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  <div>In today's rapidly evolving AI landscape, understanding how to strategically orchestrate AI agents is crucial for software engineers and machine learning practitioners. Most developers struggle with building efficient, predictable multi-agent systems because they rely on the standard "agent-centric" approach, where agents must constantly decide which tools to use—leading to inefficient workflows. This project offers you a unique opportunity to master a more advanced "task-centric" approach that creates focused, deterministic workflows by assigning specific tools directly to the tasks that need them. By completing this guided project, you'll gain practical experience in building sophisticated AI systems while learning the architectural patterns that separate amateur implementations from professional-grade solutions.<br /><br /></div><h1>Who Should Enroll</h1><ul><li><strong>University students and Entry-Level Software Engineers</strong> wanting to learn fundamental tooling techniques with AI agents</li><li><strong>AI Engineers and Developers</strong> seeking to build more efficient and predictable multi-agent systems using CrewAI</li><li><strong>Businesses</strong> who want to build chatbots and customer service automation systems</li></ul><div><br /></div><h1>Why Enroll</h1><div>This hands-on project delivers cutting-edge skills in AI agent orchestration that are increasingly demanded in the technology sector. In just 30 minutes, you'll master a sophisticated architectural pattern that most developers never learn—the strategic difference between giving tools to agents versus assigning tools to specific tasks. The course provides clear, practical demonstrations of both approaches, allowing you to understand when and why to use each method. By the end, you'll have both the theoretical understanding and practical implementation skills to build production-grade multi-agent systems that are more efficient, maintainable, and predictable than standard approaches.<br /><br /></div><h1>A Look at the Project Ahead</h1><div>Upon completing this 30-minute intermediate-level lab, you will be able to:</div><ul><li><strong>Build a customer service chatbot</strong> using CrewAI's multi-agent workflow system</li><li><strong>Master the fundamental difference</strong> between agent-centric and task-centric tool assignment approaches</li><li><strong>Create more efficient AI workflows</strong> by strategically assigning tools directly to specific tasks rather than agents</li><li><strong>Design predictable, maintainable multi-agent systems</strong> that eliminate tool selection ambiguity and improve performance</li></ul><div><br /></div><h1>What You'll Need</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Specialized CrewAI Agent Workflows: Task-Centric Tooling

Build specialized AI Agent workflows with task-centric tooling using CrewAI. Apply in-demand skills to solve real-world challenges with AI, leveraging LLMs. Create and orchestrate AI agents, work with databases, and refine prompt engineering for a customer service chatbot used by a restaurant. This hands-on project is a necessity for all software engineers and machine learning engineers seeking to level-up their skills and it takes only 30 minutes!

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  <div>Regression modelling is a cornerstone of data science, used to understand relationships between variables and make predictions across different domains. In this project, you’ll use NBA game data as a simple case study to apply and compare two powerful regression techniques: Random Forest and Kernel Ridge Regression. You'll learn how to extract insights from complex datasets, engineer your own data, evaluate model performance, and draw significant conclusions. You'll acquire skills that translate to virtually any data driven field. Whether you're building predictive systems or uncovering what drives key outcomes, the techniques you learn here will be widely applicable.<br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this guided project, you will:</div><ul><li><strong>Ingest and Explore Data: </strong>Load game logs, inspect distributions, and spot trends in his performance.</li><li><strong>Engineer Predictive Features: </strong>Create new metrics (e.g. rolling averages, usage rates) that capture hidden aspects of a player's game.</li><li><strong>Train and Tune Models: </strong>Build Random Forest and Kernel Ridge Regression pipelines in scikit‑learn and optimize hyperparameters.</li><li><strong>Analyze Results: </strong>Use feature‑importance scores to interpret which factors drive a player's performance.</li><li><strong>Visualize Results: </strong>Plot your findings with matplotlib.</li></ul><div><br /></div><h1>Learning Objectives</h1><ul><li><strong>Feature Engineering &amp; Pipelines: </strong><ul><li>Design and integrate custom processes and pipelines to prepare real sports data for regression.</li></ul></li><li><strong>Model Training, Tuning &amp; Interpretation:</strong><ul><li>Configure, evaluate, and interpret both tree‑based and kernel‑based regression models to extract actionable insights. </li><li>Learn how each model trains and how hyperparameters affect the training process.</li></ul></li></ul><div><br /></div><h1>What You'll Need</h1><ul><li>Familiarity with Python programming</li><li>Understanding of fundamental machine learning concepts (e.g. regression, overfitting, cross‑validation)</li><li>Basic familiarity with pandas DataFrames and its methods</li><li>A modern browser (Chrome, Edge, Firefox, Safari)</li></ul>
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Evaluating an NBA Player's Team Impact via Regression

Learn how to apply Random Forest and Kernel Ridge Regression by analyzing an NBA player's real game performance. In this guided project, you’ll engineer features, tune model hyperparameters, and analyze feature importance to understand what truly drives a player’s performance on the court. You'll leverage pandas for data manipulation, scikit-learn for model training and evaluation, and matplotlib for visualization. By the end, you’ll be able to confidently build, configure, and interpret industry standard regression models for a wide range of analytical use cases.

<div>Are you a program or project professional looking to leverage generative AI (GenAI) to streamline workflows, enhance stakeholder engagement, and make smarter and faster decisions? This specialization gives you the skills to do that in just 3 weeks, so you can drive AI-powered transformation in your daily program management tasks. &nbsp;<br><br></div><div><strong>You will learn:</strong> &nbsp;<br><br></div><ul><li>Job-ready GenAI skills tailored to program management to boost decision-making, streamline workflows, and strengthen stakeholder engagement. &nbsp;</li><li>How to drive operational efficiency, reduce risks, and improve strategic execution with GenAI-powered solutions. &nbsp;</li><li>How to craft effective prompts and apply AI techniques to real-world program management challenges. &nbsp;</li><li>How to harness the power of GenAI to enhance every stage of program management—from definition and delivery to closure. &nbsp;</li></ul><div>&nbsp;<br><br></div><div><strong>Program Overview</strong> &nbsp;<br><br></div><div>This program is designed to give you the skills you need to effectively use GenAI tools and techniques to enhance your program management capabilities and outcomes. It equips you with the skills to harness AI-driven transformation to boost efficiency, reduce risk, and power success in the programs and projects you manage.&nbsp;<br><br></div><div>You’ll explore the fundamentals of GenAI, its evolution, and how to apply it across key phases of program management. Then you’ll dive into prompt engineering, AI integration, stakeholder communication, risk assessment, and data-driven decision-making, along with essential guidance on ethical AI use, transparency, and governance. &nbsp;<br><br></div><div>Through hands-on labs and real-world projects, you’ll gain practical experience applying GenAI to key areas of program management. You'll explore prompt engineering methods such as naive prompting, persona patterns, and chain- and tree-of-thought approaches. You’ll craft prompts that generate AI-driven insights, text, images, and code. Plus, you'll uncover AI opportunities across the various program phases, analyze case studies, visualize data, and address ethical considerations for responsible AI use. &nbsp;<br><br></div><div>If you’re keen to build highly valuable and in-demand GenAI skills that increase your effectiveness as a program manager, enroll now and boost your resume in just 3 weeks. &nbsp;<br><br></div><div><strong>Prerequisites</strong> &nbsp;<br><br></div><div>To get the most from this program, a foundational understanding of program management or a related field is required, along with skills in planning, coordination, decision-making, problem-solving, and effective communication. &nbsp;<br><br></div><div><strong>Your Job Outlook</strong> &nbsp;<br><br></div><div>Generative AI can be used in many ways in program management but is especially useful for handling complex and time-intensive tasks. Program managers who use GenAI effectively significantly enhance their career opportunities. &nbsp;<br><br></div><ul><li>The AI in Project Management market, valued at $2.53 billion in 2023, is expected to reach $7.72 billion by 2030, growing at a 17.3% CAGR (Source: Grand View Research, 2024). This surge is driven by the rising use of GenAI tools to improve scheduling, resource planning, risk management, and stakeholder communication.&nbsp; &nbsp;</li><li>According to a McKinsey report, GenAI can automate 60–70% of project management tasks—such as documentation, scheduling, and risk tracking—freeing up to 40% more time for project managers to focus on strategic decision-making and stakeholder engagement.&nbsp;</li></ul>

GenAI: A Game Changer for Program Management Specialization 

Build powerful skills in GenAI tools and techniques that enable you to streamline workflows, analyze data, and drive better stakeholder engagement in just 3 weeks!

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  <div>Machine learning models can achieve impressive accuracy, but explaining <em>why</em> they make specific predictions remains one of the biggest challenges in data science. A model that predicts house prices with 85% accuracy is valuable, but a model that also reveals the hidden factors driving real estate valuations is transformational for business strategy. This guided project explores how to use Accumulated Local Effects (ALE) plots to unlock the "black box" of complex machine learning models, revealing actionable insights that traditional interpretation methods often miss or misrepresent. Using real estate valuation data from Taipei, Taiwan, you'll discover how location, property age, and neighborhood amenities truly influence housing prices—and why conventional interpretation techniques can lead you astray.<br /><br /></div><h1><strong>What You'll Learn</strong></h1><div>By the end of this project, you will be able to:</div><ul><li><strong>Identify limitations of traditional interpretation methods</strong>: Explore why Partial Dependence Plots (PDPs) and Marginal Plots can mislead when features are correlated, creating unrealistic scenarios like evaluating properties that don't exist in practice, leading to false insights about feature importance and market dynamics.</li><li><strong>Master correlation handling in model interpretation</strong>: Learn how feature correlations—such as the relationship between house age and distance to transit stations—confound traditional analysis methods, and develop skills to navigate these challenges using advanced visualization techniques.</li><li><strong>Implement ALE plots from scratch</strong>: Learn the theory and implementation of Accumulated Local Effects plots, understanding how they isolate individual feature effects while respecting realistic data combinations and handling correlated features properly, providing more reliable insights than conventional methods.</li><li><strong>Generate actionable real estate insights</strong>: Translate complex model behavior into concrete business recommendations for property investment, pricing strategies, and market analysis, bridging the gap between technical model outputs and strategic business decisions.</li></ul><h1><strong>Who Should Enroll</strong></h1><ul><li><strong>Data Scientists and ML Engineers</strong> working with black-box models who need to explain predictions to stakeholders, ensure model reliability, or debug unexpected model behavior in domains with correlated features. This project provides essential skills for making complex models interpretable and trustworthy in production environments where feature relationships matter.</li><li><strong>Real Estate Professionals and Financial Analysts</strong> who use machine learning models to drive investment decisions and need to understand not just what the model predicts, but why it makes those predictions. The interpretation techniques taught here are directly applicable to property valuation, market analysis, and investment strategy across any real estate market.</li><li><strong>Business Analysts and Consultants</strong> working with complex datasets where traditional interpretation methods fail due to feature correlations. This project covers advanced explainable AI methods that reveal true feature effects, essential for delivering reliable insights to executive stakeholders.</li></ul><h1><strong>Why Enroll</strong></h1><div>Model interpretability isn't just an academic exercise—it's essential for building trust, ensuring accuracy, and making data-driven decisions with confidence in domains where feature relationships are complex. Traditional interpretation methods like Partial Dependence Plots can seriously mislead when applied to real-world datasets with correlated features, leading to poor business decisions, misallocated resources, and lost opportunities. This project teaches you to navigate these pitfalls using ALE plots, a technique that provides accurate, actionable insights even when features are highly correlated. You'll work with authentic real estate data from the UCI Machine Learning Repository that contains the complex relationships and dependencies typical of real business datasets, giving you practical experience with challenges you'll face in professional data science roles where stakeholder trust depends on interpretation accuracy.<br /><br /></div><h1><strong>What You'll Need</strong></h1><div>To follow along with this guided project, you should have a solid understanding of Python and experience with data manipulation using pandas and NumPy. Familiarity with scikit-learn and basic machine learning concepts like random forests and regression is essential. Experience with matplotlib and seaborn for data visualization will be helpful. The project assumes knowledge of statistical concepts like correlation and probability distributions, and assumes you've worked with Jupyter notebooks before. Basic understanding of model interpretation concepts like feature importance is recommended but not required. All necessary libraries including the Alibi explainability toolkit and the UCI real estate valuation dataset are provided in the IBM Skills Network Labs environment. The platform works best with current versions of Chrome, Edge, Firefox, or Safari.</div>
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Learn Interpretable ML with Graph Visualizations

Your model interpretation is probably wrong. Partial Dependence Plots create impossible scenarios when features correlate, leading to false insights and bad decisions. ALE plots solve this fundamental problem. Learn the theory, build them yourself with scikit-learn, and finally get model explanations you can trust.

<div>If you want to learn a single language used for both front-end and back-end development, this JavaScript specialization from IBM is for you.&nbsp;</div><div><br><strong>After completing this IBM Specialization, you will be able to:<br></strong><br></div><ul><li>Explain core programming concepts and syntax through practical application of JavaScript for front-end and back-end development.</li><li>Develop RESTful APIs with Node.js and the Express framework to enable communication between application components.</li><li>Build dynamic, responsive front-end applications using React to deliver engaging user experiences.</li><li>Integrate NoSQL databases like MongoDB to manage unstructured data within JavaScript-based applications.</li><li>Design and deploy full-stack applications that implement authentication, routing, and persistent data storage.</li><li>Apply best practices to optimize, scale, and maintain cloud-ready applications across the software development lifecycle.</li></ul><div><br>This specialization is designed for learners who want to build both front-end and back-end applications using JavaScript, one of the most versatile and widely adopted languages in the industry.<br><br>JavaScript allows you to create cloud-based, interactive applications that scale. In this program, you’ll learn to build dynamic user interfaces with React, the popular front-end library used by industry leaders, and design robust server-side systems with Node.js and Express. Each course in the specialization focuses on a key part of the JavaScript ecosystem, giving you practical experience with professional tools and frameworks.<br><br></div><div>In the final course, you’ll connect your applications to MongoDB, a leading NoSQL database designed for flexible, high-performance data querying. You’ll also build and integrate RESTful APIs to enable communication across your application layers—bringing your JavaScript projects to life.<br><br></div><div>Throughout the program, you’ll develop multiple applications that showcase your ability to work across the front-end and back-end. By the end of the specialization, you’ll have a portfolio of JavaScript-based projects and the confidence to succeed in technical interviews.<br><br></div><div><strong>Hands-on Learning and Projects</strong></div><div>Each course features hands-on labs that simulate real-world development tasks. At the end of each course, a capstone project helps solidify your skills by applying them in an integrated application. Projects include:</div><ul><li>Creating a travel recommendation site using JavaScript APIs tailored to user preferences</li><li>Designing and coding the front end of a budget allocation app using React</li><li>Building a server-side application to manage book reviews using Node.js and Express</li><li>Developing an e-commerce platform with user authentication (JWT), REST APIs, and MongoDB-backed storage using Node.js and Express</li></ul><div><br><br>The following skills are required to be successful in this program:</div><ul><li>Fundamentals of HTML and CSS.&nbsp;</li><li>Knowledge of a version control system such as Git or GitHub is recommended.</li></ul><div><br></div>

IBM JavaScript Development Specialization

Develop your JavaScript programming skills. Learn to build interactive web apps using React, Node.js, Express, and MongoDB, and create cloud-based projects that stand out.

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  <div>Put your Product Owner knowledge into action and showcase your skills in this a portfolio-worthy capstone project. </div><div><strong><em>You will:</em></strong> </div><ul><li>Gain valuable practical experience applying your Product Owner skills to real-world tasks you can talk about in interviews.  </li><li>Engage with customers and internal stakeholders to create a well-prioritized product backlog. </li><li>Work with the development team to plan Sprints and achieve the “Done” state. </li><li>Review changes and integrate customer feedback into the product development cycle.</li></ul><div><br /></div><div><strong>Course Overview</strong>  <br /><br /></div><div>During the project, you’ll complete tasks that simulate the work of a Produce Owner with customers and internal stakeholders. You’ll define the goal and mission, identify stakeholders, develop epics, and create user stories. You’ll practice sprint planning, managing product backlogs, defining the acceptance criteria, creating a communication plan, and managing issues and roadblocks. You’ll also manage continuous improvement and create a retrospective improvement summary. </div><div> </div><div>Enroll now and gain demonstrable hands-on experience employers value in this portfolio-worthy capstone project. <br /><br /></div><div><br /></div><h1>Course Syllabus</h1><div><strong>Welcome</strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: Helpful Tips for Course Completion</li><li>Reading: Project Overview</li></ul><div><strong>Module 1: Product Owner and Scrum: The Kickoff</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Product Owner Roles and Skills </li><li>Reading: Project Kickoff Artifacts and Preparation</li><li>Activity: Make Decisions as a Product Owner</li><li>Video: Working with the Project Sponsor </li><li>Reading: The Working Relationship between the Product Owner and the Sponsor</li><li>Video: Agile Ceremonies: Kickoff and Sprint Planning </li><li>Lab: Create Initial Artifacts</li><li>Module 1 Practice Quiz: Product Owner and Scrum: The Kickoff</li><li>Module 1 Summary: Product Owner and Scrum: The Kickoff</li><li>Module 1 Graded Quiz: Product Owner and Scrum: The Kickoff </li></ul><div><strong>Module 2: Delivering Value to the Customer</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Managing a Sprint </li><li>Reading: Managing Product Backlog</li><li>Lab: Managing Backlog</li><li>Reading: Developing the Definition of Done</li><li>Activity: Definition of Done and Acceptance Criteria</li><li>Video: Structure Guiding a Sprint </li><li>Video: Scrum Roles that Drive Requirements and Prioritization </li><li>Lab: Create Sprint Goals, Definition of Done, and Communication Plan</li><li>Video: Agile Ceremonies in Action: Daily Scrum </li><li>Reading: Scrum Artifacts – To Document or Not To Document</li><li>Reading: Gathering Requirements and Input Throughout Scrum Project</li><li>Reading: Negotiating Conflicting Priorities</li><li>Reading: Maintaining the Integrity of the Agile Manifesto</li><li>Video: Agile Ceremonies in Action: Product Backlog Refinement </li><li>Lab: Managing Issues and Roadblocks</li><li>Module 2 Practice Quiz: Delivering Value to the Customer</li><li>Module 2 Summary: Delivering Value to the Customer</li><li>Module 2 Graded Quiz: Delivering Value to the Customer </li></ul><div><strong>Module 3: Continuous Improvement</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Product Management Stakeholder New AI Requirement </li><li>Lab: Managing New Requirements from Key Stakeholders</li><li>Video: Continuous Improvement and Sprint Retrospectives </li><li>Reading: Balancing Agile Principles, Documentation, and Continuous Improvement</li><li>Reading: Product Owner's Role in Leveraging Improvements to Deliver Value</li><li>Video: Tools Used to Document in a Scrum </li><li>Video: Agile Ceremonies in Action: Sprint Retrospective </li><li>Lab: Retrospective Improvement Summary</li><li>Module 3 Practice Quiz: Continuous Improvement</li><li>Module 3 Summary: Continuous Improvement</li><li>Module 3 Graded Quiz: Continuous Improvement </li></ul><div><strong>Module 4: Final Project</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Calculating Agile project performance metrics </li><li>Reading: Final Project: Summarize the e-Commerce Project - Tasks and Instructions</li><li>Final Project Submission: Summarize the e-commerce project</li><li>Module 4 Summary: Final Project </li><li>Final Quiz: Product Owner: Capstone Project</li></ul><div><strong>Module 5: Final Assessmen</strong></div><ul><li>Final Quiz: Product Owner: Capstone Project</li><li>Retake Exam</li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-Up </li><li>Congratulations and Next steps</li><li>Team and Acknowledgments</li><li>Copyright and Trademarks</li><li>Reading: Introduction to the Bonus Module</li></ul><div><strong>[Bonus] Module: Certifications, Portfolio Development, and Job Readiness</strong></div><ul><li>Video: Importance of Certifications in Maintaining Standards </li><li>Reading: Job Outlook and Certifications</li><li>Reading: Role of Experience and Knowledge in Certification</li><li>Lab: Develop your Path to Certification</li><li>Reading: Develop a Portfolio of Agile Artifacts</li><li>Video: Personal Portfolio Development </li><li>Video: Developing a Resume </li><li>Video: Effective Job Searches </li><li>Video: Interview Tips </li><li>Reading: Interview Questions</li><li>Practice Quiz: Certifications, Portfolio Development, and Job Readiness</li><li>Summary: Certifications, Portfolio Development, and Job Readiness</li></ul><div><strong>Course Rating and Feedback</strong></div><ul><li>Course Rating and Feedback</li></ul><div><strong>Badge</strong></div><ul><li>How to Claim Your Certificate</li><li>Claim Your Badge</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Before starting this course, we recommend that you have completed all the other courses in the IBM Product Owner Professional Certificate to ensure you have the skills you need for this capstone project.  </div>
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Product Owner: Capstone Project

Gain practical Product Owner experience in this hands-on capstone project to showcase your Agile planning, backlog management, and sprint execution skills. 

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  <div>Get ready to begin your journey to becoming a driving force behind successful Agile teams as a Product Owner. This course is the perfect starting point for anyone looking to explore the role and build the understanding needed to align product vision with business goals and deliver maximum value. <br /><br /></div><div><strong>You will:</strong>  </div><ul><li>Gain essential insights into the Product Owner role, career progression, salary potential, and advancement opportunities in Agile environments </li><li>Learn how to use Agile principles to effectively manage and prioritize the product backlog </li><li>Learn how to communicate a clear product vision that aligns with stakeholders’ expectations </li><li>Build key management skills for collaborating with Scrum teams, engaging stakeholders, and delivering customer value </li></ul><div><strong>Course overview</strong>  <br /><br /></div><div>Product Owners play a central role in Agile success—connecting business goals with customer needs and guiding development teams with clarity and purpose. This course gives you the foundational knowledge, tools, and competencies to begin your Product Owner journey with confidence. <br /><br /></div><div>During the course, you’ll gain a solid understanding of a Product Owner’s responsibilities within the Scrum framework and learn how to navigate key stakeholder relationships. You’ll also explore practical strategies for defining and communicating product vision and examine the end-to-end Agile process from a Product Owner’s perspective. <br /><br /></div><div>Throughout, you’ll gain valuable, hands-on experience in interactive labs and projects that focus on product strategy and maximizing business value. You’ll also hear from industry experts who share real-world insights, practical tips, and career guidance to help you explore the employment opportunities and succeed in the field. <br /><br /></div><div>Want to take your first step toward a rewarding career as a Product Owner? Enroll today! <br /><br /></div><div><strong>Prerequisites</strong>  <br /><br /></div><div>The course is designed for anyone looking to build a solid understanding of what is required to thrive as a Product Owner in Agile and Scrum environments. <br /><br /></div><div>No prior experience is needed in Product Ownership, Agile, or Scrum.  <br /><br /></div><div><strong>Related</strong><em> </em><strong>professional certificate</strong>  <br /><br /></div><div>This course is part of the IBM Product Owner Professional Certificate  <br /><br /></div><div>If you're an aspiring Product Owner looking to build the skills you need to kickstart your career, we recommend you enroll in the mentioned program and work through the courses in order. Within a short time, you'll have job-ready skills and practical experience on your resume that will help you start your journey as a successful Product Owner! </div><div> </div><div><strong>Course syllabus</strong> </div><div>The course consists of the following modules. <br /><strong><br />Module 0: Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives &amp; Syllabus</li><li>Reading: Grading Scheme</li></ul><div><strong>Module 1: The Role of the Product Owner</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Overview of Product Owner Professional Certificate</li><li>Video: Product Owner's Role in Action</li><li>Video: Product Owner Skills Inventory</li><li>Video: Agile Product Owner versus Traditional Product Management Roles</li><li>Expert Viewpoints: Know Your Experts</li><li>Lab: Review the Product Owner Role and Activities in SCRUM</li><li>Practice Quiz: The Role of the Product Owner</li><li>Expert Viewpoints: Communications: Significance of Planning Product Owner Role and Skills</li><li>Reading: Summary and Highlights: The Role of the Product Owner</li><li>Graded Assignment: Graded Quiz: The Role of the Product Owner</li></ul><div><strong>Module 2: Opportunities for Agile Product Owners</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Expert Viewpoints: Choosing the Product Owner Role and Prior Experiences</li><li>Video: How to Develop Your Skill Set</li><li>Activity: Identify Product Owner Skills and Roles</li><li>Video: Agile Product Owner: Employment Opportunities</li><li>Video: How to Become a Product Owner </li><li>Video: Career Path for Product Owners </li><li>Expert Viewpoints: Becoming an Agile Product Owner</li><li>Activity: Explore Career Paths for Product Owner</li><li>Practice Quiz: Opportunities for Agile Product Owners </li><li>Reading: Summary and Highlights: Opportunities for Agile Product Owners </li><li>Graded Assignment: Graded Quiz: Opportunities for Agile Product Owners</li></ul><div><strong>Module 3 : Guided Project, Final Assessment, and Course Wrap-up</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Reading: Final Project Overview</li><li>Practice Assignment: Final Project: Potential Product Owner Job Opportunities</li><li>Reading: Course Glossary: The Product Owner Profession - Unleashing the Power of SCRUM</li><li>Final Quiz: The Product Owner Profession - Unleashing the Power of Scrum</li></ul><div><strong>Module: Course Wrap-up</strong></div><ul><li>Video: Course Wrap-up</li><li>Expert Viewpoints: Product Owner Career - Tips and Insights</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><div><strong>Course Rating and Feedback</strong><br />Course Rating and Feedback<br /><br /></div>
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Product Owner: Role and Fundamentals

Begin your Product Owner journey by building skills and knowledge that are essential to forging a successful career. 

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  <div> Want to build key skills you need to become the key decision-maker who shapes digital products and drives Agile teams to success?  <br />This course equips aspiring Product Owners with essential skills to lead innovation within Agile frameworks like Scrum. <br /><br /><strong>You will:</strong> </div><ul><li>Learn how to shape and communicate the product vision in alignment with stakeholder and business needs </li><li>Create and prioritize product backlogs by developing Personas, Epics, and User Stories </li><li>Plan and validate MVP releases using real-world Agile strategies </li><li>Gain job-ready Product Owner skills that transfer across industries and teams <br /><br /></li></ul><div>During this course, you’ll learn how to craft a compelling product vision, translate it into actionable tasks, and guide Scrum teams to deliver value. You’ll dive deep into building and evolving product visions, planning releases, defining key performance indicators (KPIs), and developing product roadmaps. Plus, you’ll master essential tools like product roadmaps, MVP planning, and key performance indicators that align with real business goals. <br /> <br />Additionally, you’ll explore how to leverage core Agile concepts, such as the Minimum Viable Product (MVP), to support strategic goals. You’ll learn how to track team velocity, manage stakeholder expectations, and balance short-term delivery with long-term vision. Plus, you'll gain practical knowledge in technical practices, wireframing, acceptance testing, and technical writing, that are crucial for collaborating with cross-functional teams, and address how to manage technical debt effectively, integrating its reduction into sprint planning. <br /><br />Enroll today and build the expertise you need to lead Agile product development with confidence. </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>To take this course, you need a foundational understanding of product development workflows or experience in related roles, along with prior exposure to Agile principles, terminology, and frameworks. </div><div> </div><div>If you're an aspiring Product Owner looking to build the skills you need to kickstart your career, we recommend you enroll for one of these programs and work through the courses in order. Within a short time, you'll have job-ready skills and practical experience on your resume that will help you start your journey as a successful Product Owner! <br /><br /><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: How to Make Most of this Course  </li><li>Reading: Grading Scheme </li></ul><div> </div><div><strong>Module 1: Introduction to Product Ownership and Strategic Foundations   </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Understanding the Product Owner Role </li><li>Reading: Product Owner Skills Checklist </li><li>Video: SME 1:  Key Roles of the Product Owner </li><li>Video: Product Value Maximization </li><li>Video: Eliciting Requirements </li><li>Video: Scenario Development </li><li>Video: Technical Debt Management </li><li>Video: SME 2:  Managing Technical Debt  </li><li>Reading: Technical Debt User Stories </li><li>Lab: Develop User Stories for a Maintenance Sprint </li><li>Practice Quiz: Introduction to Product Ownership and Strategic Foundations </li><li>Reading: Module 1 Summary and Highlights: Introduction to Product Ownership and Strategic Foundations </li><li>Reading: Module 1 Glossary: Introduction to Product Ownership and Strategic Foundations </li><li>Graded Quiz: Introduction to Product Ownership and Strategic Foundations </li></ul><div><strong><br />Module 2: Product Planning, Roadmaps, and Metrics</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Governance Planning and Budgeting </li><li>Video: SME 3: Role of the Product Owner in Strategic Planning  </li><li>Video: Demo: Lean Canvas Planning  </li><li>Lab: Lean Canvas Creation </li><li>Video: KPI Development and Management </li><li>Video: Demo: Product Roadmaps </li><li>Video: Scaling Agile Frameworks </li><li>Video: Release Planning </li><li>Video: SME 4: Operational Planning Challenges and Tips  </li><li>Video: Demo: Release Planning </li><li>Lab: Network Diagramming Method  </li><li>Practice Quiz: Product Planning, Roadmaps, and Metrics </li><li>Reading: Module 2 Summary and Highlights: Product Planning, Roadmaps, and Metrics </li><li>Reading: Module 2 Glossary: Product Planning, Roadmaps, and Metrics </li><li>Graded Quiz: Product Planning, Roadmaps, and Metrics </li></ul><div><strong><br />Module 3: Agile Practices, Technical Skills, and Communication</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Technical Writing and Communication </li><li>Video: SME 5: Tips for Effective Technical Writing </li><li>Video: Demo: Persona Development </li><li>Lab: Persona Development </li><li>Video: Acceptance Testing and UX Integration </li><li>Video: Managing Customer Feedback </li><li>Reading: Product Management Lifecycle Overview  </li><li>Video: Working with Product Management Lifecycle </li><li>Video: SME 6:  Effective Product Owner and Product Manager Collaboration Tips  </li><li>Reading: Velocity Planning </li><li>Video: Demo: Launch Planning and Estimation Techniques  </li><li>Lab: Plan Velocity Based on a Scenario  </li><li>Video: Wireframes, Mock-Ups, and Prototypes </li><li>Practice Quiz: Product Planning, Roadmaps, and Metrics </li><li>Reading: Module 3 Summary and Highlights: Product Planning, Roadmaps, and Metrics </li><li>Reading: Module 3 Glossary: Product Planning, Roadmaps, and Metrics </li><li>Graded Quiz: Product Planning, Roadmaps, and Metrics </li></ul><div><strong><br />Module 4: Guided Project, Final Assessment, and Course Wrap-Up</strong> </div><ul><li>Reading: Final Project Overview </li><li>Lab: Final Project: Autopro Solutions Inc. </li><li>Lab: Final Project Submission: Autopro Solutions Inc. </li><li>Reading: Final Project Solution </li><li>Assessment: Final Quiz </li></ul><div><strong>Module 5: Course Wrap-Up</strong> </div><ul><li>Video: Course Wrap-Up  </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments  </li></ul><div><strong>Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li></ul><div> </div><div><br /><br /></div><div> </div>
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Product Owner: Skills and Tools

Craft product strategy, map complex user stories, and prioritize releases with real-world Scrum practices. Build a portfolio-ready plan using lean startup tool, AI-driven backlog techniques, and scalable product roadmaps.  

<div>The demand for data management professionals is projected to grow <strong>140% by 2030</strong> (IoT Analytics). Organizations across every industry are hunting hard for skilled professionals to manage, secure, and unlock the value stored in their data to stay competitive.&nbsp;</div><div>This <strong>IBM Data Management Professional Certificate</strong> equips you with the job-ready skills and practical experience employers are looking for in just 3 months.&nbsp;<br><br></div><div><strong>You will :</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Build the job-ready skills to launch your career in data management in only 3 months.&nbsp;</li><li>Get hands-on with essential tools like spreadsheets, SQL, databases, and business intelligence (BI) platforms.&nbsp;</li><li>Collaborate across teams, align data strategy with business goals, and present insights through compelling visualizations.&nbsp;</li><li>Learn the core concepts of data management, including cloud environments, data integration, processing, storage, scalability, and security.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>During this program, you’ll learn how to collect, organize, store, and protect data—ensuring it’s accurate, accessible, and secure—while supporting teams in making data-driven decisions.&nbsp;</div><div>&nbsp;</div><div>You’ll gain experience with industry-standard tools like Excel, IBM Cognos, and Tableau through hands-on projects and labs. You’ll manage databases such as <strong>MySQL</strong>, <strong>PostgreSQL</strong>, and <strong>MongoDB</strong>, and explore different data architectures, including <strong>data warehouses</strong>, <strong>data lakes</strong>, and <strong>data marts</strong>. You’ll also dive into key concepts like <strong>SQL queries, RDBMS design, integration and migration strategies, data pipelines, ETL, cloud storage</strong>, and <strong>security protocols</strong>.&nbsp;</div><div>&nbsp;</div><div>In each course, you'll apply what you learn through real-world labs and projects designed to:&nbsp;</div><ul><li>Demonstrate your applied data management skills using real tools and workflows&nbsp;</li><li>Show your ability to solve common business data challenges&nbsp;</li><li>Communicate data insights with visualizations like <strong>treemaps, scatterplots, histograms</strong>, and more&nbsp;</li><li>Build a portfolio that proves you’re ready to contribute from day one&nbsp;</li></ul><div>&nbsp;</div><div>Whether starting from scratch or switching careers, this program builds the skills and experience you need to stand out to hiring managers. Enroll today and kickstart your journey to a successful data management career!&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>No prior experience is necessary to get started. However, some prior knowledge or experience in data management, project management, data analysis, or related fields is advantageous but not mandatory.&nbsp;</div><div>&nbsp;</div><div>To get the most from this program, you do need basic computer literacy.&nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for data managers is on a high growth trajectory. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>U.S. Bureau of Labor Statistics projects employment for <strong>database administrators and architects</strong> to grow by <strong>about 8–9% from 2022–2032</strong>, outperforming the ~4% average for all occupations&nbsp;</li><li>Indeed lists the average U.S. <strong>Data Manager base salary</strong> at <strong>$98,521</strong>, with a range from about <strong>$56K to $171K</strong>&nbsp;</li></ul><div>&nbsp;</div>

IBM Data Management Professional Certificate

 Gain the practical skills and real-world data management experience you need to get your first job in data management —in under 3 months. No degree or previous experience needed. 

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  <div>Demonstrate your ability to perform in a technical support role by applying the new skills you developed from the previous courses in the IT Support Professional Certificate to real-world situations.  </div><div> </div><div>Practice analyzing user help requests and troubleshooting issues that you would encounter in a helpdesk or other similar role. Equip yourself with the IT support skills used in everyday professional settings through the case studies in this course. </div><div>This capstone course leads you through a series of case studies that require hands-on work to resolve. Upon completing this course, you’ll enrich your perspective on employing technical support skills in professional settings, making you a sought-after IT professional.  </div><div> </div><div>You’ll demonstrate your knowledge of hardware, operating systems, system software, networking, security, and cloud computing – all areas with which a tech support role interacts regularly. You'll also showcase your knowledge and understanding of escalation, levels of support, ticketing systems, and other support tools and systems, as well as communication and customer service skills for delivering technical support. </div><div> </div><div>This course also includes a practice exam containing questions on the topics and in the same style as the CompTIA Tech+ Certification Exam. Use the course’s final assessment to measure your preparedness for the Tech+ certificate exam.  </div><div> </div><div>Before taking this capstone, we highly recommend that you first complete all other courses in the IBM Tech. Support &amp; IT Fundamentals Professional Certificate.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Hardware and Operating Systems </strong></div><ul><li>Identifying System Information for Windows and MacOS devices</li><li>Case Study: Computer Peripherals and Connectivity  </li><li>Case Study: Computer Display Device Installation </li><li>Case Study: Computer Performance and OS Fundamentals  </li><li>Graded Case Study: Computer Hardware and Software Specifications</li></ul><div> </div><div><strong>Module 2: Software Programming and Databases </strong></div><ul><li>Case Study: Browser Versions, Installs and Updates  </li><li>Case Study: Updating Desktop Software  </li><li>Case Study: Browser Security Settings and Client-side Scripting Security Settings and Client-Side Scripting  </li><li>Case Study: Database Roles and Permissions  </li><li>Graded Case Study: System Software, Versions, and Application Software Compatibility </li></ul><div> </div><div><strong>Module 3: Networking and Storag</strong>e </div><ul><li>Case Study: Corporate User Needs Access to a Network Drive</li><li>Case Study: Network Protocols, Firewalls, and Proxy Servers  </li><li>Case Study: Hosted Storage and Sharing  </li><li>Graded Case Study: Configure, Test, and Troubleshoot a SOHO Network  </li></ul><div> </div><div><strong>Module 4: Cybersecurity </strong></div><ul><li>Case Study: Intellectual Property and DRM  </li><li>Case Study: Security and Information Privacy  </li><li>Case Study: Countering Security Threats and Hardening Devices  </li><li>Case Study: Password Management Techniques  </li><li>Graded Case Study: Public Browsing Safety  </li></ul><div> </div><div><strong>Module 5: Cloud Computing </strong></div><ul><li>Case Study: Virtual and Bare-Metal Servers  </li><li>Case Study: Cloud Networking Using VPCs  </li><li>Case Study: Identity and Access Management (IAM)  </li><li>Case Study: Cloud Storage and Databases  </li><li>Graded Case Study: Cloud Service and Deployment Models</li><li>Reading: Cloud Exam Instructions</li><li>Practice Exam: Cloud Computing Basics</li></ul><div><strong>Module 6: Final Exam and Practice for CompTIA Tech+ Certification</strong></div><ul><li>Reading: Instructions for the Practice Exam</li><li>Graded Quiz: Practice Exam for the Tech+ Certification</li></ul><div>Module 7: Course Wrap-up</div><ul><li>Reading: Congratulations and Next Steps</li><li>Reading: CompTIA Tech+ Offer</li><li>Reading: Thanks from the Course Team</li><li>Reading: Copyrights and Trademarks</li><li>Reading: Course Feedback</li><li><br /></li></ul><div><br /></div><h1>What You'll Learn</h1><ul><li>Articulate processes and information related to IT fundamentals in the context of providing technical support. </li><li>Demonstrate systematic and effective troubleshooting and problem-solving skills. </li><li>Use diagnostic tools and tracking systems while applying customer service skills to troubleshoot and solve customer-facing issues. </li><li>Apply a customer mindset to mitigate conflict using de-escalation skills. </li></ul><div><br /></div><h1>Recommended Skills Before Taking this Course</h1><div>Complete all of the courses within the IBM Tech. Support &amp; IT Fundamentals Professional Certificate.</div>
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IT Support Case Studies and Certification Preparation

Equip yourself with the IT support skills used in everyday professional settings through the case studies in this capstone course. Additionally, prepare for the CompTIA IT Fundamentals (Tech+) Certification Exam with a practice exam. 

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  <div><strong>CrewAI</strong> is a powerful framework for <strong>orchestrating AI agents</strong> that collaborate on complex, multi-step workflows. In this hands-on project, you'll integrate CrewAI with <strong>IBM Watsonx</strong> using the <strong>LLaMA 3</strong> model to build a smart invoice dispute resolution system. The agents will handle tasks such as <strong>parsing invoices, detecting discrepancies, validating policies, and drafting professional dispute letters</strong>—automating a process that is traditionally manual and time-consuming.<br /><br /></div><div>Each agent is assigned a focused role—like invoice parsing, validation, or response generation—while CrewAI handles coordination, task delegation, and shared memory. Watsonx enhances each agent’s language and reasoning capabilities, enabling a scalable, intelligent system applicable across finance, procurement, and customer service domains.<br /><br /></div><div>By completing this project, you’ll gain hands-on experience with multi-agent systems, schema-based prompting, and structured output generation—skills essential for building real-world AI solutions.<br /><br /></div><h1><strong>Who Should Enroll</strong></h1><ul><li>Developers, data analysts, and business professionals looking to automate invoice-related workflows</li><li>Anyone eager to learn how AI agents collaborate to extract, analyze, and act on structured data</li><li>Learners interested in practical applications of CrewAI, IBM Watsonx, and LLM-based orchestration</li></ul><h1><strong>Why Enroll</strong></h1><div>In just 30 minutes, you'll go from concept to execution—building an AI-powered invoice dispute bot through clear, practical steps. This project offers a real-world use case to deepen your understanding of agent collaboration, language models, and intelligent automation. Whether you're new to AI or looking to advance your skills, you'll walk away with a functional prototype and the confidence to apply these techniques in production settings.</div><div><br /></div><h1>A Look at the Project Ahead</h1><div>After completing this guided project, you will be able to do:</div><ul><li><strong>Understand CrewAI's architecture</strong> – Explain the roles of agents, tasks, and the Crew structure for orchestrating multi-agent workflows.</li><li><strong>Set up and integrate Watsonx LLM (LLaMA 3)- </strong>Configure and use IBM Watsonx with the LLaMA 3 model to enable structured outputs and reasoning-driven tasks within CrewAI agents.</li><li><strong>Design intelligent agents</strong> – Create agents with defined roles, tools, memory, and behavior tailored to real-world scenarios like invoice processing and validation.</li><li><strong>Build collaborative task workflows</strong> – Orchestrate multiple agents to perform complex, end-to-end tasks such as data extraction, validation, anomaly detection, and communication.</li></ul><div><br /></div><h1>What You'll Need</h1><div><strong>Technical Requirements:</strong> A basic understanding of Python programming. Experience with AI or LLMs is helpful but not required.</div><div><strong>Browser Setup:</strong> A modern web browser to access CrewAI tools, follow the guided environment, and run your code.</div>
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Build a Smart Invoice Dispute Bot with CrewAI & Watsonx

Build multi-agent AI systems with CrewAI and IBM Watsonx for automated billing dispute resolution. Apply in-demand AI orchestration skills, agent coordination, and LLM integration. Create intelligent agents that detect invoice anomalies, analyze billing discrepancies, and generate professional dispute responses. This hands-on project teaches essential multi-agent AI development techniques for finance automation—critical skills for AI engineers and developers building enterprise solutions in just 30 minutes!

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  <div>Keen to build the powerful communication skills Product Owners need to effectively manage communications and engage stakeholders? This course helps you to the build skills that are essential for impactful communication so you can drive product success.   </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Powerful strategies for effectively communicating the voice of the customer within Agile teams and organizations.  </li><li>Valuable strategies for engaging stakeholders for feedback gathering, assumptions validation, and effective decision-making.  </li><li>Effective negotiation and conflict resolution skills that help you navigate competing priorities and viewpoints.  </li><li>Facilitation and leadership techniques to successfully lead product discovery, run collaborative workshops, and guide decision-making processes. </li></ul><div><strong>Course Overview</strong>   </div><div><br /></div><div>Effective communication is a critical skill for a Product Owner who wants to drive product success. It is essential for stakeholder management, collaboration, and customer engagement.  <br /><br /></div><div>During this course, you’ll be introduced to the foundational concepts of collaboration and communication that successful Product Owners rely on every day. You’ll then explore advanced techniques to collaborate with product development teams. Plus, you’ll look at advanced tools and techniques for managing product deliverables, prioritizing requirements, and balancing customer needs.   <br /><br /></div><div>If you’re keen to shine out in interviews and meetings, enroll today to build powerful communication skills that will help you to stand out as a successful Product Owner.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Foundations of Collaboration</strong></div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview</li><li>Reading: How to Make the Most from this Course </li><li>Video: Define the Communications Model</li><li>Expert Viewpoints Video: Meet the Experts</li><li>Lab: Collaboration and Product Vision</li><li>Video: The Need for Effective Communications Planning</li><li>Expert Viewpoints: Communications: Significance of Planning</li><li>Demo Video: Communication Matrix: Best Practices and Product Owner’s Role</li><li>Practice Quiz: Foundations of Collaboration</li><li>Expert Viewpoints: The Importance of Communication and Collaboration </li><li>Summary and Highlights: Foundations of Collaboration</li><li>Graded Assignment: Graded Quiz: Foundations of Collaboration</li></ul><div><strong>Module 2: Advanced Techniques in Collaboration and Product Development </strong></div><ul><li>Video: Elements of a Cross-Functional Team</li><li>Video: Team Development and Management Objectives</li><li>Reading: The 5 Dysfunctions of a Team Overview by Patrick Lencioni</li><li>Reading: How a Product Owner Interacts with the Scrum Team</li><li>Video: Developing an Agile Mindset  </li><li>Reading: Compare and Contrast Program Management Frameworks</li><li>Video: Breaking Down Requirements</li><li>Lab: Breaking Down Requirements </li><li>Reading: Quick Overview of the INVEST Model for Creating Good User Stories</li><li>Expert Viewpoints: Using Models and Guidelines (Reality versus Theory)</li><li>Video: Balancing the Needs of Scrum Team, Stakeholders, and Customers</li><li>Practice Quiz: Setting the foundation for Scrum (Team Dynamics, Agile Mindset, Stakeholders) Video: Kotler’s Five Levels of a Product </li><li>Video: Mastering Conflict Resolution: Five Conflict Management Styles</li><li>Lab: Scenarios of Conflict and Negotiation (Practice)</li><li>Reading: Overview of Key Marketing Needs (Collateral, Value, Velocity)</li><li>Video: Product Owner Collaboration Strategies Beyond Agile Team</li><li>Reading: Summary of the 4-Steps to Gathering and Validating Requirements</li><li>Video: Eliciting and Validating Requirements</li><li>Lab: Using the Tuckman Ladder Model to Help Prepare for Technical Readiness</li><li>Demo Video: RACI Matrix: A Guide to Effective Stakeholder Management in Agile Projects</li><li>Practice Quiz: Understanding Roles and Styles in Negotiation</li><li>Reading: Summary and Highlights: Advanced Techniques in Collaboration and Product Development </li><li>Graded Assignment: Advanced Techniques in Collaboration and Product Development </li></ul><div><strong>Module 3: Managing Product Deliverables Through Effective Collaboration </strong></div><ul><li>Reading: Methods and Tools Used to Prioritize Requirements (MoSCoW, Weighted Matrix, Dot Voting, etc)</li><li>Video: Interconnection Between Prioritization and Product Backlog</li><li>Lab: Working with Tradeoffs in Product Backlog Management</li><li>Lab: Sharing Status Updates as a Product Owner</li><li>Video: Product Owner Responsibilities in Knowledge and Document Management</li><li>Expert Viewpoints Video: Working with Global Teams and Virtual Collaboration</li><li>Reading: Survey of Tools and Methods for Virtual Collaboration (Pros and Cons)</li><li>Lab: Collaboration, Engagement, and Accountability in Global and Virtual Environments</li><li>Practice Quiz: Tools, Techniques, and Models to Manage Product Deliverables</li><li>Video: Effective Collaboration with DevOps and Scrum Master </li><li>Reading: Survey of Collaborative Problem-Solving Techniques (Pros and Cons)</li><li>Video: Managing Conflict During Problem-Solving  Discussions</li><li>Reading: Designing and Facilitating Collaborative Workshops</li><li>Lab: Planning and Facilitating Collaborative Workshops</li><li>Video: Communication Styles</li><li>Expert Viewpoints Video: Managing Conflicts and Communication Styles (Pros and Cons)</li><li>Lab: Working Effectively with Four Communication Styles</li><li>Practice Quiz: Understanding and Working with Different Perspectives</li><li>Reading: Summary and Highlights: Managing Product Deliverables Through Effective Collaboration</li><li>Graded Assignment: Graded Quiz: Managing Product Deliverables Through Effective Collaboration</li></ul><div><strong>Module 4: Final Project and Assessment</strong></div><ul><li>Final Project: Mastering Product Ownership</li><li>Final Project Submission </li><li>Expert Viewpoints: Navigating Different Roles and Styles</li><li>Course Glossary</li><li>Final Quiz</li><li>Video: Course Wrap-up </li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is designed for both existing and aspiring Product Owners. While no specific technical prerequisites exist, familiarity with Agile and Scrum concepts is highly beneficial.  </div>
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Product Owner: Managing Communications & Stakeholders

Boost your product leadership skills by mastering Agile collaboration and communication. Learn to manage teams and backlogs.  

<div>Ready to start a career in tech or switch to Java development? This Professional Certificate equips you with the tools, technologies, Java skills, and hands-on experience you need to launch your career and succeed as a Java developer. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Build job-ready Java development skills and gain hands-on experience employers look for in just 3 months&nbsp;</li><li>Deploy Java applications using modern design patterns, testing practices, and cloud-native tools&nbsp;</li><li>Create engaging and interactive web apps by combining HTML, CSS, JavaScript, and Java frameworks like Spring&nbsp;</li><li>Design and launch scalable, database-driven apps using SQL/NoSQL databases, microservices, and Docker containers&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>With experienced Java developers earning over $138,000/year, Java is one of the most in-demand skills in tech. But why is Java so popular with employers? Java powers everything from web apps to enterprise systems. In this program, you’ll learn how to design, build, and deploy modern Java applications that are scalable, secure, and cloud-ready... Skills that will make you stand out to hiring managers!&nbsp;</div><div>&nbsp;</div><div>During the program, you’ll master the fundamentals of Java programming and object-oriented development—core skills every developer needs. You'll learn how to build dynamic web applications by combining front-end technologies like HTML, CSS, and JavaScript with powerful Java back-end frameworks such as Spring. Plus, you’ll gain valuable experience integrating both SQL and NoSQL databases to design scalable, data-driven applications.&nbsp;</div><div>&nbsp;</div><div>You'll also explore DevOps tools like Git, Docker, and containers to deploy cloud-native solutions efficiently and securely. Plus, you’ll work with generative AI tools that help you boost productivity and code quality. &nbsp;</div><div>&nbsp;</div><div>Throughout the program, you’ll gain hands-on experience in practical labs and <strong>10+ real-world projects that simulate real-world scenarios</strong>, including:&nbsp;</div><ul><li>Build database-driven apps with SQL and<strong> </strong>Hibernate&nbsp;</li><li>Develop console-based tools like a mood tracker and shopping cart app&nbsp;</li><li>Create and deploy a Spring Boot web app and a bed &amp; breakfast booking system&nbsp;</li><li>Launch your own portfolio site and contribute to open-source on GitHub&nbsp;</li><li>Use CodeCraftHub to create personalized learning applications&nbsp;</li></ul><div>&nbsp;</div><div>By the end , you’ll have a professional-grade portfolio and the practical skills to impress employers and ace your interviews. <strong>Enroll today</strong> and boost your resume in only 3 months!&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is ideal for beginners. No prior programming, software development, or Java experience is needed to get started.&nbsp; &nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for Java developers is high. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>The U.S. Bureau of Labor Statistics projects a <strong>17% growth</strong> in demand for software developers (including Java roles) from 2023 to 2033—well above the 4% average for all occupations.&nbsp;</li><li>In 2023, there were roughly <strong>1.67 million Java-related positions</strong> in the U.S., with approximately <strong>487,000 new roles projected</strong> to be added by 2033—a <strong>29% increase</strong> <a href="https://www.franklin.edu/career-guide/software-developers/how-much-salary-do-java-developers-make?utm_source=chatgpt.com">Franklin University</a>&nbsp;</li><li>OutstandingSt<a href="https://catalog.skills.network/catalog_item/7790">Java Programming: Capstone Project<br> <br></a><strong>ile)</strong>&nbsp;</li></ul>

IBM Java Developer Professional Certificate  

Build the in-demand skills and hands-on experience you need to be job-ready as a Java Developer in only 3 months. No prior experience required. 

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  <div>Ready to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases such as FAISS and Chroma DB. You'll gain the cutting-edge skills businesses need to design and build scalable, high-performance RAG applications that drive smarter search and response capabilities. <br /><br />During the course, you'll learn how to differentiate retrieval patterns, implement similarity search using FAISS, and integrate LangChain with modern UI frameworks such as Gradio. Then, in practical labs and guided projects, you'll get hands-on experience building an end-to-end AI application that retrieves, summarizes, and answers questions in real time. <br /><br />From multi-query and parent document retrievers to semantic vector search and evaluation, this course will give you the skills to improve internal search engines, chatbot accuracy, and content recommendation systems. <br /><br />Enroll today and enhance your portfolio with hands-on experience building AI that understands context—and delivers results.</div><div> </div><h1>Learning Objectives</h1><ul><li>Build RAG applications using vector databases and advanced retrieval patterns </li><li>Employ the core mechanics of vector databases such as FAISS and Chroma DB and implement indexing algorithms like HNSW </li><li>Implement advanced retrievers using LlamaIndex and LangChain to improve the quality of LLM responses </li><li>Develop comprehensive RAG applications by integrating LangChain, FAISS, and front-end user interfaces built using Gradio </li></ul><h1>Course Syllabus</h1><div><strong>Module 1: Advanced Retrievers for RAG<br /> </strong><br /><strong>Lesson 0: Welcome to the Course</strong></div><ul><li>Video: Course Introduction</li><li>Reading: Course Overview</li><li>Video: RAG and Agentic AI Professional Certificate Overview</li><li>Plugin/Reading: Helpful Tips for Course Completion</li></ul><div><strong>Lesson 1: Work with Advanced Retrievers in LangChain</strong></div><ul><li>Video: Explore Advanced Retrievers in Langchain: Part 1  </li><li>Video: Explore Advanced Retrievers in Langchain: Part 2  </li><li>Lab: Build a Smarter Search with LangChain Context Retrieval <a href="https://author.skills.network/labs/12046"> </a></li><li>Practice Quiz: Work with Advanced Retrievers in LangChain </li></ul><div><strong>Lesson 2: Work with Advanced Retrievers in Llama Index</strong></div><ul><li>Video: Advanced Retrievers in LlamaIndex </li><li>Lab: Explore Advanced Retrievers in LlamaIndex </li><li>Practice Quiz: Work with Advanced Retrievers in LlamaIndex </li></ul><div><strong>Lesson 3: Module Summary and Evaluation </strong></div><ul><li>Reading: Summary and Highlights: Advanced Retrievers for RAG</li><li>Reading: Cheat Sheet: Advanced Retrievers for RAG</li><li>Assessment: Graded Quiz: Advanced Retrievers for RAG</li><li>Discussion Prompt: Meet and Greet </li></ul><div><strong>Module 2: Build a Comprehensive RAG Application<br /><br />Lesson 1: Introduction to FAISS for RAG </strong></div><ul><li>Video: Introduction to FAISS and How It compares to Chroma DB </li><li>Lab: Semantic Similarity with FAISS  </li><li>Reading: Graph based indexing methods in Vector Databases</li><li>Lab: AI-Powered YouTube Summarizer, QA Tool with RAG, LangChain, FAISS</li><li>Practice Quiz: Introduction to FAISS for RAG </li></ul><div><strong>Lesson 2: Module Summary and Evaluation </strong></div><ul><li>Reading: Summary and Highlights: Build a Comprehensive RAG Application</li><li>Reading: Cheat Sheet: Build a Comprehensive RAG Application </li><li>Assessment: Graded Quiz: Build a Comprehensive RAG Application</li></ul><div><strong>Lesson 3: Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-Up </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgements</li></ul><h1>Prerequisites</h1><div>Python programming, familiarity with vector databases, and working knowledge of RAG and Similarity Search </div>
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Advanced RAG with Vector Databases and Retrievers

This course will deepen learners' understanding of vector databases, advanced retrievers, and retrieval patterns. Participants will gain hands-on experience developing a comprehensive RAG application, utilizing LangChain, FAISS, and Gradio for the front-end UI. Additionally, retrievers and retrieval patterns will be thoroughly defined and explored, with detailed explanations of their subtleties and nuances.  

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  <div>Get ready to dive into the world of project and stakeholder management and build essential skills a successful business analyst needs. <br /><br /></div><h1><strong>Course Overview</strong>  </h1><div>Effective project and stakeholder management skills are key to a business analyst’s success—helping bridge communication gaps, manage expectations, and align initiatives with business goals. This course equips both aspiring and experienced business analysts with the critical skills needed to drive a successful career. </div><div> </div><div>During this course, you’ll gain a comprehensive understanding of core project management principles and learn practical techniques for stakeholder analysis. You’ll explore critical aspects of project management such as project objectives, resource allocation, risk management, and developing effective communication strategies. </div><div> </div><div>You’ll also get industry insights from practitioners on tools and strategies for managing projects and stakeholders successfully. Plus, through hands-on labs, you’ll gain practical experience applying your new skills in real-world scenarios, culminating in a final project where you’ll manage the relaunch of an existing website. </div><div> </div><div>Enroll today and build highly sought-after skills employers look for in a good business analyst! <br /><br /><br /></div><h1>Learning Objectives</h1><ul><li>Essential, job-ready skills in project and stakeholder management employers look for in a good business analyst </li><li>Key project management concepts, including project phases, communication strategies, stakeholder engagement, and risk management </li><li>How to apply project management tools for effective project execution, risk assessment, and communication planning </li><li>How to implement communication strategies to engage stakeholders at every stage of the project lifecycle </li></ul><div> </div><h1><strong>Prerequisites  </strong></h1><div>The course is designed for aspiring and existing business analysts looking to build essential skills in project and stakeholder management. <br /><br /></div><div>No prior business analytics experience is required. Anyone who is interested in project management, business communication, stakeholder engagement, or leadership roles can take this course. </div><div> </div><div><strong>Related</strong><em> </em><strong>Professional Certificate</strong>  <br /><br /></div><div>This course is part of the following programs: </div><ul><li>IBM Systems Analyst Professional Certificate </li><li>IBM Business Analyst Professional Certificate </li><li>Business Analyst (ECBA) Certificate Preparation Specialization </li></ul><div> </div><div>If you’re an aspiring business analyst looking to strengthen your business analysis career prospects, we recommend you enroll for one of these programs and work through the courses in order. Within a short time, you’ll have job-ready skills and practical experience on your resume that will help you drive project success, deliver business value, and build lasting stakeholder relationships that boost your business analyst career! <br /><br /></div><div> </div><h1><strong>Course Syllabus</strong> </h1><div><strong>Module 0: Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: How to make the most of this course</li><li>Reading: Grading Scheme</li></ul><div><strong>Module 1: Introduction to Project Management in Business Projects</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Traditional Project Management</li><li>Video: Project management in Business Analysis Process    </li><li>Video: Expert Viewpoints: Role of a Business Analyst </li><li>Video: Project Management Phases </li><li>Video: Business-Focused Project Management Career Path</li><li>Video: Expert Viewpoints: Importance of Project Management </li><li>Reading: Overview of Key Project Management Models </li><li>Reading: Who is a Business Analysis Professional? </li><li>Practice Quiz: Introduction to Project Management in Business Projects</li><li>Reading: Module 1 Glossary</li><li>Reading: Module 1 Summary </li><li>Graded Quiz: Introduction to Project Management in Business Projects </li></ul><div><strong>Module 2: Stakeholder Analysis and Management</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Identify Stakeholders</li><li>Video: Plan Stakeholder Engagement</li><li>Reading: Working with IT Teams</li><li>Video: Stakeholder Register </li><li>Video: Expert Viewpoint: Stakeholder Identification and Management </li><li>Lab: Develop a Stakeholder Register </li><li>Reading: Stakeholder Collaboration and Needs </li><li>Video: Manage Stakeholder Engagement </li><li>Video: Monitor Stakeholder Engagement  and Ground Rules</li><li>Video: Decision Making</li><li>Video: Expert Viewpoint : Stakeholder Management Tools</li><li>Video: Demo: Team Charter</li><li>Lab: Stakeholder Engagement Plan</li><li>Practice Quiz: Stakeholder Analysis and Management</li><li>Reading: Module 2 Summary</li><li>Reading: Module 2 Glossary</li><li>Grade Quiz: Stakeholder Analysis and Management</li></ul><div><strong>Module 3: Project Planning and Execution for Business Analysts  </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Lifecycle Overview </li><li>Video: Expert Viewpoints: Lifecycle Selection </li><li>Video: Adaptive Lifecycles </li><li>Video: Project Initiation </li><li>Video: Project Planning </li><li>Video: Project Executing </li><li>Video: Project Monitoring and Controlling </li><li>Reading: Change Control Processes </li><li>Video: Scope Planning </li><li>Video: Demo: Traceability Matrix</li><li>Lab: Create a Traceabilty Matrix</li><li>Video: Schedule Planning </li><li>Lab: Build a Work Breakdown (WBS) and Network Diagram </li><li>Video: Expert Viewpoints: Project Failure </li><li>Lab: Why Projects Fail?</li><li>Video: Key Project Management Modeling Tools, Part 1 </li><li>Video: Key Project Management Modeling Tools, Part 2 </li><li>Video: Demo: Budget Planning Part 1 </li><li>Video: Demo: Budget Planning Part 2 </li><li>Practice Quiz: Project Planning and Execution for Business Analysts </li><li>Reading: Module 3 Summary</li><li>Reading: Module 3 Glossary </li><li>Grade Quiz: Project Planning and Execution for Business Analysts </li></ul><div><strong>Module 4: Communication Strategies  </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Effective Conversations </li><li>Video: Project Management Communication Skills </li><li>Video: Project Communications Overview </li><li>Video: Expert Viewpoints: Communicating Effectively for Positive results </li><li>Video: Communications Medium </li><li>Video: Managing Communications </li><li>Lab: Write a Communication for Schedule Change </li><li>Video: Key Tool – Communications Management Plan </li><li>Video: Business Analyst communication essentials </li><li>Video: Demo: Communications Management Plan </li><li>Video: Expert Viewpoints: Planning for Effective Virtual and In Person Communications </li><li>Reading: Determining Objectives and Format of Communication</li><li>Video: Effective Status Reporting </li><li>Video: Demo: Status Reporting </li><li>Lab: Develop a Project Status report. </li><li>Reading: Communicating the Appropriate Level of Detail </li><li>Practice Quiz: Communications Strategies</li><li>Reading: Module 4 Summary</li><li>Reading: Module 4 Glossary </li><li>Grade Quiz: Communication Strategies </li></ul><div><strong>Module 5 : Risk Assessment and Mitigation </strong></div><ul><li>Video: Project Risk Management Overview  </li><li>Video: Risk Defined  </li><li>Video: Risk Metalanguage  </li><li>Video: Demo: SWOT Analysis  </li><li>Lab: Perform SWOT Analysis  </li><li>Video: Expert Viewpoints: Risk Planning  </li><li>Video: Demo: Risk Register  </li><li>Video: Expert Viewpoints: Risk Management</li><li>Lab: Develop a Risk Register </li><li>Reading:  Identifying Assumptions to Manage Risks </li><li>Video: The Risk Management Plan  </li><li>Video: Responding to Risk  </li><li>Video: Expert Viewpoints: Risk Responses </li><li>Video: Demo: Risk Report </li><li>Video: Risk Reassessment (Review) </li><li>Video: Expert Viewpoints: Risk Monitoring </li><li>Video: Demo: Risk Matrix </li><li>Lab: Create a Risk Matrix </li><li>Practice Quiz: Risk Assessment and Mitigation</li><li>Reading: Module 5 Summary</li><li>Reading: Module 5 Glossary </li><li>Grade Quiz: Risk Assessment and Mitigation</li></ul><div><strong>Module 6: Final Project</strong></div><ul><li>Final Project: Final Project: Relaunching the "VitalNest Wellness" Website</li><li>Final Exam: Project and Stakeholder Management for Business Analysts</li></ul><div><strong>Course Wrap Up</strong></div><ul><li>Video: Course Wrap-Up  </li><li>Reading: Course Glossary </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li></ul><div><strong>Course Rating and Feedback</strong></div><ul><li>Course Rating and Feedback</li></ul><div><br /></div><div> </div>
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Project and Stakeholder Management for Business Analysts

Build essential project and stakeholder management skills employers look for in a business analyst who can drive business success. 

<div>&nbsp;&nbsp;</div><div>This Professional Certificate teaches you the skills you need to get your first job as an iOS or Android mobile app developer. &nbsp;</div><div>&nbsp;</div><div><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Job-ready skills in high-demand cross-platform mobile development—plus build a professional portfolio to showcase in interviews.&nbsp;</li><li>Essential UI/UX principles and full-stack tools including HTML, CSS, JavaScript, and modern frameworks.&nbsp;</li><li>How to develop native Android apps with Android Studio, Java, and Kotlin—and create polished iOS apps with Swift and Xcode.&nbsp;</li><li>How to build powerful cross-platform apps using Flutter, Dart, and React Native to reach users on any device.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>Smartphone usage is booming, with 1.5 billion more users expected by 2029 (Statista). Businesses everywhere are racing to connect with this growing audience through powerful, user-friendly mobile apps—creating strong demand for skilled developers who can build for both Android and iOS. &nbsp;</div><div>&nbsp;</div><div>Mobile app developers are creative problem solvers who collaborate with designers and stakeholders to bring ideas to life on screens everywhere. &nbsp;</div><div>&nbsp;</div><div>The IBM Mobile App Development Professional Certificate is designed to help you step confidently into this opportunity, even if you have no prior programming experience. Through a hands-on, project-based learning approach, you’ll gain practical experience designing, building, testing, and deploying real mobile apps. Each course includes labs and exercises that reinforce your skills and help you apply them to real-world scenarios. &nbsp;</div><div>&nbsp;</div><div>As you progress, you’ll develop both native apps using Android Studio, Java, Kotlin, Swift, and Xcode, and cross-platform apps using Flutter &amp; Dart and React Native &amp; JavaScript. You’ll also build a portfolio of projects—including a final Capstone—that showcases your abilities and gives you something concrete to discuss in interviews. &nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is ideal for beginners. However, to get the most from this program, you do need basic computer literacy and mathematics.&nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for mobile app developers is on a high growth trajectory. So, with the right development skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>iOS developers in the U.S. earn an average base salary of $117,644, with total compensation (including bonuses and equity) around $129,513 (builtin.com)&nbsp;</li><li>Android developers in the U.S. average a base salary of $112,876, with total compensation of $132,963 (builtin.com)&nbsp;</li><li>The U.S. Bureau of Labor Statistics projects a 17% increase in demand for software developers (including iOS) and 11–12% growth for Android developers from 2022 to 2032&nbsp; (reddit.com &amp; infotyke.com)&nbsp;</li></ul>

IBM Mobile App Developer Professional Certificate

Get job-ready as a mobile app developer – no prior experience needed! Build mobile app development skills and practical experience employers look for in just 6 months. 

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  <div>Ready to dive into the world of process modeling and requirements gathering and build essential business analysis skills businesses need? This course equips you with critical skills that provide a solid foundation for launching a career in business or systems analysis. <br /><br /></div><h1><strong>Course overview</strong>  </h1><div>Process modeling and requirements gathering are core to business analysis, providing the structure and clarity needed to understand current workflows, identify gaps, and define solutions that align with business goals.  <br /><br /></div><div>During this course, you’ll explore essential practices such as stakeholder and gap analysis, advanced process modeling with BPMN and Swimlane diagrams, and the use of tools such as Visio and Lucidchart. You’ll also learn how to manage both functional and non-functional requirements using prioritization techniques such as MoSCoW and the Kano model.  <br /><br /></div><div>Through hands-on labs and a final project, you’ll gain practical experience applying your skills in real-world scenarios. Then, in a final project, you’ll focus on designing detailed requirements for an e-bike rental startup and showcase your understanding of the six knowledge areas of the Business Analysis Body of Knowledge (BABOK) framework. <br /><br /></div><div>All the skills you gain in this course are part of the BABOK framework and provide the ideal base for you to master key tools and techniques used in the field.  <br /><br /></div><div>Enroll today and gain essential skills and knowledge you need to be a successful business or systems analyst. <br /><br /><br /></div><h1>Learning Objectives</h1><ul><li>Gain essential, job-ready skills in process modeling and requirements gathering for business analysis </li><li>Apply BABOK principles to real-world business scenarios </li><li>Master process mining methods and leverage tools for in-depth analysis and actionable insights. </li><li>Build effective system models using creating entity-relationship diagrams (ERDs), data flow diagrams (DFDs), and applying unified modeling language (UML) techniques </li></ul><div><br /></div><h1><strong>Prerequisites</strong>  </h1><div><br /></div><div>The course is designed for aspiring or practicing business or systems analysts looking to enhance their skills in business analysis, advanced process modeling, requirements elicitation, and stakeholder management. <br /><br /></div><div>It is also suitable for professionals seeking to deepen their knowledge of BABOK principles and business analysis tools, helping them align these techniques with business goals. <br /><br /></div><div>No prior business analytics experience is required. Anyone who is interested in business analysis, process modeling, and requirements management can take this course. <br /><br /></div><div><strong>Related</strong><em> </em><strong>professional certificate</strong>  <br /><br /></div><div>This course is part of multiple programs including IBM Systems Analyst Professional Certificate, IBM Business Analyst Professional Certificate, and Business Analyst (ECBA) Certificate Preparation Specialization. <br /><br /></div><div>If you’re keen to build strong foundational skills and gain proficiency in business analysis using various tools, we recommend you enroll for one of these programs and work through the courses in order. Within a short time, you’ll have job-ready skills and practical experience on your resume that will help you launch your business or systems analyst career! <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Business Analysis Overview &amp; BABOK </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Overview of Business Analysis  </li><li>Video: Day in the life of a Business Analyst </li><li>Video: Expert Viewpoints: Key Responsibilities and Tasks of Business Analysts</li><li>Video:  Popular Tools for Business Analysis</li><li>Reading: Handy Tips for Successful Career of Business Analysts</li><li>Video:  What is BABOK? </li><li>Video: Understanding BABOK </li><li>Video: BABOK: Business Analysis planning and monitoring</li><li>Video: Understanding Requirements Techniques in BABOK</li><li>Video: Expert Viewpoints: Applying BABOK in Business Analysis</li><li>Lab: Analyze Business Needs and Gaps in a Business Solution </li><li>Video: Collaboration in BABOK</li><li>Video: Strategy Analysis</li><li>Lab: Evaluate Business Solutions and Develop Recommendations  </li><li>Video: Solution Evaluation</li><li>Video: Perspectives in BABOK</li><li>Lab: Quantify and Validate Business Solution </li><li>Practice Quiz: Business Analysis Overview &amp; BABOK </li><li>Reading: Module Glossary: Business Analysis Overview and BABOK</li><li>Reading Module 1 Summary :Business Analysis Overview and BABOK</li><li>Graded Quiz: Business Analysis Overview &amp; BABOK </li></ul><div><strong>Module 2: Agile Business Analysis and Modeling Techniques </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: What is Agile Business Analysis? </li><li>Video: User Stories to capture requirements in Agile  </li><li>Video: Conducting backlog refinement  </li><li>Video: Daily Standups and Retrospectives </li><li>Video: Expert Viewpoints: Tips for Daily Standups  </li><li>Video: Sprint Planning </li><li>Reading: Introduction to SDLC</li><li>Lab: Create  user stories for login and logout for a website </li><li>Video: Introduction to Modeling  </li><li>Video: Exploring Entity Relationship Diagrams and Data flow diagrams </li><li>Video: Introduction to Unified Modeling Language (UML) </li><li>Video: Introduction to Use cases  </li><li>Video: Identify and define actors involved in use cases. </li><li>Video: Use Case Diagrams, Scenarios and Relationships </li><li>Video: Expert Viewpoints: Tips on Effective Modeling techniques </li><li>Lab: Getting started with Lucid Chart</li><li>Lab: Create a Use Case diagram </li><li>Practice Quiz: Agile Business Analysis and Modeling Techniques</li><li>Reading: Module Glossary: Agile Business Analysis and Modeling Techniques</li><li>Reading: Module 2  Summary: Agile Business Analysis and Modeling Techniques</li><li>Graded Quiz: Agile Business Analysis and Modeling Techniques </li></ul><div><strong>Module 3: Process Modeling Methodologies and Advanced Techniques </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Mapping Out Business Processes </li><li>Video: Analyzing Processes to Identify Inefficiencies. </li><li>Video: Expert Viewpoints: Approach to Process Modeling </li><li>Video: Process Optimization </li><li>Video: Implementing process automation </li><li>Video: Reengineering business processes  </li><li>Lab: Identify Inefficiencies and Improvement Opportunities in an Existing Process</li><li>Video: Creating process maps and flowcharts. </li><li>Video: Utilizing key process modeling notations  </li><li>Video: Process Mapping Techniques for Complex Processes</li><li>Video: Advanced BPMN techniques and swimlane diagrams  </li><li>Video: Choosing the right process modeling tools  </li><li>Video: Expert Viewpoints: Tips on Effective Process Optimization, Automation &amp; Documentation </li><li>Lab: Create a Flowchart for Order Management</li><li>Practice Quiz: Process Modeling tools and Techniques </li><li>Reading: Module Glossary: Process Modeling Methodologies and Advanced Techniques</li><li>Reading: Module 3 Summary: Process Modeling Methodologies and Advanced Techniques</li><li>Graded Quiz: Process Modeling Methodologies and Advanced Techniques</li></ul><div><strong>Module 4: Requirements Management and Elicitation Techniques</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Introduction to Systems Analysis for Business Analysts</li><li>Video: Understanding different types of requirements  </li><li>Video: Identifying stakeholders for requirement gathering </li><li>Video: Requirements elicitation and documentation Best Practices </li><li>Video: Employing techniques for requirements prioritization </li><li>Video: Traceability tools for requirements </li><li>Video: Expert Viewpoints: Experience with Requirements Management &amp; Elicitation</li><li>Lab: Identify and Categorize Stakeholders </li><li>Video: Interviews: Conduct effective interviews to gather business requirements. </li><li>Video: Workshops: Facilitate workshops to elicit and validate requirements. </li><li>Video: Expert Viewpoints: Tips for Preparing Interview Questions &amp; Engaging Stakeholders </li><li>Video: Observation Techniques to Understand Business Processes</li><li>Video: Designing and Distributing Surveys to Collect Stakeholder Input </li><li>Video: Developing and Using Prototypes to Refine Requirements. </li><li>Reading: Sample Customer Feedback Survey</li><li>Lab: Create an interview guide with key questions </li><li>Practice Quiz: Requirements Management and Elicitation Techniques</li><li>Reading: Module Glossary: Requirements Management and Elicitation Techniques</li><li>Reading: Module 4 Summary: Requirements Management and Elicitation Techniques</li><li>Graded Quiz: Requirements Management and Elicitation Techniques </li></ul><div><strong>Module 5 : Final Project</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Project: Business Analysis and Modeling for an eBike Rental Startup</li><li>Final Graded Quiz: Final Exam</li></ul><div><strong>Course Wrap Up</strong></div><ul><li>Video: Course Wrap-Up</li><li>Reading: Course Glossary</li><li>Reading: Congrats &amp; Next Steps </li><li>Reading: Thanks from the Course Team </li></ul>
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Process Modeling & Requirements for Business Analysis

Build essential process modeling and requirements gathering skills businesses look for in a business or systems analyst. 

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  <div>Ready to take the final steps to prepare for the IIBA-ECBA exam? The Entry Certificate in Business Analysis (ECBA) is a worldwide, industry-recognized certification that opens doors to a career in business analysis. IIBA certificated professionals, including ECBA, earn up to 16% more (IIBA report). This course helps you to comprehensively prepare for the ECBA exam so you're ready to take the exam with confidence. <br /><br /></div><h1><strong>Course Overview</strong>   </h1><div>In this course, you'll get a comprehensive overview of the IIBA-ECBA certification process—including eligibility, application steps, exam structure, costs, and key knowledge areas tested. You'll explore the core domains of the ECBA exam, learn effective test-taking strategies, and understand the certification's value in building your career. </div><div> </div><div>The course wraps up with valuable exam preparation, including a practice test that helps you identify the sections you still need to brush up on, and then a full-length, 50-question mock exam that simulates the actual ECBA test environment. </div><div> </div><div>If you're ready to kickstart your career in business analysis, enroll today and prepare to take the ECBA certification exam so you can add a key qualification to your resume that employers look for. </div><h1><br />Learning Objectives</h1><ul><li>Prepare for the IIBA-ECBA certification exam and learn about the experience requirements and registration and exam process </li><li>Review the nine domains of the IIBA-ECBA exam, including the weightage for each domain </li><li>Access extra study resources and get tips and strategies for taking the exam </li><li>Complete practice questions and a mock exam that simulates the real ECBA test environment </li></ul><h1><strong>Prerequisites</strong>  </h1><div>This course is ideal for anyone ready to prepare for the IIBA-ECBA certification. </div><div> </div><div>Proficiency in the knowledge areas covered as part of the IIBA-ECBA exam is therefore recommended. </div><div> </div><h1><strong>Related</strong><em> </em><strong>Professional Certificate</strong>  </h1><div>This course is part of the following two programs: </div><ul><li>IBM Business Analyst Professional Certificate </li><li>Business Analyst (ECBA) Certificate Preparation Specialization </li></ul><div><br /></div><div>If you're looking to build essential business analysis skills, gain hands-on experience with key tools, and prepare for the IIBA-ECBA exam, we recommend you enroll for the specialization of your choice and work through the courses in order. Within a short time, you'll have job-ready skills, practical experience, and hopefully industry-recognized certifications on your resume that will launch your business analysis career!  </div><div> </div><h1>Course Syllabus</h1><div><strong>Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: How to make the most of this course</li><li>Reading: Grading Scheme</li></ul><div><strong>Module 1: IIBA-ECBA Certification Test Overview</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Overview of ECBA Certification </li><li>Video: ECBA Test- Taking Strategies </li><li>Reading: Key References for ECBA </li><li>Reading:  Other Certifications for Business Analysts </li><li>Video: The IIBA-ECBA Exam Blueprint </li><li>Reading:  ECBA Exam Blueprint </li><li>Reading: Business Analysis Knowledge Overview </li><li>Reading: IIBA-ECBA Cheat Sheet</li><li>Practice Quiz: IIBA-ECBA Certification Test Overview</li><li>Module Glossary: IIBA-ECBA Certification Test Overview</li><li>Module 1 Summary: IIBA-ECBA Certification Test Overview</li></ul><div><strong>Module 2: IIBA-ECBA Practice and Graded Mock Test</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Practice Quiz: Practice Test </li><li>Reading: Mock Test Overview</li><li>Graded Quiz: Mock Test for IIBA-ECBA Certification: </li><li>Course Wrap Up</li><li>Reading: Course Summary: Preparation Exam for ECBA Certification</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Thanks from the Course Team</li></ul>
</div>


Practice Exam for ECBA Certification

Prepare for the industry-recognized IIBA-ECBA exam and get ready to launch your business analytics career! 

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  <div>Explain to a potential learner why this course is important/interesting and what they can gain from taking your course.<br /><br /></div><h1>Course Syllabus</h1><div>Tell your audience what they can expect to learn. Better yet, tell them what they will be able to do as a result of completing your course:<br />Module 1</div><ul><li>Topic 1</li><li>Topic 2</li></ul><div>Module 2</div><ul><li>Topic 1</li><li>Topic 2</li></ul><div><br /></div><h1>General Information</h1><div>This is your place to add any additional information about your course. Feel free to mention the assessment style, a recommended timeline of events, or any other important information that a learner should know.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Social Media Marketing

You’ll learn to plan, create, manage, and analyze content on key platforms like Instagram, Facebook, LinkedIn, X, and TikTok. You’ll explore organic social media, how to build brand-aligned strategies, and growth hacking techniques to expand your reach. You’ll learn to craft effective posts using text, images, videos, stories, and user-generated content (UGC), with tools like Canva and inVideo. Also, learn how to write compelling captions and schedule posts for maximum impact. 

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  <div>Ready to build intelligent AI agents that can reason, improve, and collaborate? This hands-on course gives you the skills to build agentic AI systems using LangChain and LangGraph in just 3 weeks.  <br /><br />You’ll design stateful workflows that support memory, iteration, and conditional logic. You’ll explore how to build self-improving agents using Reflection, Reflexion, and ReAct architectures, empowering your agents to reason about their outputs and refine them over time. Plus, you’ll work on guided labs where you’ll structure agent feedback, integrate external data, and generate context-aware responses through step-by-step reasoning.  <br /><br />You’ll then develop collaborative multi-agent systems that coordinate tasks, retrieve relevant data, and solve complex problems using agentic RAG. Plus, you'll gain experience in agent orchestration, query routing, and governance strategies for building robust, scalable AI applications.  <br /><br />By the end of the course, you’ll have built working prototypes of agentic systems and gained hands-on skills to design reliable, adaptable agents. Enroll today and get ready to power up your portfolio!<br /><br /></div><h1>Learning Objectives: </h1><ul><li>Build agentic AI systems using LangChain and LangGraph to support memory, iteration, and conditional control </li><li>Design and implement self-improving agents using Reflection, Reflexion, and ReAct architectures </li><li>Apply agent orchestration techniques to build collaborative multi-agent systems </li><li>Develop agentic RAG systems that route queries and support retrieval-enhanced reasoning </li></ul><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to LangGraph</strong> </div><ul><li>Lesson 0: Welcome</li><li>Lesson 1: Introduction to Agentic AI </li><li>Lesson 2: LangGraph versus LangChain</li><li>Lesson 3: Build a LangGraph Workflow</li><li>Lesson 4: Module Summary and Evaluation</li></ul><div><strong>Module 2: Build Self-Improving Agents with LangGraph</strong></div><ul><li>Lesson 1: Build Reflection Agents </li><li>Lesson 2: Advanced Self-Improvement with Reflexion Agents </li><li>Lesson 3: ReAct: Integrating Reasoning and Action</li><li>Lesson 4: Module Summary and Evaluation </li></ul><div><strong>Module 3: Multi-Agent Systems and Agentic RAG with LangGraph</strong> </div><ul><li>Lesson 1: The Evolution from Single to Multiagent Systems</li><li>Lesson 2: Build Multi-Agent Applications</li><li>Lesson 3: Module Summary and Evaluation </li><li>Lesson 4: Course Wrap-Up</li></ul><div><br /></div><h1><strong>Prerequisites</strong></h1><div>Python programming skills, basic understanding of LangChain, and familiarity with core AI concepts <br /><br /></div><div><strong><br /></strong><br /></div>
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Agentic AI with LangChain and LangGraph

Build intelligent AI agents that can reason, improve, and collaborate. This hands-on course gives you the skills to build agentic AI systems using LangChain and LangGraph in just 3 weeks.  

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  <div>Get ready to begin your journey into the highly rewarding field of business analysis! During this course, you’ll build the foundational skills and knowledge you need for future success. <br /><br /></div><h1><strong>Course Overview  </strong></h1><div>Business analysis ranks among the top 10 in-demand skills globally (LinkedIn), as companies seek professionals who can drive digital transformation and data-driven decision-making. If you're looking to start a career in business analysis, this course is the perfect place to begin.  <br /><br />You'll learn the core principles of business analysis and gain a clear understanding of its role within organizations, including the key responsibilities, essential skills, and certifications needed to succeed in the field. Plus, you'll discover the potential career paths and growth opportunities that are available for aspiring business analysts.  <br /><br />Through real-world examples from multiple industries, you'll explore practical applications such as gap analysis and gain hands-on experience with widely used business analysis tools. You'll also examine how digital transformation is reshaping the field, including digital strategy, technology evaluation, and the use of AI to enhance business analysis practices.  <br /><br />With a blend of theory, interactive activities, and labs, this course equips you with the foundational knowledge and practical insights you need to move forward on your business analysis journey.  <br /><br />Enroll now and gain the essential skills and knowledge you need to move forward with confidence in the rewarding field of business analysis.  <br /><br /></div><h1>Learning Objectives</h1><ul><li>Fundamental business analysis skills that provide the ideal foundation for your career as a business analyst, aligned with the BABOK Guide  </li><li>Hands-on practical skills to prepare for the ECBA certification recognized by employers  </li><li>Key strategies and methods for process modeling, requirements gathering, stakeholder engagement, and project management  </li><li>Core concepts, tools, and techniques for systems analysis, data analysis, and data visualization  </li></ul><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Basics of Business Analysis </strong></div><ul><li>Video: Introduction to Business Analysis </li><li>Video: Expert Viewpoints: Role of Business Analysis in Enterprises </li><li>Video: Evolution and Importance of Business Analysis </li><li>Video: Introduction to domains in Business Analysis </li><li>Activity: Aligning Business and Solution Domains in Organizations </li><li>Video: Responsibilities of a Business Analyst </li><li>Video: Skills required for a Business Analyst </li><li>Video: Expert Viewpoints: Most important skills for Business Analyst </li><li>[Optional] Reading: Overview of BABOK </li><li>Video: Career prospects &amp; Career Paths of Business Analysts </li><li>Video: How to become a Business Analyst? </li><li>Video: Expert Viewpoints: Career journey in Business Analysis </li><li>Activity: Unlock your Potential as a Business Analyst</li><li>Practice Quiz: Basics of Business Analysis</li><li>Module 1 Summary: Basics of Business Analysis</li><li>Graded Quiz:  Basics of Business Analysis</li></ul><div><strong>Module 2: Business Analysis Process</strong></div><ul><li>Video: Steps in the Business Analysis Process </li><li>Video: Expert Viewpoints: Business Analysis process in companies </li><li>Video: Introduction to Requirement Gathering </li><li>Activity: Requirement Gathering </li><li>Video: Popular Tools in Business Analysis   </li><li>Video: Expert Viewpoints: Business Analysis Tools in Day-to-Day Life </li><li>Video: Features of Common Business Analysis Tools</li><li>Video: Expert Viewpoints: Usage of tools for Business Analysis  </li><li>Video: Overview of Techniques in Business Analysis  </li><li>Video: Expert Viewpoints: Usage of techniques for Business Analysis  </li><li>Lab: Using Tools for Documenting Requirements </li><li>Practice Quiz: Business Analysis Process  </li><li>Module 2 Summary:  Business Analysis Process </li><li>Graded Quiz: Business Analysis Process </li></ul><div><strong>Module 3: Business Analysis Practical Applications</strong></div><ul><li>Video: Business Analysis in different industries </li><li>Video: Application of Business Analysis in Different Industries </li><li>Video: Performing Effective Gap Analysis</li><li>Lab:  Visualizing and Improving a Business Process </li><li>Video: Expert Viewpoints: Usage of tools for Business Analysis in day-to-day work </li><li>Lab: Creating a business analysis matrix</li><li>Video: Digital Strategy and Transformation  </li><li>Video: Expert Viewpoints: Digital Transformation journey </li><li>Video: Technology assessment for Digital Transformation </li><li>Video: Expert Viewpoints: Importance of Technology assessment </li><li>Lab: Evaluate Digital Transformation Scenarios</li><li>Video: AI in Business Analysis  </li><li>Video: Expert Viewpoints: Leveraging AI in real life business analysis </li><li>Practice Quiz: Business Analysis Practical Applications</li><li>Module 3 Summary: Business Analysis Practical Applications</li><li>Graded Quiz: Business Analysis Practical Applications</li></ul><div><strong>Module 4: Final Project and Exam</strong></div><ul><li>Project: Streamlining Hospital Operations through Business Analysis</li><li>Final Quiz: Business Analysis Fundamentals</li></ul><div><br /></div><h1>Prerequisites</h1><div>The course is designed for aspiring business analysts looking to take their first steps into the domain. It is also suitable for current professionals seeking to sharpen and expand their skills.  <br /><br />No prior business analytics experience is required to take this course. A basic understanding of computers and familiarity with the MS Office suite is recommended.  </div><div><br /></div><h1>Related Professional Certificate  </h1><div>This course is part of the IBM Business Analyst Professional Certificate. If you're keen to build strong foundational skills and gain proficiency in business analysis using various tools, we recommend you enroll for the full program and work through the courses in order. Within a short time, you'll have job-ready skills and practical experience on your resume that will help you launch your business analyst career! </div><div><br /></div>
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Business Analysis Fundamentals

Kickstart your business analysis journey building the fundamental skills companies need to drive digital transformation, inform decisions, and deliver business value. 

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  <div>Ideal for professionals completing the IBM Data Management Professional Certificate, this course puts your knowledge into action through a practical, portfolio-worthy capstone project. Great for talking about in interviews! <br /><br /></div><div><strong><em>You will:</em></strong> </div><ul><li>Apply your data management skills across diverse data-related roles in a real-world business scenario.  </li><li>Gain hands-on experience using industry-standard data tools such as Excel, SQL, PostgreSQL, Tableau, etc  </li><li>Implement best practices and methodologies using industry-standard processes, data design, governance, security, and reporting. </li><li>Showcase your problem-solving capabilities related to working with data that you can share with colleagues and prospective employers.  </li></ul><div><strong>Course Syllabus:<br /></strong><br /></div><div><strong>Welcome to the Course</strong></div><ul><li><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Data Platform Architecture </li><li>Reading: Helpful Tips for Course Completion</li></ul></li></ul><div><strong><br />Module 1: Introduction and Data Preparation and Exploratory Analysis with Excel</strong></div><ul><li><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Assignment Overview: Data Cleaning &amp; Transformation Using Excel </li><li>Dataset Description</li><li>Lab 1: Data Cleaning &amp; Transformation </li><li>Assignment Overview: Data Visualization Using Excel</li><li>Lab 2: Data Visualization Using Excel</li><li>Summary: Introduction and Data Preparation and Exploratory Analysis with Excel</li><li>Checklist: Introduction and Data Preparation and Exploratory Analysis with Excel</li><li>Graded Quiz: Introduction and Data Preparation and Exploratory Analysis with Excel</li></ul></li></ul><div><strong>Module 2: Data Setup Using Relational Database (OLTP)</strong></div><ul><li><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Assignment Overview: Data Setup Using Relational Database</li><li>Lab 3: Data Setup Using Relational Database</li><li>Assignment Overview: Data Analysis with SQL</li><li>Lab 4: Data Analysis with SQL</li><li>Summary: Data Setup Using Relational Database (OLTP)</li><li>Checklist:  Data Setup Using Relational Database (OLTP)</li><li>Graded Quiz:  Data Setup Using Relational Database (OLTP)</li></ul></li></ul><div><strong>Module 3: Data Warehouse</strong></div><ul><li><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Assignment Overview: Data Warehouse Design &amp; Setup</li><li>Lab 5: Data Warehouse Design &amp; Setup</li><li>Assignment Overview : Data Warehouse Analysis with SQL </li><li>Lab 6: Data Warehouse Analysis with SQL</li><li>Summary: Data Warehouse</li><li>Checklist: Data Warehouse</li><li>Graded Assignment: Data Warehouse</li></ul></li></ul><div><strong>Module 4: Data Privacy, Security, Governance, Risk, and Compliance</strong></div><ul><li><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Assignment Overview: Assignment Overview: Data Integration, Governance and Security Implementation for FinPro Bank</li><li>Recommendations on Integration, Governance and Compliance</li><li>Practice Quiz: Data Privacy, Security, Governance, Risk, and Compliance</li><li>Assignment Overview: Data Privacy, Security, Encryption, and Role-Based Access</li><li>Lab 7: Implementing Data Privacy, Security, Encryption, and Role-Based Access using MySQL</li><li>Summary: Data Privacy, Security, Governance, Risk, and Compliance</li><li>Checklist: Data Privacy, Security, Governance, Risk, and Compliance</li><li>Graded Quiz: Data Privacy, Security, Governance, Risk, and Compliance</li></ul></li></ul><div><strong>Module 5: Data Vizualization and Dashboard</strong></div><ul><li><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Assignment Overview: Business Intelligence Using Tableau </li><li>Lab 8: Business Intelligence Using Tableau</li><li>Assignment Overview: Story Dashboard </li><li>Lab 9: Story Dashboard</li><li>Summary: Data Vizualization and Dashboard</li><li>Checklist: Data Vizualization and Dashboard</li><li>Graded Quiz: Data Vizualization and Dashboard</li></ul></li></ul><div><strong>Module 6: Final Submission &amp; Peer Review</strong></div><ul><li><ul><li>Video: Structure of a Presentation</li><li>Best Practices for Presenting Your Findings</li><li>[Optional] Hands-on Lab: Getting started with PowerPoint for the web</li><li>[Optional] Hands-on Lab: Save Your PowerPoint Presentation as a PDF</li><li>Final Project Instructions</li><li>Submit your work and review your Peers</li></ul></li></ul><div><strong>Module 7: Your Personal Portfolio and Job Search Guidance </strong></div><ul><li><ul><li>Reading: Guide to developing a Personal Portfolio </li><li>Video: Resume &amp; Job Search Tips </li><li>Video: Interview Preparation </li></ul></li></ul><div><strong>Module 8: Course Wrap Up</strong></div><ul><li><ul><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li><li>Module 9: Course Rating and Feedback</li><li>Reading: Course Rating and Feedback</li></ul></li></ul><div><strong>Module 10: Badge</strong></div><ul><li><ul><li>How to claim your certificate</li><li>Claim your badge here</li></ul></li></ul><div><br /></div><div><strong>Course Overview</strong>  <br /><br /></div><div>During the course, you’ll use many industry-specific tools and apply standard best practices in a simulated real-world business scenario. As part of this process, you’ll prepare data for visualization, set up a relational database, and design and implement a data warehouse. You’ll also implement data integration, data governance, and data security measures. Then, finally, you’ll create visualizations and a dashboard to communicate your data insights.  <br /><br /></div><div>Enroll now to gain demonstrable hands-on experience employers value in a capstone project you can showcase in your portfolio.  <br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Data Management: Capstone Project

Complete a portfolio-worthy capstone project that showcases your data management skills to prospective employers. 

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  <div>Ready to kickstart your Java development journey with the essential skills businesses need? This beginner-friendly course builds your foundational skills in Java programming, tools, and core concepts, setting you up for success in more advanced training and future job roles. </div><div> </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Build a strong foundation in Java programming to confidently progress toward advanced, job-ready development skills. </li><li>Set up professional Java development environments using JDK, JRE, and IDEs, a key skill for workplace productivity and debugging. </li><li>Apply core Java concepts like data types, control flows, arrays, and strings to write clean, efficient code used in real-world applications. </li><li>Use exception handling with try-catch and identify exception types, vital for building reliable, production-grade Java applications. </li></ul><div> </div><div><strong>Course Overview</strong> <br /><br /></div><div>Over 90% of Fortune 500 companies use Java, and entry-level Java developers can earn over $100,000 per year (Netguru). This beginner-friendly course helps you build foundational Java skills from scratch, and is ideal for aspiring developers, career switchers, or anyone looking to add a powerful, versatile language to their resume in just 4–5 weeks. </div><div> </div><div>During the course, you’ll gain essential skills for tasks like writing clean code, managing control flow, debugging, and working with integrated development environments (IDEs). You’ll learn how to set up the Java environment with JDK, JRE, and an IDE. Plus, you’ll explore core concepts like data types, variables, operators, conditionals, loops, arrays, strings, methods, and exception handling to create efficient, functional programs. </div><div> </div><div>Through labs and coding exercises, you’ll get hands-on experience applying what you learn in real time. Then, in a final project that simulates a real-world Java development scenario, you’ll pull all your knowledge and skills together. </div><div> </div><div>By the end, you’ll be able to write Java programs confidently and showcase your essential Java programming skills to employers. Enroll now and launch your Java development journey with IBM. </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>This course is designed for beginners who have a background in programming and software development concepts and now want to build a strong foundation in Java. No prior experience with Java is required, but familiarity with basic coding principles and problem-solving will help you get the most out of the course. </div><div> </div><div><strong>Related Professional Certificate</strong> </div><div> </div><div>This course is part of the <strong>IBM Java Developer Professional Certificate</strong>. If you’re looking to build job-ready skills in Java development, we recommend you enroll in the full Professional Certificate program and work through the courses in order.  Within a short period, you’ll gain hands-on experience in deploying Java applications using industry-standard practices, design patterns, and cloud-native technologies. </div><div> </div><div><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li></ul><div> </div><div><strong>Module 1: Introduction to Java Environment and Ecosystem</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Java: Its History and Evolution </li><li>Using the Java Ecosystem </li><li>The Java Virtual Machine, Development Kit, and Runtime Environment Explained </li><li>Installing and Running Your First Java Program </li><li>Using Key Java Features </li><li>Commercial and Open Source Java Compared </li><li>Practice Quiz: Introduction to Java Environment and Ecosystem </li><li>Module 1 Summary: Introduction to Java Environment and Ecosystem </li><li>Module 1 Glossary: Introduction to Java Environment and Ecosystem </li><li>Module 1 Coding Cheat Sheet: Introduction to Java Environment and Ecosystem </li><li>Module 1 Graded Quiz: Introduction to Java Environment and Ecosystem </li></ul><div> </div><div><strong>Module 2: Basic Programming Constructs in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>Structuring Java Code and Comments </li><li>Exploring Data Types in Java </li><li>Explore Data Types </li><li>Introduction to Operators in Java </li><li>Using Advanced Operators in Java </li><li>Lab: Using Operators </li><li>Working with Arrays </li><li>Practice Quiz: Basic Programming Constructs in Java </li><li>Module 2 Summary: Basic Programming Constructs in Java </li><li>Module 2 Glossary: Basic Programming Constructs in Java </li><li>Module 2 Coding Cheat Sheet: Basic Programming Constructs in Java </li><li>Module 2 Graded Quiz: Basic Programming Constructs in Java </li></ul><div> </div><div><strong>Module 3: Control Structures and String Handling</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>Using Conditional Statements </li><li>Introduction to Loops in Java </li><li>Array Manipulation and For Loops </li><li>Working with Strings in Java </li><li>Working with Strings </li><li>Using Packages and Imports </li><li>Implementing Functions and Methods </li><li>Create Custom Functions and Methods </li><li>Practice Quiz: Control Structures and String Handling </li><li>Module 3 Summary: Control Structures and String Handling </li><li>Module 3 Glossary: Control Structures and String Handling </li><li>Module 3 Coding Cheat Sheet: Control Structures and String Handling </li><li>Module 3 Graded Quiz: Control Structures and String Handling </li></ul><div> </div><div><strong>Module 4: Robust Exception Handling</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Exceptions </li><li>Using Finally Block </li><li>Using Multiple Try Catch </li><li>Exception Handling Practice </li><li>Checked and Runtime Exceptions Compared </li><li>Practice Quiz: Robust Exception Handling </li><li>Module 4 Summary: Robust Exception Handling </li><li>Module 4 Glossary: Robust Exception Handling </li><li>Module 4 Coding Cheat Sheet: Robust Exception Handling </li><li>Module 4 Graded Quiz: Robust Exception Handling </li></ul><div> </div><div><strong>Module 5: Final Project and Final Exam</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Final Project Overview </li><li>Final Project  </li><li>Final Project Environment </li><li>Final Exam: Java Programming: The Fundamentals </li></ul><div> </div><div><strong>Module 6: Course Wrap-Up </strong> </div><ul><li>Video: Course Wrap-Up  </li><li>Reading: Course Glossary  </li><li>Reading: Course Coding Cheat Sheet </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Copyrights and Trademarks </li></ul><div> </div><div><strong>Course Rating and Feedback</strong> </div><ul><li>Course Rating and Feedback</li></ul>
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Java Programming: The Fundamentals

Learn Java programming basics with hands-on projects. Master JDK setup, data types, control flow, and methods & build foundational Java skills in just 4 weeks.

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  <div>Ready to apply your advanced data architecture skills to a real-world business challenge? During this capstone course, you’ll design and implement enterprise data systems and gain demonstrable hands-on experience in architecture evaluation, data integration, and governance that you can showcase in your portfolio and talk about in interviews. </div><div> </div><div><strong><em>In this capstone project, you will:</em></strong> </div><div> </div><ul><li>Build a portfolio-ready data architecture solution that demonstrates your ability to solve real-world business challenges using advanced design principles. </li><li>Evaluate and align data architectures with business goals, a key skill for roles involving enterprise data strategy and decision support. </li><li>Design and implement scalable data pipelines for seamless migration and integration, crucial for engineering modern data platforms. </li><li>Apply robust data governance and security frameworks to ensure compliance and protect sensitive enterprise data. </li></ul><div><strong>Course Overview</strong> </div><div>Ideal for professionals completing the Data Architecture Professional Certificate, this capstone course puts your knowledge into action through a practical, end-to-end case study where you’ll evaluate, design, migrate, and integrate enterprise data systems for a simulated company merger.  </div><div> </div><div>The project begins with analyzing and comparing the data architectures of two organizations, identifying strengths, weaknesses, and areas for improvement. </div><div> </div><div>Based on this analysis, you’ll design a unified, scalable architecture aligned with business objectives. You’ll work with both RDBMS and NoSQL systems, build ETL pipelines to enable seamless data flow, and implement a data governance plan that ensures regulatory compliance and robust data protection. </div><div> </div><div>This scenario-based project gives you a compelling, portfolio-ready example of leading system transitions and implementing enterprise-level architectures, ideal for discussing in interviews. </div><div> </div><div>Ready to stand out with demonstrable data architecture experience? Enroll now and bring your skills to life. </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>This advanced course is intended for learners who have completed the preceding courses in <strong>the IBM Data Architecture Professional Certificate</strong>. Learners should be familiar with the following concepts and tools before proceeding with the capstone project: </div><ul><li>Enterprise Data Architecture (EDA) </li><li>SQL querying and RDBMS </li><li>ETL pipeline development using Airflow and Shell scripting </li><li>Data migration and integration </li><li>Big data tools like Apache Spark and Hadoop </li><li>NoSQL databases </li><li>Linux command-line </li><li>Data governance </li><li>Database administration fundamentals </li><li>Data modeling </li></ul><div><strong>Related Professional Certificate</strong> </div><div> </div><div>This course is part of the <strong>IBM Data Architecture Professional Certificate</strong>. If you’re looking to build real-world skills in data modeling, integration, and enterprise data systems, we recommend enrolling in the full program and completing the courses in sequence. In just a few months, you’ll gain job-ready experience, build a portfolio of projects, and earn a certificate to help you stand out to employers. </div><div> </div><div><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome to the Course</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives &amp; Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Introduction &amp; Evaluating Enterprise Data Architecture</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Project Case Study </li><li>Reading: Case Studies for Data Architectures </li><li>Reading: Assignment Overview: Evaluate Existing Enterprise Data Architecture </li><li>Lab: Evaluate Existing EDA of the Companies </li><li>Checklist: Evaluate Existing EDA of the Companies </li><li>Graded Quiz: Introduction &amp; Evaluating Enterprise Data Architecture </li></ul><div><strong>Module 2: Designing the Data Architecture for an Enterprise</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Design the Data Architecture </li><li>Lab: Design the Data Architecture for the Merged Entity </li><li>Checklist: Design the Data Architecture of a Merged Entity </li><li>Graded Quiz: Designing the Data Architecture for an Enterprise </li></ul><div><strong>Module 3: Data Migration in an Enterprise</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Data Migration to New Architecture  </li><li>Lab: Migrate Data to New Architecture </li><li>Checklist: Migrate Data to New Architecture </li><li>Graded Quiz: Data Migration in an Enterprise </li></ul><div><strong>Module 4: Data Integration and Related Techniques</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Data Integration </li><li>Lab: Integration, ETL, and Backup Operations </li><li>Checklist: Data Integration  </li><li>Graded Quiz: Data Integration and Related Techniques </li></ul><div><strong>Module 5: Data Governance for an Enterprise</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Data Governance </li><li>Reading: Case Study: Cost of a Data Breach </li><li>Lab: Create the Draft Data Governance Plan for TrendyMart </li><li>Checklist: Data Governance </li><li>Graded Quiz: Data Governance for an Enterprise </li></ul><div><strong>Module 6: Final Project and Submission</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Final Project: Data Architecture Redesign for Company Acquisition </li></ul><div><strong>Module 7: Course Wrap-Up</strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li></ul><div><strong>Module 8: Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li></ul>
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Data Architecture: Capstone Project

Design and integrate enterprise data systems using RDBMS, NoSQL, ETL pipelines, and data governance in this portfolio-worthy capstone project. 

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  <div>Get exam-ready for gaining CompTIA Data+ certification with this hands-on practice exam course. Strengthen your analytical thinking, validate your skills, and build your confidence in a realistic exam simulation. </div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Assess your readiness for the CompTIA Data+ certification exam through practice quizzes and a timed mock exam. </li><li>Apply data mining, basic statistical methods, and governance principles to real-world scenarios. </li><li>Strengthen data analysis and visualization skills that are essential for roles in analytics and business intelligence. </li><li>Develop strategic exam-taking techniques and time management methods to succeed under pressure. </li><li><br /></li><li><strong>Course Overview</strong> <br /> <br />Employers increasingly seek candidates who can manage, interpret, and visualize data to support business decisions. The <strong>CompTIA Data+ </strong>certification is an industry-recognized validation of these skills—making it an ideal goal for aspiring analysts and data professionals. This course helps early-career data professionals, business intelligence practitioners, IT professionals, and those transitioning into data roles prepare for this in-demand certification exam. <br />You’ll begin with an overview of the CompTIA Data+ certification process, including eligibility criteria, domain objectives, and how the exam is structured. You’ll also explore strategies for studying, managing your time, and preparing your mindset. Next, you’ll take two ungraded practice exams designed to mimic real exam questions and test your understanding across data mining, statistical methods, and governance domains. </li><li>The course culminates in a <strong>graded mock exam</strong> that mirrors the actual CompTIA Data+ certification experience, both in format and timing. By completing this simulated exam, you’ll gain practical experience under timed conditions and receive feedback on areas where additional review may be needed. </li><li>Whether you’re pursuing the certification to improve your resume, validate your skills, or open new career opportunities, this course will help you build confidence and maximize your exam performance. <br /> <br /><strong>Prerequisites</strong> <br /> <br />This is an <strong>advanced-level</strong> course and assumes that you have some prior experience with data. Recommended background includes working in a reporting or business analyst role, basic familiarity with tools like Excel, Power BI, Tableau, or SQL, and a foundational understanding of statistics (mean, median, correlation, etc.). <br /> <br /><strong>Related Professional Certificate</strong> <br /> <br />This course is part of the <strong>IBM Data Management Professional Certificate</strong>. If you’re looking to establish a career in data analysis, data governance, or business intelligence, we recommend enrolling in the full certificate program. In a matter of months, you’ll acquire job-ready skills and hands-on experience, boosting your confidence and employability in today’s data-driven job market. <br /> <br /><strong>Course Syllabus</strong> <br /><strong>Welcome Module</strong> <ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: How to Make the Most of This Course </li><li>Reading: Grading Scheme </li></ul></li><li><strong>Module 1: Eligibility, the Signup Process, and Exam Overview</strong> <ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: CompTIA Data+ Overview </li><li>Reading: CompTIA Data+ Certification Domains </li><li>Video: Exam Taking Strategies </li><li>Reading: Exam Preparation: Study Resources </li><li>Reading: Cheat Sheet for CompTIA Data+ </li><li>Reading: Overview of Practice Exams </li><li>Practice Quiz: Practice Exam A (20 Questions) </li><li>Practice Quiz: Practice Exam B (20 Questions) </li></ul></li><li><strong>Module 2: CompTIA Data+ Certification Test Simulation</strong> <ul><li>Reading: Module Introduction and Learning Objectives </li><li>Graded Assignment: <strong>CompTIA Data+ Mock Examination (120 min)</strong> </li></ul></li><li><strong>Course Wrap-Up</strong> <ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li><li>Reading: Course Rating and Feedback </li></ul></li></ul>
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Practice Exam for CompTIA Data+ Certification

Prepare for the CompTIA Data+ certification exam with practice quizzes, a timed mock exam, and proven strategies to boost confidence and test-day performance. 

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  <div>Safeguarding data is critical to every organization in today’s digital landscape. Designed for aspiring data professionals, analysts, system architects, and IT managers, this course gives you the practical knowledge to manage privacy, establish governance frameworks, and meet risk and compliance standards that businesses need. <br /><br /></div><div><strong>You will learn:</strong> </div><ul><li>Design and implement secure data strategies to protect sensitive information and reduce organizational risk. </li><li>Apply data privacy, encryption, and access control techniques to meet security and compliance standards. </li><li>Understand the role of data governance and architecture in building accountable, scalable data systems. </li><li>Identify, assess, and manage data-related risks while aligning with global regulatory requirements. </li><li><br /></li><li><strong>Course Overview</strong> <br /> <br />In this course, you’ll develop the skills required to manage sensitive data, implement access control policies, mitigate risks, and stay compliant with global standards like GDPR, HIPAA, and CCPA.  <br /><br />You’ll begin by exploring the principles of <strong>data privacy and security</strong>, including looking at real-world breaches and best practices for implementing encryption, user access controls, and secure data systems. Next, you’ll dive into <strong>data architecture and governance</strong>—learning how to design robust data frameworks, define governance roles, and align data practices with business objectives.  <br /><br />The final modules cover <strong>risk management</strong> and <strong>compliance regulations</strong>, where you’ll evaluate risks, prioritize mitigation strategies, and study regulatory frameworks through expert-led content and industry examples. You’ll wrap up the course with a <strong>real-world capstone project</strong>, simulating the design of a secure, compliant data management system for a fictional healthcare company.  <br /><br />Whether you work in data management, analytics, security, or compliance, this course equips you with in-demand skills that strengthen your career prospects and your organization’s data practices. <br /><br /><strong>Prerequisites</strong> <br /> <br />This is an <strong>intermediate-level</strong> course. To get the most from this course, you need to have a basic understanding of data management or IT systems. Additionally, familiarity with concepts like databases, access control, and business processes will help you engage more deeply with the course content. No programming experience is required.</li><li> <br /><strong>Related Professional Certificate</strong> <br /> <br />This course is part of the <strong>IBM Data Management Professional Certificate</strong>.<strong> </strong>This is a comprehensive program designed to prepare you for a career in data governance, architecture, and analytics, and we recommend that you enroll in the full certificate to develop end-to-end skills and build a standout portfolio that aligns with industry roles in data and IT management. <br /><br /><strong>Course Syllabus</strong></li><li><br /><strong>Module 1: Data Privacy and Security</strong> <ul><li>Data privacy and exposure risks </li><li>Encryption, access control, and secure system design </li><li>Lab: MySQL User Management and Data Security </li></ul></li><li><strong>Module 2: Data Architecture and Governance</strong> <ul><li>Data architecture frameworks and principles </li><li>Governance roles, responsibilities, and best practices </li><li>Case Study: Airbnb’s approach to data governance </li></ul></li><li><strong>Module 3: Risk and Compliance</strong> <ul><li>Risk prioritization and mitigation strategies </li><li>Overview of compliance frameworks (e.g., GDPR, HIPAA) </li><li>Regulations and how they impact data systems </li></ul></li><li><strong>Module 4: Final Project</strong> <ul><li>SecureHealth Inc. case simulation </li><li>Design and submit a secure, compliant data solution </li></ul></li><li><strong>Module 5: Course Wrap-Up</strong> <ul><li>Summary, glossary, and learner reflections </li><li>Next steps and career guidance </li></ul></li><li><br /><br /><br /><br /></li></ul>
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Managing Data Privacy, Governance, Risk, and Compliance

Build essential, hands-on skills in data privacy, governance, risk, and compliance to protect data, ensure trust, and meet regulatory requirements

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  <div>In this course, you will learn how IBM watsonx, IBM's portfolio of AI products, accelerates the impact of generative AI in core workflows to drive productivity. You follow the story of Erik, the AI specialist, who works for a large health products company, and learn the benefits and capabilities of watsonx. You explore the bases of watsonx, such as foundation models and data lakehouses, supported by querying, governance and open data formats to access and share data. You investigate the use of conversational AI for fast and efficient customer care and AI agents (capable of autonomous reasoning) to solve complex tasks.</div><div><br /></div><div><strong>Objectives</strong></div><ul><li>Describe how watsonx can accelerate the impact of generative AI in core workflows to drive productivity.</li><li>Explain the components of watsonx.</li><li>Differentiate between large language models, foundation models, and generative AI.</li><li>Discuss the benefits of an open lakehouse architecture.</li><li>Discuss the need for governance of AI activities and artifacts.</li><li>Explain how to build, deploy, and manage powerful AI assistants and agents.</li><li>Describe how generative AI can be used to accelerate code generation and increase developer productivity.</li></ul>
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watsonx: Technical Essentials

This course aims to familiarize AI specialists with the watsonx portfolio of products, and how they help businesses adopt foundation models and execute generative AI to drive success and unlock value.

<div>Turn your weekend into an AI development sprint that leaves you with agents smart enough to replace your most tedious tasks. This hands-on path shows you how to build intelligent systems using LangGraph and LangChain. Your agents will learn to use tools, reason through problems, and get better with each interaction—just like training a smart assistant.<br><br>Many AI systems today are glorified search engines—they answer questions but can't actually solve problems. Real AI agents are different. They can think through complex challenges, use external tools, research information, and even critique their own work to get better results.<br><br>This learning path takes you from basic concepts to building sophisticated AI agents that actually get things done. You'll work with LangGraph and LangChain—the same frameworks used by leading AI companies—to create agents that can research topics, solve mathematical problems, analyze content, and even improve their own responses through self-reflection.<br><br></div><div><strong>Project: Build a Simple ReAct Agent from Scratch</strong></div><div><strong>Objective:</strong> Establish foundational understanding of ReAct framework principles and basic agent architecture. <br><strong>Skills Covered:</strong> Agent design patterns, structured reasoning implementation, basic tool integration, and context management techniques. <br><strong>Learning Outcomes:</strong> understand core ReAct concepts and build their first reasoning agent capable of systematic problem-solving.<br>&nbsp;</div><div><strong>Project: How to Build - AI Math Assistant with LangChain Tool Calling</strong></div><div><strong>Objective:</strong> Develop practical tool-calling capabilities with focus on accuracy and reliability. <br><strong>Skills Covered:</strong> Custom tool creation, input validation, error handling, and precision-focused AI responses. <br><strong>Learning Outcomes:</strong> create specialized mathematical tools and understand how to eliminate hallucinations in computational tasks.<br><br></div><div><strong>Project: Build and Execute Your Own Tools for LLMs</strong></div><div><strong>Objective:</strong> Expand tool-calling capabilities to interact with external services and digital content. <br><strong>Skills Covered:</strong> API integration, video content analysis, external service connections, and manual tool execution control. <br><strong>Learning Outcomes:</strong> design tools that enable LLMs to interact with YouTube and other external platforms effectively.<br><br></div><div><strong>Project: Build Reasoning and Acting AI Agents with ReAct</strong></div><div><strong>Objective:</strong> Implement complete ReAct cycles with observation and adaptation mechanisms. <br><strong>Skills Covered:</strong> Multi-step reasoning, information gathering strategies, result analysis, and approach refinement. <br><strong>Learning Outcomes:</strong> create agents capable of complex query processing and systematic problem resolution.<br><br></div><div><strong>Project: Make Your AI Agents Smarter with Reflection in LangGraph</strong></div><div><strong>Objective:</strong> Introduce self-improvement capabilities through structured reflection mechanisms. <br><strong>Skills Covered:</strong> Iterative response improvement, self-critique implementation, and content optimization workflows. <br><strong>Learning Outcomes:</strong> build agents that can evaluate and enhance their own outputs through systematic reflection.<br><br></div><div><strong>Project: Reflexion Agent 101: LangGraph ReAct agents</strong></div><div><strong>Objective:</strong> Develop specialized domain agents with self-validation capabilities. <br><strong>Skills Covered:</strong> Domain-specific reasoning, response validation, systematic self-reflection, and professional-grade advice generation. <br><strong>Learning Outcomes:</strong>&nbsp;create nutritional advisory agents that research, critique, and improve their recommendations.<br><br></div><div><strong>Project: Build a Self-Reflective Deep Research Agent using LangGraph</strong></div><div><strong>Objective:</strong> Construct advanced research agents with external validation and continuous improvement. <br><strong>Skills Covered:</strong> Research-backed validation, graph-based workflows, intelligent decision-making, and performance optimization. <br><strong>Learning Outcomes:</strong>&nbsp;develop sophisticated agents capable of complex, multi-step research tasks with built-in quality assurance.</div><div><br></div><div>Upon completing this learning path, learners will possess practical knowledge of agent architecture, tool integration, and self-improvement mechanisms.</div>

Fundamentals of AI Agents

Learn to build AI agents with LangChain, LangGraph, ReAct, and Reflexion

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  <div>Machine learning models can achieve impressive accuracy, but explaining <em>why</em> they make specific predictions remains one of the biggest challenges in data science. A model that predicts bike rentals with 94% accuracy is valuable, but a model that also reveals the hidden factors driving demand is transformational for business strategy. This guided project explores how to use Accumulated Local Effects (ALE) plots to unlock the "black box" of complex machine learning models, revealing actionable insights that traditional interpretation methods often miss or misrepresent. Using real bike-sharing data, you'll discover how weather, time, and seasonal patterns truly influence rental demand—and why conventional interpretation techniques can lead you astray.<br /><br /></div><h1>What You'll Learn</h1><div>By the end of this project, you will be able to:</div><ul><li><strong>Identify limitations of traditional interpretation methods</strong>: Explore why Partial Dependence Plots (PDPs) can mislead when features are correlated, creating unrealistic scenarios and impossible feature combinations that don't reflect actual data patterns.</li><li><strong>Implement ALE plots from scratch</strong>: Learn the theory and implementation of Accumulated Local Effects plots, learning how they isolate individual feature effects while respecting realistic data combinations and handling correlated features properly.</li><li><strong>Generate actionable business insights</strong>: Translate complex model behavior into concrete business recommendations for fleet management, operational timing, and revenue optimization strategies.<br /><br /></li></ul><h1>Who Should Enroll</h1><ul><li><strong>Data Scientists and ML Engineers</strong> working with black-box models who need to explain predictions to stakeholders, ensure model fairness, or debug unexpected model behavior. This project provides essential skills for making complex models interpretable and trustworthy in production environments.</li><li><strong>Business Analysts and Consultants</strong> who use machine learning models to drive strategic decisions and need to understand not just what the model predicts, but why it makes those predictions. The business insight generation techniques taught here are directly applicable to any domain where ML drives decision-making.</li><li><strong>Students and Researchers</strong> in data science, statistics, or related fields who want to understand advanced model interpretation techniques beyond basic feature importance. This project covers cutting-edge explainable AI methods that are increasingly important in academic research and industry applications.<br /><br /></li></ul><h1>Why Enroll</h1><div>Model interpretability isn't just an academic exercise—it's essential for building trust, ensuring fairness, and making data-driven decisions with confidence. Traditional interpretation methods like feature importance and partial dependence plots can mislead when applied to real-world datasets with correlated features, leading to poor business decisions and wasted resources. This project teaches you to navigate these pitfalls using ALE plots, a technique that provides accurate, actionable insights even when features are highly correlated. You'll work with authentic bike-sharing data that contains the complex relationships and dependencies typical of real business datasets, giving you practical experience with challenges you'll face in professional data science roles.<br /><br /></div><h1>What You'll Need</h1><div>To follow along with this guided project, you should have a solid understanding of Python and experience with data manipulation using pandas and NumPy. Familiarity with scikit-learn and basic machine learning concepts is essential. Experience with matplotlib and seaborn for data visualization will be helpful. The project assumes knowledge of statistical concepts like correlation and assumes you've worked with Jupyter notebooks before. All necessary libraries and the UCI bike-sharing dataset are provided in the IBM Skills Network Labs environment. The platform works best with current versions of Chrome, Edge, Firefox, or Safari.</div>
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Understand your ML Models Graphically with ALE Plots

85% of data science projects fail because they don't solve business problems. Break the cycle by implementing an explainable AI solution that bridges technical skills and business intelligence. Learn to solve a bike rental business challenge through advanced data analysis using ALE plots. Level up your expertise with interpretable ML and visualization techniques that are shaping the future of applied data science.  

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  <div>Keen to expand your data management skills? This course equips you with essential data integration, storage, and migration skills that are core to any data-focused role.  </div><div> </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Develop in-demand skills in data integration, storage, and migration that align with industry needs.  </li><li>Gain practical experience using industry-specific data tools. </li><li>Build proficiency in applying data-related best practices and methodologies through industry-standard processes.  </li><li>Demonstrate your ability to solve challenges related to processes that you can showcase in interviews. </li></ul><div> </div><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>As organizations increasingly rely on data-driven decision-making, the demand for data professionals continues to rise. This course is ideal for individuals who are building a data-centric career. However, it is also valuable for project management or data analysis professionals who want to enhance their data management capabilities.  </div><div>During the course, you’ll discover the best practices and processes in three key areas—data integration, storage, and migration. You’ll explore critical aspects of data integration, such as implementation patterns, the role of data connectors in integrating data, and the data integration operations management (DIOM) framework. You’ll look at data storage concepts, types of cloud storage, and backup techniques to support efficient data management and system resilience. Plus, you’ll learn about data migration strategies that enable seamless upgrades from legacy systems with minimal disruption to business operations.  <br /><br /></div><div>Enroll today to enhance your resume with the essential skills you need for a successful data-oriented career and get ready to boost your career opportunities.  </div><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Course Syllabus</strong>  </div><div> </div><div>The course consists of the following modules:  </div><div> </div><div><strong>Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: How to Make the Most of This Course</li></ul><div><strong><br />Module 1: Introduction to Data Integration</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Introduction to Data Integration &amp; Patterns</li><li>Video: Point-to-Point Integration Pattern</li><li>Video: Extract Transform Load Integration Pattern</li><li>Activity: ETL with Power BI Simulation</li><li>Practice Quiz: Data Integration Patterns</li><li>Video: Introduction to Data Connectors</li><li>Video: Database Connectors</li><li>Reading: Connectors Supplement </li><li>Lab: Consuming REST APIs in Power BI (Simulation)</li><li>Practice Quiz: Connectors and Integration Mechanisms</li><li>Video: Security &amp; Technical Architecture</li><li>Video: Overview of Data Integration Tools </li><li>Video: Data Integration Operations Management</li><li>Practice Quiz: Data Integration Deep Dive</li><li>Reading: Summary and Highlights:  Introduction to Data Integration </li><li>Graded Quiz: Introduction to Data Integration </li></ul><div><strong><br />Module 2: Data Storage</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Introduction to Storage Concepts</li><li>Reading: RAID Concepts </li><li>Video: Storage Protocols</li><li>Practice Quiz: Introduction to Storage Concepts</li><li>Video: Types of Cloud Storage</li><li>Video: Cloud Storage Service Providers</li><li>Reading: Emergent Trends and Practices in Cloud Storage</li><li>Lab: Azure Data Storage (Simulation)</li><li>Practice Quiz: Cloud Storage</li><li>Video: Backup Fundamentals </li><li>Video: Backup Techniques </li><li>Activity: Data Backup and Recovery</li><li>Practice Quiz: Backup Fundamentals</li><li>Reading: Summary and Highlights: Data Storage</li><li>Graded Assignment: Graded Quiz: Data Storage</li></ul><div><strong><br />Module 3: Data Migration</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Data Migration Overview</li><li>Video: Migration Architecture &amp; Terminology </li><li>Video:  Types of Data Movement </li><li>Practice Quiz: Data and Database Migration</li><li>Video: Data Center Migration Steps</li><li>Video: Migrating Data to the Cloud</li><li>Activity: Data Migration Simulation</li><li>Practice Quiz: Data Center Migration</li><li>Reading: Summary and Highlights: Data Migration</li><li>Graded Quiz: Data Migration</li><li>Reading: Final Project Overview </li><li>Lab: Final Project - Scenario: Integration, Storage and Migration </li><li>Assignment: Final Project Submission  </li></ul><div><strong><br />Module 4: Course Wrap Up</strong></div><ul><li>Video: Course Wrap-up </li><li>Reading: Additional Resources and References</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li><li>Reading: Copyrights and Trademarks</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is designed for individuals who are looking to build a data-centric career and are keen to advance their data management skills.   </div><div> </div><div>A specialized degree is not required, but prior knowledge or experience in data management is beneficial. </div>
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Applied Data Integration, Storage, and Migration

Master data integration, storage, and migration, and gain key skills for your data career. Learn best practices and boost your resume. 

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  <div>Ready to dived into the high-demand world of enterprise data architecture? Whether you’re keen to advance your data career or pivot into specialized roles like a data architect or enterprise data strategist, this course equips you with essential knowledge and skills to succeed in this field.  </div><div> </div><div><strong>You will learn:</strong>  </div><ul><li>Significance, advantages, and core components of enterprise data architecture and widely used data architecture frameworks.  </li><li>How to design and deploy enterprise data architectures for specific business requirements.  </li><li>How to develop policies and procedures, such as data retention policies and operational standards, and implement them </li><li>How to plan and carry out data system migrations and modernization initiatives. </li></ul><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>During this course, you’ll gain the knowledge and skills to design, deploy, and modernize enterprise data systems effectively.  It’s ideal for aspiring data architects with a background in data engineering, database administration, system architecture, or data analysis. </div><div> </div><div>You’ll learn how to design and optimize architecture that meets specific business requirements, manage data operations, and plan and execute data migrations and system modernizations leveraging emerging technologies. You’ll explore the key building blocks of enterprise data architecture and look at popular data architecture frameworks such as TOGAF and Zachman. Plus, you’ll learn aboutETL processes, DataOps practices, and lifecycle management for managing data operations, as well as planning and implementing data migrations and system modernizations.  </div><div> </div><div>Throughout, you’ll get hands-on experience designing, managing, and modernizing enterprise data architectures in guided labs and projects. So that bythe end of this course, you’ll have the in-demand skills to excel in designing, managing, and modernizing enterprise data architectures. </div><div> </div><div>Enroll now and build the skills that will advance your career in enterprise data architecture in just a few weeks.  <br /><br /><br /><strong>Syllabus<br /></strong><br /></div><div><strong>Welcome</strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: How to Make the Most of this Course</li></ul><div><strong>Module 1: Enterprise Data Architecture</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Introduction to Enterprise Data Architecture </li><li>Video: Core Components of Enterprise Data Architecture </li><li>Lab: Prepare a Flowchart for the Consolidation of Data Infrastructure</li><li>Video: Types of Data Models </li><li>Lab: Prepare a Data Model for a Transaction Processing System</li><li>Video: Data Architecture Frameworks </li><li>Video: Future Trends in Enterprise Data Architecture </li><li>Video: Understand Business Requirements </li><li>Video: Assess Existing Data Infrastructure </li><li>Lab: Create an EDA blueprint </li><li>Video: Select the Tools and Technologies </li><li>Reading: Enterprise Data Architecture of an International Logistics Company</li><li>Storyline: Choosing the Right Data Management Tool</li><li>Video: Implement the Data Architecture </li><li>Practice Quiz: Enterprise Data Architecture</li><li>Module Summary: Enterprise Data Architecture</li><li>Graded Quiz: Enterprise Data Architecture </li></ul><div><strong>Module 2: Enterprise Data Operations</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Core Enterprise Data Operations </li><li>Lab: Draft a data retention policy for an Oil Exploration Company</li><li>Video: ETL in the Enterprise </li><li>Lab: Redesign a Schema Designed for OLTP and Modify it to Suit OLAP</li><li>Video: The Practice of DataOps </li><li>Video: Data Lifecycle </li><li>Storyline: Choosing Storage Types</li><li>Video: Planning for Migrations </li><li>Case Study: Evaluation of Enterprise Architecture of a Media Company</li><li>Video: Implementing a Modernization Program </li><li>Reading: Creating standardized operating procedures documentation for upgrades/migrations</li><li>Video: Impact of Application Architectures on Data Operations </li><li>Case Study: Transforming a Supermarket Chain</li><li>Lab: Migrate an OLTP Schema to a NoSQL Database</li><li>Video: Integrating a New Technology/Paradigm into the Current Enterprise </li><li>Practice Quiz: Enterprise Data Operations</li><li>Module Summary: Enterprise Data Operations</li><li>Graded Quiz: Enterprise Data Operations </li></ul><div><strong>Module 3: Final Project</strong></div><ul><li>Reading: Final Project Overview: DigiHealth Modernization Initiative</li><li>Final Project: Enterprise Data Architecture &amp; Operations for DigiHealth</li><li>Final Project Submission</li></ul><div><strong>Module 4: Final Exam</strong></div><ul><li>Final Exam: Enterprise Data Architecture: Design and Operations </li><li>Final Exam</li><li>Retake Exam</li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-Up </li><li>Glossary: Enterprise Data Architecture: Design and Operations</li><li>Congratulations and Next steps</li><li>Team and Acknowledgment</li></ul><div><strong>Course Rating and Feedback</strong></div><ul><li>Course Rating and Feedback</li></ul><div><strong>Recommended Skills</strong></div><div> </div><div>This course is designed for aspiring data architects, engineers, database administrators, and system architects.   </div><div>You should have fundamental knowledge of data engineering concepts, including SQL querying, relational database management systems (RDBMS), ETL processes, data pipelines, and data integration practices.  </div><div>You should also be familiar with data integration and data storage concepts and have a basic awareness of data governance principles and regulatory frameworks. </div><div><br /><br /></div>
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Enterprise Data Architecture: Design and Operations

Master Enterprise Data Architecture with frameworks like TOGAF and Zachman. Learn ETL, DataOps, and design scalable, business-aligned data systems. 

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  <div>Looking to add a professional-grade project to your portfolio that showcases your advanced Java development skills? Then, get ready to build a full-stack Smart Clinic Management System, applying real-world techniques in Agile development, database design, and Spring Boot that will stand out to employers. </div><div> </div><div><strong><em>In this capstone project you will:</em></strong> </div><ul><li>Build a portfolio-ready, full-stack application using Java, Spring Boot, and modern web technologies to showcase your advanced development skills to employers. </li><li>Design interactive, dynamic web pages using JavaScript to deliver responsive, engaging user experiences essential for today’s web development roles. </li><li>Use Hibernate ORM to manage complex entity relationships across SQL and NoSQL databases, critical for building scalable, data-driven applications. </li><li>Apply cloud-native practices, microservices, DevOps, and Agile methodologies to develop, deploy, and maintain enterprise-ready backend systems. </li></ul><div> </div><div><strong>Project Overview</strong> </div><div>When employers are looking for a Java developer, real-world, demonstrable experience will always catch their eye. This IBM capstone project gives you the opportunity to stand out by applying your job-ready Java programming skills in a realistic, end-to-end software development scenario; the ideal project for aspiring developers looking to build a strong portfolio. </div><div> </div><div>In this project, you’ll take on the challenge of transforming a clinic’s manual operations into a Smart Clinic Management System using full-stack Java development and Agile practices. </div><div> </div><div>Throughout the project, you’ll apply key skills like requirements gathering in an Agile framework, designing SQL and NoSQL databases, and building an MVC-based Spring Boot application using Java annotations and validations. You’ll also create a multi-user front end with HTML, CSS, and JavaScript. </div><div> </div><div>As part of your development workflow, you’ll produce essential project artifacts, including user stories, architectural and database design documents, and CI/CD plans. Then, you’ll submit your completed code and design documentation via a public GitHub repository for review. </div><div> </div><div>By the end of this capstone, you’ll have a professional-grade application and portfolio-ready project that demonstrates your Java development expertise to employers.  </div><div> </div><div>Enroll now and get ready to apply your skills, build credibility, and power your career forward! </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>This advanced capstone project course is designed for learners who have completed the preceding courses in the<strong> IBM Java Developer Professional Certificate</strong>. To get the most from completing this project, you should be familiar with Java development, Spring Boot, RESTful API design, JWT Auth, RDBMS, NoSQL, Microservices, Docker, and CI deployment. </div><div> </div><div><strong>Related Professional Certificate</strong> </div><div> </div><div>This course is part of the<strong> IBM Java Developer Professional Certificate</strong>. If you’re looking to launch a career in back-end or full-stack development using Java, we recommend enrolling in the full program and progressing through the courses in sequence. In under six months, you’ll gain job-ready Java skills, hands-on experience with industry tools, and a portfolio to help you stand out to employers. </div><div> </div><div><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Video: Capstone Project Overview </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li></ul><div> </div><div><strong>Module 1: Project Overview and Requirements Gathering   </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Creating Architecture Design Document  </li><li>Video: Recap of Technical Design  </li><li>Lab: Creating Architecture Design Document  </li><li>Reading: Assignment Overview: Creating User Stories </li><li>Video: Recap of User Stories  </li><li>Lab: Creating User Stories  </li><li>Assessment Checklist: Project Overview and Requirements Gathering </li><li>Module 1 Graded Quiz: Project Overview and Requirements Gathering    </li></ul><div> </div><div><strong>Module 2: Database Designs and JPA Models</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Designing the Database </li><li>Video: Recap of Database Design  </li><li>Lab: Designing the Database  </li><li>Reading: Assignment Overview: Building Models with Validations </li><li>Video: Recap of JPA Entities and Validations  </li><li>Reading: JPA and Annotations: Examples  </li><li>Lab: Create Models with Validations    </li><li>Assessment Checklist: Database Designs and JPA Models </li><li>Module 2 Graded Quiz: Database Designs and JPA Models </li></ul><div> </div><div><strong>Module 3: Sample Data and Stored Procedures </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Adding Databases and Tables </li><li>Video: Recap of Adding Sample Data  </li><li>Lab: Add Database and Tables </li><li>Reading: Assignment Overview: Adding Stored Procedures </li><li>Video: Recap of Stored Procedures  </li><li>Lab: Adding Stored Procedures  </li><li>Assessment Checklist: Sample Data and Stored Procedures  </li><li>Module 3 Graded Quiz: Sample Data and Stored Procedures  </li></ul><div> </div><div><strong>Module 4: Front End and MVC </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Front-End Pages  </li><li>Video: Recap HTML, CSS, and JSS </li><li>Reading: HTML, CSS, and JSS </li><li>Lab: Creating Front-End Pages </li><li>Lab: Developing Services and Utilities   </li><li>Reading: Assignment Overview: Creating MVC for Login </li><li>Video: Recap of MVC  </li><li>Reading: MVC Examples </li><li>Lab: Creating MVC for Login  </li><li>Assessment Checklist: Front End and MVC  </li><li>Module 4 Graded Quiz: Front End and MVC  </li></ul><div> </div><div><strong>Module 5: Containerization and Deployment   </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Assignment Overview: Creating REST Endpoints </li><li>Video: Recap of Spring Boot Back End  </li><li>Reading: Spring Boot Back End </li><li>Lab: Creating REST Endpoints  </li><li>Reading: Assignment Overview: Containerizing Spring Boot Application with Docker </li><li>Video: Recap of Dockerfile and Docker CLI Commands   </li><li>Lab: Containerizing Spring Boot Application with Docker </li><li>Reading: Assignment Overview: Adding GitHub CI Workflows and Actions </li><li>Video: Recap of Simple CI  </li><li>Reading: Simple CI </li><li>Lab: Adding GitHub CI Workflows and Actions </li><li>Assessment Checklist: Containerization and Deployment    </li><li>Module 5 Graded Quiz: Containerization and Deployment    </li></ul><div> </div><div><strong>Module 6: Final Submission and Reflection</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Reading: Prepare to Submit Your Project </li><li>Final Project: Smart Clinic Management System </li></ul><div> </div><div><strong>Module 7: Course Wrap-Up </strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li></ul><div> </div><div><strong>Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li></ul>
</div>


Java Programming: Capstone Project

Build a full-stack Java app with Spring Boot, SQL/NoSQL, and CI/CD. Showcase your architecture, code, and design docs in a portfolio-ready project.

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  <div><br /></div><div><strong><em>What You’ll Learn</em></strong><em> <br /></em><br /></div><div>Master the key components that power modern mobile apps—from push notifications to back-end services and database integration. </div><ul><li>Build cross-platform mobile apps that support notifications and cloud back ends </li><li>Implement UI and UX features using Flutter and React Native frameworks </li><li>Connect your apps to embedded and remote databases using SQLite and Firebase </li><li>Prepare, publish, and market your mobile apps for both Android and iOS platforms </li></ul><div><strong><em>Overview</em></strong><em> </em></div><div>The global mobile app market is projected to reach $407 billion by 2026, making mobile development one of the most in-demand tech skills today. This course helps you become job-ready by teaching you how to build and publish functional mobile apps that incorporate real-world features like notifications and database connectivity. It's ideal for aspiring developers, tech professionals, or designers seeking to expand their mobile app development skill set. <br /><br /></div><div>The skills gained in this course are crucial for tasks such as building scalable app architectures, integrating cloud-based services, and optimizing user experience through responsive notifications and data storage. <br /><br /></div><div>You’ll start by learning how mobile notifications work and how to integrate them using Firebase in both React Native and Flutter. The course then explores mobile back-end services, cloud deployment, and WebSockets. You'll dive into embedded databases like SQLite and cloud databases like Firebase to power your apps with real-time data storage and retrieval. <br /><br /></div><div><br />You’ll also gain insight into the publishing process for Android and iOS apps, including guidelines for app stores, asset preparation, and analytics integration. The final part of the course guides you through launching apps built in both Flutter and React Native. <br /><br /></div><div>Hands-on labs are a key part of the experience. You'll apply what you learn by completing real-world coding tasks and cap it all off with a final project—building and deploying a media manager app from start to finish. <br /><br /></div><div>Whether you're building your portfolio or applying for entry-level mobile development roles, this course helps you stand out with practical experience and cross-platform app development skills. Enroll now and take the next step in your mobile development journey. <br /> </div><div><strong>Prerequisites</strong> <br /><br /></div><div>This is an intermediate-level course designed for learners who have some prior experience with programming or mobile app development. To succeed in this course, you should have: </div><ul><li>Basic familiarity with mobile development concepts or completion of an introductory course in mobile app development </li><li>Experience working with either Flutter or React Native (you don’t need to know both, but prior exposure to one is essential) </li><li>A development-ready computer (Windows, macOS, or Linux) capable of running Flutter and/or React Native environments </li><li>Comfort using developer tools, writing simple code, and navigating documentation </li></ul><div>Familiarity with JavaScript or Dart will help you follow along with the hands-on labs and final project. <br /><br /></div><div><strong>Related Professional Certificates</strong> <br /><br /></div><div>This course is part of the following Professional Certificate program - <strong>IBM iOS and Android Mobile App Developer Professional Certificate</strong> – Prepares learners for roles such as Junior Mobile App Developer, Mobile UI Developer, or Cross-Platform App Developer. <br /><br /></div><div><strong>Course Syllabus</strong> </div><ul><li><strong>Module 0: Welcome </strong><ul><li>Video: Course Introduction </li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: How to Make the Most of this Course</li><li>Reading: Grading Scheme</li></ul></li><li><strong>Module 1: Mobile Notifications and UI Design </strong><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Handling Notifications in Mobile Apps </li><li>Video: Best Practices for Mobile Notifications </li><li>Video: Overview of Notification Delivery Systems </li><li>Reading: React Native Notifications</li><li>Lab: Creating Notifications in React Native with Firebase</li><li>Lab: Creating Notifications in Flutter</li><li>Video: Overview of Mobile Design </li><li>Video: Principles of Mobile UI Design </li><li>Video: Media and Interactions in Mobile Apps </li><li>Lab: Implementing Media in React Native</li><li>Lab: Integrating Media in Flutter</li><li>Module Summary: Mobile Notifications and UI Design</li><li>Practice Quiz: Mobile Notifications and UI Design</li><li>Glossary: Mobile Notifications and UI Design</li><li>Cheat Sheet: Mobile Notifications and UI Design</li><li>Graded Quiz: Mobile Notifications and UI Design </li></ul></li><li><strong>Module 2: Back-end Services &amp; Databases in Mobile Apps </strong><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Overview of Mobile Back-end Services </li><li>Video: Introduction to Cloud Mobile Back-end Services </li><li>Video: Deployment Strategies for Mobile App Back-ends </li><li>Lab: Deploy API to Cloud with React Native</li><li>Lab: Deploy API to Cloud with Flutter</li><li>Video: WebSockets and Their Use Cases </li><li>Lab: Using WebSockets in React Native</li><li>Lab: Using WebSockets in Flutter</li><li>Video: Introduction to Embedded Databases </li><li>Video: CRUD Operations in Embedded Databases </li><li>Lab: Enhance SQLite Database in a React Native App</li><li>Lab: Create a Flutter App with Embedded Database</li><li>Video: Overview of Remote Databases </li><li>Video: Connecting Mobile Apps to Remote Databases </li><li>Video: Introduction to Firebase </li><li>Lab: Explore Google Firebase</li><li>Video: Using Flutter for Firebase </li><li>Lab: Use the Firebase API from Flutter</li><li>Reading: React Native with Firebase</li><li>Lab: Create a React Native App with Firebase</li><li>Lab: Build a Chat App with React Native and Firebase</li><li>Lab: Flutter with Firebase</li><li>Module Summary: Back-end Services &amp; Databases in Mobile Apps</li><li>Practice Quiz: Back-end Services &amp; Databases in Mobile Apps</li><li>Glossary: Backend Services and Databases in Mobile App Development</li><li>Cheat Sheet: Back-end Services and Databases in Mobile Apps</li><li>Graded Quiz: Back-end Services &amp; Databases in Mobile Apps </li></ul></li><li><strong>Module 3: Mobile App Publishing, Marketing, and Support </strong><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Creating Publishing Assets and Platform Guidelines </li><li>Video: App Store and Play Store Fundamentals </li><li>[Optional] Reading: Explore App Store and Play Store</li><li>Video: iOS App Publishing </li><li>Video: Android App Publishing </li><li>Lab: Prepare an App for Publishing</li><li>Video: Strategies for Mobile App Marketing </li><li>Lab: Preparation for Marketing a Mobile App</li><li>Video: Tools and Platforms for Customer Support </li><li>Video: Support and Updates: Best Practices </li><li>Lab: Create a Dashboard for Tracking Metrics with React Native</li><li>Lab: Create a Dashboard for Tracking Metrics with Flutter</li><li>Reading: Post-Launch Marketing Tips and Maintenance</li><li>Module Summary: Mobile App Publishing, Marketing, and Support</li><li>Practice Quiz: Mobile App Publishing, Marketing, and Support</li><li>Reading: Glossary: Mobile App Publishing, Marketing, and Support</li><li>Cheat Sheet: Mobile App Publishing, Marketing, and Support</li><li>Graded Quiz: Mobile App Publishing, Marketing, and Support </li></ul></li><li><strong>Module 4: Publishing Flutter and React Native Apps </strong><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Preparing a Flutter App for Publishing </li><li>Lab: Prepare a Flutter App for Publishing</li><li>Video: Releasing an App on iOS </li><li>Video: Releasing App on Android </li><li>Lab: Draft App Submission for App Store and Play Store</li><li>Video: Leveraging Google Analytics </li><li>Lab: Using Google Analytics in Flutter Apps</li><li>Video: Preparing a React Native App for Publishing </li><li>Video: Releasing React Native App on iOS </li><li>Video: Releasing React Native App on Android </li><li>Lab: React Native App Submission in the Marketplace</li><li>Module Summary: Publishing Flutter and React Native Apps</li><li>Practice Quiz: Publishing Flutter and React Native Apps</li><li>Reading: Glossary: Publishing Flutter and React Native Apps</li><li>Cheat Sheet: Publishing Flutter and React Native Apps</li><li>Reading: Selecting a Graded Quiz</li><li>Graded Quiz: Option A: Publishing Flutter Apps </li><li>Graded Quiz: Option B: Publishing React Native Apps </li></ul></li><li><strong>Module 5: Final Project </strong><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Reading: Final Project Overview </li><li>Final Project: Media Manager App Using React Native</li><li>Final Project: Movie Watcher App Using Flutter</li></ul></li><li><strong>Final Quiz </strong><ul><li>Final Exam</li><li>Retake Exam</li></ul></li><li><strong>Course Wrap-Up </strong><ul><li>Video: Course Wrap-Up </li><li>Reading: Congratulations and Next Steps</li><li>Reading: Thanks from the Course Team</li></ul></li><li><strong>Course Rating &amp; Feedback </strong><ul><li>Feedback</li></ul></li></ul><div> </div><div><br /><br /></div>
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Notifications and Databases for Mobile App Development

Build mobile apps with notifications, back-end integration, and databases using Flutter and React Native. Learn Firebase, SQLite, and app publishing workflows. 

<div>This specialization is designed for marketing professionals, managers, content creators, and small business owners who want to create engaging content quickly, improve engagement, and communicate more effectively with their audience using generative AI (GenAI).&nbsp;<br><br></div><div><strong>You will learn:</strong> &nbsp;<br><br></div><ul><li>Hands-on skills to leverage the power of GenAI in your digital marketing to work faster, smarter, and more effectively &nbsp;</li><li>Craft prompts that generate audience-oriented content, improve engagement, and get results&nbsp; &nbsp;</li><li>Optimize audience segmentation, keyword research, SEO, and digital advertising using GenAI tools and techniques &nbsp;</li><li>Implement AI-driven strategies to enhance e-commerce experiences and email marketing &nbsp;</li></ul><div><strong>Program Overview</strong> &nbsp;<br><br></div><div>During the program, you’ll build your understanding of core GenAI concepts and tools, and how to apply them to practical digital marketing tasks to get the best results. &nbsp;<br><br></div><div>You’ll learn how to streamline content creation for marketing, including writing key articles, ad copy, and social media posts, and use AI-driven strategies for audience targeting, keyword research, SEO, and digital advertising. Plus, you’ll explore how to enhance email marketing and e-commerce through automation and personalization. &nbsp;<br><br></div><div>Hands-on labs and projects will help you build practical experience in using GenAI tools for real-world digital marketing applications. You’ll craft effective prompts to generate relevant content for common marketing scenarios. Plus, you’ll use tools like ChatGPT and Microsoft Copilot to create multimodal marketing assets—such as blogs, images, and videos—and enhance key areas like campaign performance, SEO, digital advertising, e-commerce personalization, and email marketing. &nbsp;<br><br></div><div>If you’re keen to enhance your marketing skills with GenAI, enroll today!&nbsp;<br><br></div><div><strong>Prerequisites</strong> &nbsp;<br><br></div><div>This program is ideal for beginners. However, you do need basic computer literacy. Experience in digital marketing will also help you get the most out of the courses.&nbsp;<br><br></div><div><strong>Your Job Outlook</strong> &nbsp;<br><br></div><div>GenAI is transforming how digital marketers work. With GenAI skills at your fingertips, you have a lot to look forward to in your career. &nbsp;<br><br></div><ul><li>The global AI in marketing market is projected to grow from USD 20.39 billion in 2024 to about USD 217.33 billion by 2034, with an average annual growth rate of 26.7% – Precedence Research.&nbsp; &nbsp;</li><li>A survey by Jasper found that over 63% of marketers are already using GenAI in marketing.&nbsp; &nbsp;</li></ul>

   GenAI: Accelerate Digital Marketing Specialization    

Build hands-on skills in GenAI to transform your digital marketing strategies for social media, improve SEO, digital advertising, and e-commerce 

<div>Ready to add rocket fuel to your mobile app development career with generative AI (GenAI) skills that will transform your productivity? During this program:&nbsp;<br><br></div><div><strong>You will learn :</strong> &nbsp;<br><br></div><ul><li>Job-ready GenAI skills tailored to mobile app development in less than 3 months, supported by practical, hands-on experience that aligns with industry needs. &nbsp;</li><li>How to craft effective prompts and apply best practices for using GenAI for mobile app development. &nbsp;</li><li>How to use GenAI to develop and optimize code, develop prototypes, debug applications, and enhance code functionality—while also addressing ethical challenges. &nbsp;</li><li>How to apply advanced concepts such as machine learning integration and cloud-based deployment using GenAI. &nbsp;</li></ul><div>&nbsp;</div><div><strong>Program overview</strong> &nbsp;<br><br></div><div>The demand for talented mobile app developers who can leverage GenAI is booming. This specialization is designed to give you valuable GenAI skills that will power your mobile application development career forward in just 3 months. &nbsp;<br><br></div><div>During this program, you’ll gain hands-on experience using AI tools to generate text, images, code, audio, and video. You’ll learn prompt engineering, best practices, and ethical considerations while coding, prototyping, and optimizing real-world applications. Plus, you’ll explore how GenAI enhances mobile app development—from design to deployment—and dive into advanced topics such as machine learning and cloud integration to build AI-powered apps. &nbsp;<br><br></div><div>You’ll start by exploring the fundamentals of GenAI, completing hands-on exercises in text, image, and code generation. Next, you’ll dive into prompt engineering techniques where you’ll learn to craft clear and context-based prompts that produce accurate and effective AI interactions. &nbsp;<br><br></div><div>Then, you’ll apply these skills by building a personalized learning platform for software developers using ChatGPT. You’ll gather requirements, design MongoDB databases, generate backend code with Node and Express.js, test your API endpoints, and deploy the app using Docker and GitHub. &nbsp;<br><br></div><div>In the final phase, you’ll develop a mobile app with Project IDX, integrating tools such as Gemini AI, Copy.ai, and Synthesia.io to enhance user engagement and automate content creation. Plus, you’ll generate dynamic scripts, produce professional sales videos, and build an intelligent Flutter app that showcases your full stack and GenAI capabilities by leveraging these technologies. &nbsp;<br><br></div><div>If you’re keen to power up your mobile app development career with in-demand GenAI skills, enroll now and boost your resume in just 3 months.&nbsp; <br><br><strong>Prerequisites</strong> &nbsp;<br><br></div><div>To get the most from this program, you need to have a foundational understanding of software and mobile app development, along with basic computer literacy and familiarity with HTML, CSS, and Git. &nbsp;<br><br></div><div><strong>Your job outlook</strong> &nbsp;<br><br></div><div>The demand for using GenAI in many sectors, including mobile app development, is growing fast. So, with the right GenAI skills, you have a lot to look forward to in your career. &nbsp;<br><br></div><ul><li>According to <em>Grand View Research</em>, the global mobile app development segment for AI code tools— which encompasses GenAI usage in mobile app development, is projected to grow from $749.1 million in 2023 to $4230.6 million by 2030, representing a robust CAGR of 28.3% from 2024 to 2030 &nbsp;</li><li>The average salary of junior mobile developers at AI-focused startups in the U.S. is $95,000/year. (Source: Wellfound self-reported data for AI startups) &nbsp;</li><li>According to a McKinsey study, software developers can complete coding tasks up to twice as fast with GenAI.&nbsp;</li></ul><div>&nbsp;<br><br></div>

GenAI: Turbocharge Mobile App Development Specialization 

Develop job-ready GenAI mobile app development skills in just 3 months through hands-on projects and real-world experience from university and industry experts! 

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  <div>Ready to take your Java skills to the next level with real-world projects and advanced coding techniques? This course deepens your understanding of object oriented programming and Java collections, giving you valuable practical experience to build scalable, professional-grade applications. </div><div> </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Gain practical experience applying OOP techniques to build modular, reusable Java applications using classes, objects, encapsulation, and abstraction. </li><li>Use inheritance, polymorphism, interfaces, and method overloading to create flexible, maintainable Java code, skills vital for real-world development roles. </li><li>Manage application data effectively using the Java Collections Framework, including lists, sets, queues, and maps, key for scalable back-end systems. </li><li>Work with files, directories, and date-time APIs to handle system-level tasks in Java, a common requirement in enterprise-grade applications. </li></ul><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>Java developers with strong object oriented programming (OOP) skills earn an average annual salary of over $91,000 in the U.S. (Indeed.com). This intermediate-level course helps you advance your Java expertise by mastering OOP techniques used in real-world development. It’s ideal for developers with foundational Java experience who want to build efficient, scalable, and professional-grade applications. </div><div> </div><div>During the course, you’ll gain essential skills for tasks like designing modular programs, implementing code reuse through inheritance, managing complex data structures, and working with real-world I/O operations. You’ll deepen your understanding of core OOP concepts, such as encapsulation, abstraction, inheritance, and polymorphism, while guiding you through the creation and implementation of classes and objects. Plus, you’ll also explore advanced topics like interfaces, method overloading, and the Java Collections Framework. </div><div> </div><div>Through guided labs, coding challenges, and two capstone-style projects, including a mood-tracking app and an employee leave management system, you’ll apply your skills in scenarios that mirror real-world software development. You’ll work hands-on with data structures such as lists, sets, queues, and maps, and manage files using Java streams. Plus, you’ll cover directory management, as well as date and time operations, expanding your ability to build real-world Java programs. </div><div> </div><div>By the end of this course, you’ll be able to design and build the object oriented applications that businesses need. Enroll now to take your Java skills to the next level and accelerate your software development career! </div><div> </div><div><strong>Prerequisites</strong>  </div><div> </div><div>This course is designed for budding software developers, experienced professionals aiming to refine their programming skills, and students strengthening their foundation in programming. A basic understanding of software development and familiarity with Java fundamentals are essential to effectively grasp and apply object oriented programming concepts. </div><div> </div><div><strong>Related</strong><em> </em><strong>Professional Certificate</strong>  </div><div> </div><div>This course is part of the <strong>IBM Java Developer Professional Certificate</strong>. If you’re looking to build job-ready skills in Java development, we recommend you enroll in the full Professional Certificate program and work through the courses in order. Within a short period, you’ll gain hands-on experience in deploying Java applications using industry-standard practices, design patterns, and cloud-native technologies. </div><div> </div><div><strong>Course Syllabus</strong>  </div><div> </div><div>The course consists of the following modules:  </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li></ul><div> </div><div><strong>Module 1: Object Oriented Programming Basics  in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Object Oriented Programming </li><li>Using Classes and Objects in Java </li><li>Create Your First Class </li><li>Using Encapsulation in Java </li><li>Building Java Constructors </li><li>Build Your own Java Constructor </li><li>(Optional) Coding Challenge:  Object Oriented Basics in Java </li><li>Practice Quiz: Object Oriented Programming Basics in Java </li><li>Module 1 Summary: Object Oriented Programming Basics in Java </li><li>Module 1 Glossary: Introduction to Java Environment and Ecosystem </li><li>Module 1 Coding Cheat Sheet: Object Oriented Programming Basics in Java </li><li>Module 1 Graded Quiz: Object Oriented Programming Basics in Java </li></ul><div> </div><div><strong>Module 2: Advanced Object Oriented Programming Concepts in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>Understanding Inheritance in Java </li><li>Polymorphism Explained </li><li>Implementing Polymorphism </li><li>Applying Abstraction in Java </li><li>Using Inner Classes in Java </li><li>Design Interfaces and Abstract Classes </li><li>(Optional) Coding Challenge:  Advanced Object Oriented Programming in Java </li><li>Practice Quiz: Advanced Object Oriented Programming Concepts in Java </li><li>Module 2 Summary: Advanced Object Oriented Programming Concepts in Java </li><li>Module 2 Glossary: Advanced Object Oriented Programming Concepts in Java </li><li>Module 2 Coding Cheat Sheet: Advanced Object Oriented Programming Concepts in Java </li><li>Module 2 Graded Quiz: Advanced Object Oriented Programming Concepts in Java </li></ul><div> </div><div><strong>Module 3: Working with Collections in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Java Collection Framework </li><li>Working with Lists: ArrayList and LinkedList </li><li>Create a Simple To-Do List Using ArrayList </li><li>Exploring Sets: HashSet and TreeSet </li><li>Using Queues in Java </li><li>Using Maps: HashMap and TreeMap </li><li>Implement a Phonebook Using a HashMap </li><li>Using Collections in Real-World Scenarios </li><li>(Optional) Coding Challenge: Working with Collections in Java </li><li>Practice Quiz: Working with Collections in Java </li><li>Module 3 Summary: Working with Collections in Java </li><li>Module 3 Glossary: Working with Collections in Java </li><li>Module 3 Coding Cheat Sheet: Working with Collections in Java </li><li>Module 3 Graded Quiz: Working with Collections in Java </li></ul><div> </div><div><strong>Module 4: File and Directory Management in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Java File Handling </li><li>Using Byte Streams in Java </li><li>Working with File Input and Output Streams </li><li>Read a Text File </li><li>Managing Directories in Java </li><li>Use Directory Explorer </li><li>(Optional) Coding Challenge: File and Directory Management in Java </li><li>Practice Quiz: File and Directory Management in Java </li><li>Module 4 Summary: File and Directory Management in Java </li><li>Module 4 Glossary: File and Directory Management in Java </li><li>Module 4 Coding Cheat Sheet: File and Directory Management in Java </li><li>Module 4 Graded Quiz: File and Directory Management in Java </li></ul><div> </div><div><strong>Module 5: Date and Time Handling in Java</strong> </div><ul><li>Module Introduction and Learning Objectives </li><li>An Introduction to Java Date and Time Classes </li><li>Formatting Dates in Java </li><li>Format a Given Date and Time </li><li>Using Time Zones in Java </li><li>Calculate the Difference Between Two Dates </li><li>Lab: (Optional) Coding Challenge: Date and Time Handling in Java </li><li>Parsing Dates from Strings </li><li>Practice Quiz: Date and Time Handling in Java </li><li>Module 5 Summary: Date and Time Handling in Java </li><li>Module 5 Glossary: Date and Time Handling in Java </li><li>Module 5 Coding Cheat Sheet: Date and Time Handling in Java </li><li>Module 5 Graded Quiz: Date and Time Handling in Java </li></ul><div> </div><div><strong>Module 6: Final Project and Final Exam</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Final Project Overview </li><li>Final Project </li><li>Final Project Assessment </li></ul><div> </div><div><strong>Module 7: Course Wrap-Up </strong> </div><ul><li>Video: Course Wrap-Up  </li><li>Reading: Course Glossary  </li><li>Reading: Course Coding Cheatsheet </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Copyrights and Trademarks </li></ul><div> </div><div><strong>Course Rating and Feedback</strong> </div><ul><li>Course Rating and Feedback </li></ul>
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Java Programming: Object Oriented Concepts & Practice

Advance your Java skills with OOP, interfaces, collections, and file I/O. Complete real-world, hands-on projects such as a mood tracker and time-off system. 

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  <div>Artificial Intelligence is transforming the way we live, work, and interact with technology—and at the heart of this transformation are AI agents. These systems can perceive their environment, make decisions, and take actions to achieve specific goals. But what exactly are they? How do they work? And why are they becoming so important?<br /><br /></div><div>This course is designed to answer those questions in an engaging and accessible way. Whether you're a student, a professional exploring AI, or simply someone interested in how intelligent systems are shaping the world, this course will give you the foundational knowledge you need. Through interactive content—including an AI-driven podcast whose participants answer your questions—you’ll not only learn about AI agents but also experience how they function.<br /><br /></div><div>By the end of the course, you’ll be able to explain what AI agents are, describe how they operate, and identify their applications across different industries. You’ll also gain the confidence to explore more advanced AI topics or apply your knowledge in practical settings.<br /><br /><br /></div><h1><strong>What You’ll Learn</strong></h1><div><strong>By the end of this course, you will be able to:</strong></div><ul><li><strong>Explain the core principles of agentic AI</strong> and distinguish it from generative AI models.</li><li><strong>Describe how AI agents interact with tools and services</strong> using protocols like MCP to perform complex tasks autonomously.</li><li><strong>Analyze the structure and function of orchestrator agents</strong> and how they coordinate multiple agents to complete workflows.</li><li><strong>Evaluate the benefits, limitations, and risks of deploying agentic AI</strong> in real-world environments and multi-agent systems.</li></ul><div><br /></div><h1><strong>Course Overview</strong></h1><div><strong>Lesson 1: Foundations of Agentic AI</strong></div><ul><li>Explore how agentic AI differs from generative AI and why this matters in real-world applications </li><li>Understand what makes an AI system an “agent” and how agents operate independently </li><li>Examine how agentic systems compare to traditional AI workflows and automation tools </li><li>Learn about different categories of AI agents and the roles they play </li><li>Identify practical scenarios where agentic AI is useful—and where it may not be the best fit </li></ul><div><strong>Lesson 2: Tool Use and the Model Context Protocol (MCP)</strong></div><ul><li>Discover how AI agents enhance their capabilities by interacting with external tools and services </li><li>See how agents can perform tasks like querying databases using real-world examples such as SQL agents </li><li>Understand the Model Context Protocol (MCP) and how it enables seamless tool integration </li><li>Learn when it’s appropriate for agents to call tools automatically versus when human oversight is needed </li></ul><div><strong>Lesson 3: Agentic RAG and Multi-Agent Collaboration</strong></div><ul><li>Understand the importance of Retrieval-Augmented Generation (RAG) for accessing up-to-date information </li><li>Learn how agents use RAG to improve reasoning and decision-making </li><li>Explore orchestrator agents, which coordinate multiple specialized agents to complete complex workflows </li><li>Get introduced to the basics of multi-agent systems and how they communicate and collaborate </li><li>Examine the potential risks and challenges of deploying agentic AI in real-world environments </li></ul><div><br /></div><h1>Course prerequisites</h1><div>All you need is a desire to learn about AI agents and a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari. The course runs entirely in your browser—no downloads or installations required.</div>
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Introduction to Agentic AI

This course introduces the fundamentals of AI agents through a rich mix of interactive content. Learn what AI agents are, how they function, and why they are shaping the future of technology. Engage with an AI-driven podcast that responds to your questions, watch informative videos, explore curated readings, and check your understanding with short quizzes. Perfect for anyone looking to build a strong foundation in agentic artificial intelligence.

<div>In this learning path, you'll discover how to transform raw datasets into data-driven decisions by building proficiency in Python, SQL, pandas, scikit-learn, matplotlib, and Tableau through real-world projects that strengthen your professional portfolio.&nbsp;</div><div><br>Build your analytical foundation with Python, gaining fluency in pandas for data manipulation and scikit-learn for predictive modeling. You'll learn to clean messy datasets, perform statistical analysis, and create machine learning models that predict future trends and drive strategic decisions.</div><div><br>Database expertise sets professional analysts apart from casual hobbyists. Through our SQL course, you'll be introduced to core concepts like relational databases, complex joins, and data extraction techniques that handle enterprise-scale information.&nbsp;</div><div><br>Every professional data analyst knows no analysis is complete without visualizations to tell a story, this learning path also guides you on how to create your own stunning data visualizations using industry standard tools. Using Tableau and Matplotlib, you'll build delightful dashboards and interactive charts that transform complex findings into compelling stories.<br><br></div><div>In the age of big data, companies value analysts who can decode complex information and drive decision-making; this learning path will help you develop the expertise needed to become a star data analyst.&nbsp;</div>

Data Analyst: Career Preparation 

<div>Agents and agentic AI are the hottest topic in the industry. Develop agentic AI expertise through hands-on projects building multi-agent systems, agentic RAG applications, and custom tools. Begin with your first agentic application, then progress through popular agentic frameworks like CrewAI, LangGraph, AutoGen, and PydanticAI while creating real-world solutions from diet coaches to healthcare chatbots and document analysis systems.<br><br>Agentic AI represents a significant advancement in artificial intelligence, enabling systems to operate autonomously by reasoning through problems, planning solutions, and executing tasks with minimal human intervention. This approach is particularly valuable for applications requiring complex decision-making, multi-step problem solving, and dynamic adaptation to changing conditions.</div><div><br></div><div>This learning path provides a structured introduction to building agentic AI systems through practical application development. You'll work with established frameworks including CrewAI, LangGraph, AutoGen, and PydanticAI to create multi-agent systems that can collaborate, reason, and execute complex workflows. Each project is designed to build upon previous concepts while introducing new tools and techniques, ensuring a comprehensive understanding of both foundational principles and advanced implementation strategies.</div><div><br></div><div>The curriculum emphasizes hands-on development, guiding you through the creation of real-world applications across diverse domains including healthcare, customer support, content analysis, and document processing. This practical approach ensures that theoretical concepts are immediately applied and reinforced through working implementations.</div><div><br><strong>Course: Introduction to Agentic AI</strong></div><div>- <strong>Objective</strong>: Learn what AI agents are, how they function, and why they are shaping the future of technology</div><div>- <strong>Skills Covered</strong>: Artificial Intelligence, Agentic AI, AI Agent, Generative AI, LLM<br><br></div><div><strong>Project: Agentic AI - Multi-Agent App with CrewAI and Gradio</strong></div><div>- <strong>Objective</strong>: Build a multi-agent application that processes food images and generates personalized recipes</div><div>- <strong>Skills Covered</strong>: Multi-agent coordination, computer vision integration, CrewAI framework, and Gradio interface development</div><div><br></div><div><strong>Project: CrewAI 101: Building Multi-Agent AI Systems</strong></div><div>- <strong>Objective</strong>:&nbsp; Develop sophisticated AI systems that transform workflow automation</div><div>- <strong>Skills Covered</strong>: AI Agents, CrewAI, Generative AI, LLM, Python<br><br><strong>Project: How to Build - AI Math Assistant with LangChain Tool Calling</strong></div><div>- <strong>Objective</strong>: Build a custom AI math assistant that performs precise calculations</div><div>- <strong>Skills Covered</strong>: AI Agent, Function Calling, Generative AI, LangChain, LLM, Tool Calling</div><div><br><strong>Project: Build and Execute Custom Tools for LLMs</strong></div><div>- <strong>Objective</strong>: Develop specialized functions that enable LLMs to interact with external services and data sources</div><div>- <strong>Skills Covered</strong>: Tool creation, function calling, API integration, and LLM orchestration</div><div><br></div><div><strong>Project: Simple ReAct Agent from Scratch</strong></div><div>- <strong>Objective</strong>: Implement the ReAct (Reasoning + Acting) framework to create agents that think through problems step-by-step</div><div>- <strong>Skills Covered</strong>: Structured reasoning, adaptive problem-solving, and tool usage coordination</div><div><br></div><div><strong>Project: Agentic AI Workflow Design Patterns with LangGraph</strong></div><div>- <strong>Objective</strong>: Master core design patterns for building sophisticated multi-agent workflows</div><div>- <strong>Skills Covered</strong>: Sequential coordination, intent-based routing, parallel execution, and LangGraph implementation</div><div><br></div><div><strong>Project: MultiAgent Healthcare Chatbot with AG2</strong></div><div>- <strong>Objective</strong>: Build collaborative AI agents for medical treatment recommendations using AutoGen framework</div><div>- <strong>Skills Covered</strong>: Multi-agent collaboration, healthcare domain application, and AutoGen coordination</div><div><br></div><div><strong>Project: Customer Support Agent with PydanticAI</strong></div><div>- <strong>Objective</strong>: Create schema-driven agents for structured customer support interactions</div><div>- <strong>Skills Covered</strong>: Schema validation, PydanticAI framework, and customer service automation</div><div><br></div><div><strong>Project: Document Chat via Agentic RAG</strong></div><div>- <strong>Objective</strong>: Develop an advanced document analysis system using multi-agent architecture and self-correction</div><div>- <strong>Skills Covered</strong>: Agentic RAG, LangGraph workflows, Docling integration, and adaptive information retrieval</div><div><br></div><div>By completing this learning path, you'll develop practical skills in building autonomous AI systems that can reason, collaborate, and execute complex tasks. The projects focus on real-world applications and industry-standard frameworks, providing you with immediately applicable knowledge in multi-agent system design, workflow orchestration, and intelligent automation.</div><div><br></div><div>This structured approach to agentic AI development prepares you to tackle challenges in various domains, from healthcare and customer service to content analysis and document processing. The combination of theoretical understanding and hands-on implementation ensures you'll be well-equipped to design and deploy sophisticated AI solutions in professional environments.</div>

Agentic AI Hands-on 

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  <h1><strong>Can AI Really Do Math? 🤔 Let’s Fix That!</strong></h1><div><br /></div><div>You’re chatting with an AI assistant and ask, <strong>“What’s 1 + 1?”</strong>. Simple, right? But instead of a straightforward answer, the AI hesitates—or worse, confidently gives you the wrong one. Why?<br /><br />LLMs (Large Language Models) are <strong>not calculators</strong>—they predict answers based on text patterns rather than performing actual computations. This leads to <strong>hallucinations</strong>, where AI generates incorrect but convincing responses.<br /><br /></div><div><br /></div><h1><strong>Enter Tool Calling: Giving AI Real Skills</strong></h1><div><br /></div><div>Tool calling is a powerful feature in <strong>LangChain</strong> that allows AI models to <strong>use external tools instead of guessing</strong>. When faced with a math question, an AI agent can recognize the need for a precise answer and <strong>call a dedicated math function</strong>—just like a person reaching for a calculator instead of estimating.<br /><br /></div><div><br /></div><h1><strong>What You’ll Build</strong></h1><div><br /></div><div>In this guided project, you’ll create a <strong>custom mathematical toolkit</strong> using LangChain’s tool calling capabilities. Your AI agent will:<br /><br /></div><div>✅ <strong>Perform real calculations</strong> (addition, subtraction, multiplication, division)<br />✅ <strong>Dynamically select the right tool</strong> based on user queries<br />✅ <strong>Ensure accuracy with error handling and input validation</strong><br />✅ <strong>Seamlessly integrate multiple tools</strong> using LangChain’s <strong>Tool class<br /><br /></strong>By the end, you'll have an <strong>AI-powered assistant that doesn’t just predict answers—it computes them accurately!<br /></strong><br /></div><h1><strong>Why This Matters</strong></h1><div><br /></div><div>From <strong>AI tutoring bots</strong> to <strong>finance automation</strong>, many real-world applications require <strong>precise calculations</strong>. Tool calling ensures AI <strong>relies on real computations</strong>, making it more reliable in critical tasks.<br /><br /></div><div><br /></div><h1><strong>What You’ll Learn</strong></h1><div><br /></div><div>🔹 The fundamentals of <strong>LangChain’s tool calling</strong> and why it’s crucial for AI agents<br />🔹 How to design and implement <strong>custom tool functions</strong> for numerical operations<br />🔹 Techniques for <strong>error handling, input validation, and testing</strong><br />🔹 How AI agents can <strong>orchestrate multiple tools for different tasks<br /></strong><br /></div><h1><strong>What You’ll Need</strong></h1><div><br /></div><div>✅ Basic Python knowledge<br />✅ Interest in AI tool integration<br />✅ A web browser to access the <strong>IBM Skills Network Labs environment<br /></strong><br /></div><div><br />🚀 <strong>Let’s build an AI that actually does math—no more guessing!</strong></div>
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How to Build - AI Math Assistant with LangChain Tool Calling

Tired of AI getting math wrong? Frustrated by bizarre answers to simple questions like “What’s 1+1?” Take control with LangChain’s tool calling! In this hands-on project, you’ll build a custom AI math assistant that performs precise calculations—no more hallucinations. Learn to create and integrate tools for addition, subtraction, multiplication, and division, ensuring accuracy every time. With error handling, input validation, and testing, you’ll make AI truly reliable for real math. Perfect for developers looking to bridge AI with logic seamlessly! 

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  <div>In today's rapidly evolving AI landscape, single agents often struggle to address complex, multifaceted challenges effectively. This guided project introduces you to CrewAI—a powerful framework for orchestrating teams of specialized AI agents that work collaboratively toward shared objectives.<br /><br /></div><div>Through hands-on implementation, you'll build a practical multi-agent system that analyzes AI advancements and creates polished content about them. Your CrewAI system will employ a sequential workflow where a research analyst investigates current AI trends, a content strategist transforms findings into engaging narratives, and a web designer creates accessible presentations—creating a streamlined pipeline from research to final output.</div><div><br /></div><div><br /></div><h1><strong>What you'll learn</strong> </h1><div>After completing this project, you will be able to:</div><ul><li><strong>Design specialized AI agents</strong> with distinct roles, backstories, and tools for targeted tasks</li><li><strong>Construct sequential workflows</strong> that pass information seamlessly between agents</li><li><strong>Monitor performance metrics</strong> including token usage and execution time</li><li><strong>Build a complete fact-checking application</strong> from research to web presentation</li><li><strong>Adapt multi-agent patterns</strong> for your own business and analytical use cases</li></ul><div><br /></div><h1><strong>Who should enroll</strong> </h1><div>This project is perfect for:</div><ul><li><strong>Developers</strong> seeking to build more sophisticated AI applications through agent collaboration</li><li><strong>Data scientists</strong> looking to automate complex analytical workflows</li><li><strong>AI enthusiasts</strong> who want to explore the next evolution in AI architecture</li><li><strong>Business professionals</strong> interested in workflow automation and AI-driven decision support</li></ul><div><br /></div><h1><strong>What you'll need</strong> </h1><div>Before beginning this guided project, you should have:</div><ul><li>Basic understanding of Python programming</li><li>Familiarity with fundamental AI concepts</li><li>Access to a modern web browser for the IBM Skills Network Labs environment</li></ul><div><br /></div><h1><strong>Why enroll</strong> </h1><div>By completing this project, you'll gain practical experience with CrewAI—an emerging framework that represents the next frontier in AI application development. The skills you acquire will enable you to design systems where specialized agents collaborate to tackle challenges in business automation, data analysis, content generation, and decision support. As organizations increasingly seek AI solutions for complex processes, the ability to orchestrate multi-agent systems will become an invaluable skill for developers and AI practitioners in virtually every industry.</div>
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CrewAI 101: Building Multi-Agent AI Systems

Build AI agent teams that divide complex problems between specialized experts using CrewAI. Create a collaborative system where research analysts uncover insights, content strategists craft compelling narratives, and designers create polished web presentations—all working together in a seamless workflow. This approach solves problems no single agent could handle, mimicking human organizations where specialists combine their expertise. In just 45 minutes, master this orchestration framework to develop sophisticated AI systems that transform workflow automation and decision support.

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  <div>Ready to boost your skills in Java programming, JDBC, Hibernate, and database management? This course helps you build real-world applications using Java and SQL, giving you hands-on experience that employers look for in software developers, back-end engineering, and IT support roles. </div><div> </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>The job-ready skills you need to develop Java applications with databases in just 5 weeks </li><li>Apply the fundamentals of databases in a Java program using Java Database Connectivity and develop database-driven applications using Spring Boot  </li><li>Handle entity relationships with Object Relational Mapping (ORM) using Hibernate for efficient data management  </li><li>Explore other modern data storage solutions such as NoSQL, document, time series, and graph databases  </li></ul><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>Databases are the backbone of modern applications, powering everything from large-scale enterprise systems to web applications.  <br /><br /></div><div>This course gives you the comprehensive grounding you need to work with databases using Java programming. No database experience required.  </div><div>During the course, you’ll explore the fundamentals of databases and Java Database Connectivity (JDBC). You’ll get hands-on developing database applications using Spring Boot. Plus, you’ll work with Hibernate and explore other databases such as NoSQL, SQL Graph, and time series databases. </div><div> </div><div>Throughout the course, you’ll complete hands-on labs and gain valuable practical experience applying your skills. Plus, you’ll complete a final project where you’ll apply your knowledge and skills to a real-world scenario; great for chatting about in interviews!  </div><div> </div><div>If you’re looking to build the job-ready skills you need to develop Java applications with databases, enroll today. </div>
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Java Programming: Databases

Build hands-on Java programming and database management skills to develop data-driven applications using JDBC and Hibernate for real-world software development. 

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  <div>Ready to dive into the world of Cloud-native development, Microservices architecture, and DevOps practices? This course provides foundational knowledge and hands-on skills to build and deploy scalable applications using modern technologies. You'll work with Docker containers, Agile methodologies, and continuous integration workflows—key skills for roles in cloud-native engineering, backend development, and DevOps support. </div><div> </div><div><strong><em>What you will learn:</em></strong>  </div><ul><li>Build job-ready skills in cloud native, microservices, containers, DevOps, and Agile employers are looking for in just 6 weeks </li><li>Create RESTful APIs for modern web development and deploy them with Docker containers </li><li>Implement DevOps and CI/CD practices for streamlined development and deployment </li><li>Apply Agile and Scrum best practices for iterative, efficient software delivery </li></ul><div> </div><div><strong>Course overview</strong>   </div><div> </div><div>Over 80% of enterprises now use cloud-native technologies to drive innovation and scale efficiently (CNCF). Professionals with expertise in cloud-native development, microservices, and DevOps are in high demand. This course gives both aspiring and experienced developers the practical, job-ready skills employers are looking for. <br /><br /></div><div>In the course, you’ll explore cloud-native fundamentals, including hybrid cloud infrastructures and modernization strategies. Along the way, you'll gain hands-on experience working with RESTful APIs, CI/CD pipelines, and Agile and Scrum methodologies to improve team collaboration and delivery speed.  <br />The course also covers essential containerization concepts for using Docker and Kubernetes, ensuring you can build scalable and resilient applications. Through interactive labs and real-world projects, you'll develop technical expertise and confidence to apply these practices effectively in professional environments.  <br /><br /></div><div>By the end of the course, you'll have the expertise to build scalable cloud-native applications, automate development workflows, and align technical solutions with business objectives.  </div><div> </div><div>If you’re keen to open up exciting career opportunities in cloud, enroll today! </div><div> </div><div><strong>Prerequisites</strong>  </div><div> </div><div>The course is designed for beginners and experienced professionals who want to gain foundational knowledge in cloud-native development, microservices, DevOps, and Agile practices. While prior exposure to programming and software development concepts will be helpful, it is not mandatory, and learners can build on their existing knowledge as they progress through the course. </div><div> </div><div><strong>Related</strong><em> </em><strong>professional certificate</strong>  </div><div> </div><div>This course is part of the <strong>IBM Java Developer Professional Certificate</strong>. If you're looking to build job-ready skills in Java development, we recommend you enroll in the full program and work through the courses in order.  Within a short period, you'll gain hands-on experience in deploying Java applications using industry-standard practices, design patterns, and cloud-native technologies. <br /><br /></div><div> </div><div><strong>Course syllabus</strong>  </div><div> </div><div>The course consists of the following modules: </div><div> </div><div><strong>Module 0: Welcome </strong> </div><ul><li>Video: Course Introduction  </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most of this Course </li></ul><div> </div><div><strong>Module 1: Cloud Native Applications </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Welcome to Developing Cloud Native Applications  </li><li>Video: Cloud Computing Overview  </li><li>Video: Cloud Native Applications  </li><li>Lab: Cloud-Native Applications  </li><li>Video: CNCF  </li><li>Video: Hybrid Cloud [Optional]  </li><li>Video: Modernizing with Cloud Native Technologies  </li><li>Practice Quiz: Cloud Native Applications </li><li>Reading: Module 1 Summary: Cloud Native Applications </li><li>Reading: Module 1 Glossary: Cloud Native Applications </li><li>Reading: Module 1 Graded Quiz:  Cloud Native Applications </li></ul><div> </div><div><strong>Module 2: Mastering Microservices with REST and API Gateways</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: What are Microservices?  </li><li>Video: Comparison of Monolith vs SOA vs Microservices  </li><li>Video: Microservices Patterns  </li><li>Video: What is REST?  </li><li>Video: Introduction to API Gateway  </li><li>Lab: Creating a REST API with Java  </li><li>Video: Making API Requests using cURL and Postman  </li><li>Lab: CRUD Operations with Python  </li><li>Video: Documenting and Testing REST API with Swagger  </li><li>Lab: Creating a Swagger Documentation for REST API  </li><li>Reading: GraphQL Essentials: What Every Developer Should Know  </li><li>Practice Quiz: Mastering Microservices with REST and API Gateways  </li><li>Reading: Module 2 Summary: Spring Boot for Database Applications  </li><li>Reading: Module 2 Glossary: Mastering Microservices with REST and API Gateways </li><li>Reading: Module 2 Graded Quiz: Mastering Microservices with REST and API Gateways  </li></ul><div> </div><div><strong>Module 3: Containers and Containerization</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Containers  </li><li>Video: Introduction to Docker  </li><li>Video: Building and Running Container Images  </li><li>Video: Docker Objects  </li><li>Video: Docker Architecture  </li><li>Reading: Review of Docker Concepts and Understanding a Dockerfile  </li><li>Lab: Introduction to Containers, Docker and IBM Cloud Container Registry  </li><li>Reading: Kubernetes and Docker  </li><li>Practice Quiz: Hibernate and Other Databases </li><li>Reading: Module 3 Summary: Containers and Containerization </li><li>Reading: Module 3 Glossary: Containers and Containerization </li><li>Reading: Module 3 Graded Quiz: Containers and Containerization </li></ul><div> </div><div><strong>Module 4: DevOps and CI/CD</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to DevOps and CI/CD  </li><li>Video: Definition of DevOps  </li><li>Reading: Essential Characteristics of DevOps  </li><li>Video: Test Driven Development  </li><li>Video: Behavior Driven Development (BDD)  </li><li>Video: What Is CI/CD?  </li><li>Video: Benefits of CI  </li><li>Video: Tools for DevOps  </li><li>Reading: DevOps Tools Categories and Their Available Tools  </li><li>Reading: Introduction to Tekton and Pipelines  </li><li>Lab: CI/CD in Action  </li><li>Video: Everyone is Responsible for Success  </li><li>Practice Quiz: DevOps and CI/CD </li><li>Reading: Module 4 Summary: DevOps and CI/CD </li><li>Reading: Module 4 Glossary: DevOps and CI/CD </li><li>Reading: Module 4 Graded Quiz: DevOps and CI/CD </li></ul><div> </div><div><strong>Module 5: Agile and Scrum</strong> </div><ul><li>Video: Introduction to Agile Development and Scrum  </li><li>Video: Agile Principles  </li><li>Video: Scrum Overview  </li><li>Video: Destination Unknown  </li><li>Video: Agile Roles and the Need for Training  </li><li>Video: Creating Good User Stories  </li><li>Video: Effectively using Story Points  </li><li>Video: Building the Product Backlog  </li><li>Video: How to Sprint </li><li>Lab: Get Set Up in GitHub  </li><li>Lab: Assemble your Product Backlog using GitHub  </li><li>Reading: Agile Success Stories: Microsoft and Spotify  </li><li>Practice Quiz: Agile and Scrum </li><li>Reading: Module 5 Summary: Agile and Scrum </li><li>Reading: Module 5 Glossary: Agile and Scrum </li><li>Reading: Module 5 Graded Quiz: Agile and Scrum </li></ul><div> </div><div><strong>Module 6: Guided Project and Final Assessment</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Final Exam  </li><li>Reading: Project Overview </li><li>Final Project </li></ul><div> </div><div><strong>Module 7: Course Wrap-Up </strong> </div><ul><li>Video: Course Wrap-up  </li><li>Reading: Course Glossary  </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Course Rating and Feedback </li></ul>
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Cloud Native Fundamentals: Microservices, Containers, DevOps

Build hands-on skills in cloud-native development, microservices, and DevOps using Docker, CI/CD, and Agile to deploy scalable, real-world applications. 

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  <div>Ready to boost your Java programming skills using Spring Framework, Spring Boot, and RESTful APIs? This course helps you build real-world web applications using Java development tools like Spring Security and Spring MVC, giving you hands-on experience that employers look for in back-end development, web application engineering, and Java programming roles. </div><div> </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Build job-ready skills in the Spring Framework and master the Spring ecosystem and its advanced architectural components in just 4 weeks </li><li>Build RESTful APIs using Spring Boot for scalable applications </li><li>Develop Java applications with robust security measures using Spring Security </li><li>Gain hands-on experience through labs on Rest APIs, Web forms, authentication, authorization, and role-based access control  </li></ul><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>Over 60% of Java developers use the Spring Framework to build enterprise-level applications. With its powerful features and extensive ecosystem, Spring is a vital tool in Java development. This course explores the Spring Framework and its core components and guides you through setting up your development environment using Spring Initializr.   </div><div> </div><div>During this course, you’ll learn how to develop robust applications using Spring Boot, master RESTful APIs, and build dynamic web applications with Spring MVC. </div><div> </div><div>You’ll discover how to configure controllers, utilize annotations, and efficiently build REST APIs. You’ll explore Spring MVC to create interactive web applications with Thymeleaf templates and seamlessly handle forms. Plus, you’ll learn how to secure your applications using Spring Security. </div><div> </div><div>This course emphasizes practical experience with numerous hands-on labs throughout the course on various topics, including REST APIs, Web forms, authentication, authorization, and role-based access control. Plus, you’ll complete a final project where you’ll create a secure online quiz application.  </div><div> </div><div>If you’re looking to develop the skills to build powerful and secure Java applications using the Spring Framework, enroll today and power up your resume with the skills employers need!  </div><div> </div><div><strong>Prerequisites</strong>  </div><div> </div><div>This course is recommended for budding and experienced software developers who want to build scalable software applications using the Spring framework in Java. Basic understanding of Java programming, including object-oriented principles, is recommended. </div><div> </div><div><strong>Related</strong><em> </em><strong>Professional Certificate</strong>  </div><div> </div><div>This course is part of the <strong>IBM Java Developer Professional Certificate</strong>. If you’re looking to build job-ready skills in Java development, we recommend you enrol in the full PC and work through the courses in order. Within a short period, you’ll gain hands-on experience in deploying Java applications using industry-standard practices, design patterns, and cloud-native technologies.  </div><div> </div><div><strong>Course Syllabus</strong>  </div><div> </div><div>The course consists of the following modules: </div><div> </div><div><strong>Module 0: Welcome </strong> </div><ul><li>Video: Course Introduction  </li><li>Reading: Course Overview </li><li>Reading: How to Make the Most of this Course </li></ul><div> </div><div><strong>Module 1: Introduction to Spring Framework </strong> </div><ul><li>Video: Overview of Spring Framework and Its ecosystem  </li><li>Video: Exploring Essential Spring Concepts  </li><li>Video: Exploring IntelliJ Features </li><li>Reading: How IntelliJ Supports the Spring Framework </li><li>Lab: Installing IntelliJ </li><li>Lab: Configure and Setup IntelliJ IDE for Spring  </li><li>Video: Learning Sprint Annotations </li><li>Video: Using Maven with Spring  </li><li>Video: Defining Spring Projects </li><li>Lab: Create Your First Spring Project  </li><li>Demo Video: Using Spring Initializr  </li><li>Practice Quiz: Spring Framework Fundamentals </li><li>Reading: Summary and Highlights: Introduction to Spring Framework </li><li>Reading: Code Cheat Sheet: Introduction to Spring Framework </li><li>Graded Quiz: Introduction to Spring Framework </li></ul><div> </div><div><strong>Module 2: Deep Dive Into Spring Boot </strong> </div><ul><li>Video: Introduction to Spring Boot  </li><li>Reading: Using Spring Initializr for Spring Boot  </li><li>Lab: Generating a Spring Boot Project Using Spring Initializr </li><li>Video: Understanding Spring Boot Structure </li><li>Video: Creating a Spring Boot Application </li><li>Video: Managing a Spring Boot Application </li><li>Lab: Create a Spring Boot Project  </li><li>Reading: Embedded Servers in Spring </li><li>Video: Creating REST API Using Spring Boot </li><li>Reading: Java Streams in Spring Operations </li><li>Lab: Create Your First REST API with Spring Boot </li><li>Video: Using Annotations, Controllers, and Properties </li><li>Video: Explaining REST API Versioning </li><li>Video: Sending and Receiving Data Using REST API Parameters  </li><li>Lab: Add interactivity to REST API  </li><li>Reading: Understanding REST API status codes  </li><li>Practice Quiz: Building REST API with Spring Boot  </li><li>Reading: Summary and Highlights: Deep Dive Into Spring Boot </li><li>Reading: Code Cheat Sheet: Deep Dive Into Spring Boot </li><li>Graded Quiz: Deep Dive Into Spring Boot  </li></ul><div> </div><div><strong>Module 3: Understanding Spring MVC and Security </strong> </div><ul><li>Video: Introduction to Spring MVC  </li><li>Video: Getting Started with Spring MVC using Spring Boot  </li><li>Lab: Creating a Spring MVC Project  </li><li>Video: Templating Using Thymeleaf </li><li>Video: Form Manipulation Using Spring MVC  </li><li>Lab: Develop an Interactive Spring MVC Form  </li><li>Reading: Handling File Upload with Spring MVC and Spring Boot </li><li>Video: Overview of Spring Security  </li><li>Video: Authentication and Authorization in Spring </li><li>Lab: Secure an Endpoint with Spring Security  </li><li>Video: Form-Based Security Using Spring Security </li><li>Lab: Creating a Login Form  </li><li>Reading: Role-Based Access Control (RBAC) </li><li>Practice Quiz: Secure Applications with Spring Security  </li><li>Reading: Summary and Highlights: Understanding Spring MVC and Security  </li><li>Reading: Coding Cheat Sheet: Understanding Spring MVC and Security  </li><li>Graded Quiz: Understanding Spring MVC and Security  </li></ul><div> </div><div><strong>Module 4: Final Exam, Final Project, and Course Wrap-Up</strong> </div><ul><li>Final Exam: Java Programming: Spring Framework </li><li>Reading: Final Project Overview  </li><li>Final Project: Secure Online Quiz application  </li><li>Final Project Submission </li><li>Video: Course Wrap-Up  </li><li>Reading: Course Glossary  </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li></ul>
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Java Programming: Spring Framework

Gain practical experience with Java and the Spring ecosystem by developing RESTful APIs and secure web applications using Spring Boot and Spring Security. 

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  <div><br /><br />Build beautiful, high-performance apps for iOS and Android using one of the most in-demand mobile frameworks in the world—Flutter. <br /><br /></div><ul><li>Create fully functional mobile apps and publish them to the App Store and Google Play </li><li>Use Flutter widgets, layouts, routing, and navigation for cross-platform UI design </li><li>Write, debug, and manage Dart code, libraries, and functions for app logic </li><li>Connect your app to APIs and use Firebase, Google Analytics, and local storage </li><li><strong><br />Course Overview</strong> <br /><br />According to Statista, <strong>Flutter is the most widely used cross-platform mobile framework among global developers</strong>, with over 46% adoption. As companies seek mobile developers who can build once and deploy everywhere, Flutter and Dart skills are in high demand. This course equips aspiring developers, career switchers, and tech enthusiasts with the essential tools and techniques to build, test, and deploy apps using Flutter. <br /><br />Mobile app developers use frameworks like Flutter to rapidly prototype and deliver production-ready applications for multiple platforms from a single codebase. With the skills gained in this course, learners will be able to build engaging user experiences, manage app state, connect to APIs, and publish apps on the App Store and Google Play. </li><li><br /></li><li>You’ll begin by learning the basics of Flutter, its development toolchain, and how it compares to other mobile frameworks. Next, you’ll dive deep into Dart—the programming language that power Flutter—and learn how to work with variables, classes, functions, libraries, and debugging tools. <br />Then, you’ll build your first Flutter apps using widgets, layouts, forms, and routing. Advanced lessons introduce state management, plugins, persistent storage, Firebase integration, and analytics. You’ll also learn how to prepare and publish your apps, and optimize them using Google Analytics. <br /><br />The course includes hands-on labs and a final project where you will create and publish your own Flutter app. Along the way, you'll build a portfolio of work that demonstrates your ability to use Flutter in real-world scenarios. <br /><br />This course is an excellent resume booster for anyone looking to break into mobile development, freelance, or launch their own apps. <strong>Enroll now to gain job-ready Flutter and Dart skills in just a few weeks!</strong> </li><li><strong><br />Prerequisites</strong> <br /><br />This is a <strong>beginner-friendly course</strong> designed for learners with some exposure to programming. <br /> To succeed, you should have: <ul><li>Basic knowledge of programming concepts (e.g., variables, functions, OOP) </li><li>Experience using an IDE or code editor </li><li>A laptop or desktop (Windows, macOS, or Linux) with internet access to install Flutter and related tools </li></ul></li><li><strong>Related Professional Certificates</strong> <br /><br />This course is part of the <strong>IBM iOS and Android Mobile App Developer Professional Certificate</strong>. <br /> By completing this course and others in the program, you’ll be prepared for roles such as: <br /><br /><ul><li>Mobile App Developer (iOS/Android) </li><li>Flutter Developer </li><li>Cross-Platform App Developer </li><li>Junior Software Engineer <br /><strong><br /><br />Course Syllabus</strong> <br /><strong><em><br />Module 0: Welcome</em></strong><em> </em><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: Helpful Tips for Course Completion </li></ul></li><li><strong><em><br />Module 1: Introduction to Flutter and Dart</em></strong><em> <br /></em><br /><ul><li>Videos: Overview of Flutter, SDK and Tools, Dart Basics </li><li>Expert Viewpoints: Getting Started with Flutter </li><li>Lab: Create a Flutter Web Hello World App </li><li>Quiz and Summary </li></ul></li><li><strong><em><br />Module 2: Exploring Dart Language</em></strong><em> <br /></em><br /><ul><li>Videos: Dart internals, variables, functions, classes, libraries </li><li>Lab: Use Dart in Cloud IDE </li><li>Video: Command Line and Debugging Tools </li><li>Reading: Editors and Debuggers </li><li>Quiz and Summary </li></ul></li><li><strong><em><br />Module 3: Working with Flutter</em></strong><em> <br /></em><br /><ul><li>Videos: Flutter development process, widgets, UI design, forms, routing </li><li>Labs: Layouts, navigation, basic app building </li><li>Expert Viewpoints: UI/UX in Flutter </li><li>Quiz and Summary </li></ul></li><li><strong><em><br />Module 4: Advanced Flutter</em></strong><em> <br /></em><br /><ul><li>Videos: Native features, state management, APIs, plugins, persistence </li><li>Labs: Call APIs, explore Firebase, store data locally </li><li>Quiz and Summary </li></ul></li><li><strong><em><br />Module 5: Final Project</em></strong><em> <br /></em><br /><ul><li>Videos: App publishing process, app stores, analytics </li><li>Labs: Submit app drafts, integrate Google Analytics </li><li>Projects: Practice (Expense Tracker) and Final (Time Tracker) </li><li>Peer Review and Wrap-Up </li></ul></li><li> </li></ul></li><li><br /><br /><br /></li></ul>
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Developing Flutter Apps for iOS and Android

Build mobile apps for iOS and Android with Flutter and Dart. Learn cross-platform development, state management, Firebase integration, and app publishing.

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  <div>Want to boost your job prospects in mobile app development? This capstone course helps you build a real-world mobile app using Flutter or React Native, giving you hands-on experience that hiring managers look for in mobile developers.  <br /><br /></div><h1><strong><em>What you will learn:</em></strong>  </h1><ul><li>Gain practical experience designing a mobile app from scratch in a portfolio-worthy capstone project you can showcase to employers.  </li><li>Set up a GitHub repository, write user stories, and create intuitive UI/UX designs using Figma.  </li><li>Build core app features with Flutter or React Native, including authentication, navigation, detail views, local storage, and real-time data integration via APIs.  </li><li>Enhance user experience with settings and notifications, and apply strategies for app publishing and marketing.  </li></ul><h1><strong>Course overview</strong>  </h1><div>This capstone course is ideal for aspiring developers who are ready to apply their skills in a real-world project. You’ll build a mobile app using Flutter or React Native you can showcase in your portfolio and talk about in interviews.  <br /><br /></div><div>You’ll also get hands-on in tasks like mobile UI/UX design, state management, API integration, and user engagement—all vital for professional app development capabilities employers look for.  <br /><br /></div><div>As you work through the modules, you’ll build a mobile app from the ground up. You’ll set up a GitHub repo, write user stories, design interfaces in Figma, and implement key features like authentication, navigation, data persistence, notifications, and custom settings.  <br /><br /></div><div>With this step-by-step project, you’ll gain practical experience that mirrors real development workflows. So that by the end, you’ll have a fully functional app to showcase in interviews.  <br /><br />Enroll now to sharpen your skills, build your portfolio, and prove your job-readiness in just six weeks!  <br /><br /><strong>Prerequisites</strong>  <br /><br />This advanced course is intended for learners who have completed the preceding courses in <strong>the IBM iOS and Android Mobile App Developer Professional Certificate</strong>. Learners should be familiar with HTML, CSS, JavaScript, Git, GitHub, Figma, and have working knowledge of React Native or Flutter.   <br /><br /><strong>Related professional certificate</strong>  <br /><br />This course is included in the <strong>IBM iOS and Android Mobile App Professional Certificate</strong>. If you're looking to build mobile development skills for both iOS and Android through hands-on practice, we suggest enrolling in the full program and progressing through the courses in sequence. In just a few months, you’ll gain job-ready skills and real-world experience that stand out to employers. <br /> </div><h1><strong>Course</strong> <strong>Syllabus</strong></h1><div><strong>Welcome </strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Course Strategy</li></ul><div><strong>Module 1: User Stories and UI/UX </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Project Overview</li><li>Video: [Option A]: Demo of the Flutter Project </li><li>Video: [Option B]: Demo of the React Native Project </li><li>Lab: Setting Up the Git Environment</li><li>Reading: Tasks Overview (Develop User Stories)</li><li>Optional Lab A [Flutter]: Develop User Stories for Flutter</li><li>Optional Lab B [React Native]: Develop User Stories for React Native</li><li>Required Lab: Develop User Stories</li><li>Optional Lab A [Flutter]: Create UX Wireframes in Figma for Flutter</li><li>Optional Lab B [React Native]: Create UX Wireframes in Figma for React Native</li><li>Required Lab: Create UX Wireframes in Figma</li><li>Practice Quiz: Checklist: User Stories and UI/UX</li><li>Graded Quiz: User Stories and UI/UX [Flutter] </li><li>Graded Quiz: User Stories and UI/UX [React Native] </li></ul><div><strong>Module 2: Implement Home and Detail Screens </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Tasks Overview (Create Login and Registration Screens)</li><li>Optional Lab A [Flutter]: Create Login and Registration Screens in Flutter</li><li>Optional Lab B [React Native]: Create Login and Registration Screens in React Native</li><li>Required Lab: Create Login and Registration Screens</li><li>Reading: Tasks Overview (Create a Home Screen )</li><li>Optional Lab A [Flutter]: Create a Home Screen in Flutter</li><li>Optional Lab B [React Native]: Create a Home Screen in React Native</li><li>Required Lab: Create a Home Screen</li><li>Tasks Overview (Create a Details Screen )</li><li>Optional Lab A [Flutter]: Create a Details Screen in Flutter</li><li>Optional Lab B [React Native]: Create a Details Screen in React Native</li><li>Required Lab: Create a Details Screen</li><li>Practice Quiz: Checklist: Implement Home and Details Screens</li><li>Graded Quiz: Implement Home and Detail Screens [Flutter] </li><li>Graded Quiz: Implement Home and Detail Screens [React Native] </li></ul><div><strong>Module 3: Data Persistence and APIs </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Tasks Overview (Integrate Persistence )</li><li>Optional Lab A [Flutter]: Integrate Persistence in Flutter</li><li>Optional Lab B [React Native]: Integrate Persistence in React Native</li><li>Required Lab: Integrate Persistence</li><li>Reading: Tasks Overview (Integrate an External API)</li><li>Optional Lab A [Flutter]: Integrate an External API in Flutter</li><li>Optional Lab B [React Native]: Integrate External API in React Native</li><li>Required Lab: Integrate External API</li><li>Practice Quiz: Checklist: Data Persistence and APIs</li><li>Graded Quiz: Data Persistence and APIs [Flutter] </li><li>Graded Quiz: Data Persistence and APIs [React Native] </li></ul><div><strong>Module 4: Setting Screens </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Tasks Overview  (Implement Settings Menu)</li><li>Optional Lab A [Flutter]: Implement Settings Menu in Flutter</li><li>Optional Lab B [React Native]: Implement Settings Menu in React Native</li><li>Required Lab: Implement Settings Menu Submission</li><li>Reading: Task Overview (Implement Settings Screen)</li><li>Optional Lab A [Flutter]: Implement Settings Screen in Flutter</li><li>Optional Lab B [React Native]: Implement Settings Screen in React Native</li><li>Required Lab: Implement Settings Screen Submission</li><li>Practice Quiz: Checklist: Setting Screens</li><li>Graded Quiz: Setting Screens [Flutter] </li><li>Graded Quiz: Setting Screens [React Native] </li></ul><div><strong>Module 5: Notifications, Publishing, and Marketing </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Tasks Overview (Implement Notifications in Flutter)</li><li>Optional Lab A [Flutter]: Implement Notifications in Flutter</li><li>Optional Lab B [React Native]: Implement Notifications in React Native</li><li>Required Lab: Implement Notifications Submission</li><li>Tasks Overview (Prepare to Publish)</li><li>Optional Lab A [Flutter]: Prepare to Publish in Flutter</li><li>Optional Lab B [React Native]: Prepare to Publish in React Native</li><li>Required Lab: Draft a Marketplace Listing</li><li>Lab: Publish and Market Your App </li><li>Practice Quiz: Checklist: Notifications, Publishing, and Marketing</li><li>Graded Quiz: Notifications, Publishing, and Marketing [Flutter] </li><li>Graded Quiz: Notifications, Publishing, and Marketing [React Native] </li></ul><div><strong>Module 6: Final Project Submission and Evaluation </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Prepare to Submit Your Project</li><li>Final Project Submission and Evaluation </li></ul><div><strong>Course Wrap-Up </strong></div><ul><li>Congratulations and Next steps</li><li>Team and Acknowledgments</li></ul><div><strong>Course Rating and Feedback </strong></div><ul><li>Course Rating and Feedback</li></ul><div><strong>[Bonus] Portfolio Development and Job Guidance</strong></div><ul><li>Video: Build Your Portfolio </li><li>Reading: Update your Portfolio and Resume</li><li>Video: Job Search and Interview Guidance </li><li>Reading: Job Hunting and Applying</li></ul>
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Mobile App Development: Capstone Project

Build a portfolio-ready mobile app using Flutter or React Native. Showcase your skills in Figma, GitHub, user stories, navigation, notifications, and APIs. 

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  <div><strong>Building AI apps that actually work together is harder than it looks. <br /></strong><br /></div><div>Most developers get stuck trying to make multiple AI agents coordinate properly - one agent's output becomes gibberish to the next, workflows break down, and what should be intelligent systems end up being frustrating messes. Sound familiar? This hands-on project cuts through the complexity and shows you the proven patterns that actually work for building multi-agent AI systems.<br /><br /></div><div><strong>You'll learn the three workflow patterns that power every sophisticated AI application you've ever used.</strong> Through real examples like smart job application helpers, automatic task routers, and lightning-fast translation systems, you'll see exactly how to make AI agents work together seamlessly. We'll walk you through Sequential Agent Coordination (where agents build on each other's work), Intent-Based Routing (smart systems that know where to send requests), and Parallel Agent Execution (getting multiple agents working at once) using LangGraph and LangChain.<br /><br /><br /></div><div><strong>You'll build actual working systems, not just toy examples.</strong> By the time you're done, you'll have hands-on experience creating AI workflows that can handle real complexity. You'll know when to use each pattern, how to make agents communicate properly, and most importantly - how to build systems that actually scale. No more wondering how those impressive AI demos actually work under the hood.</div><div><br /><br /></div><h1><strong>What You'll Learn</strong></h1><div><br /> By the end of this project, you'll be able to:</div><ul><li>Build AI systems where multiple agents actually work together (instead of fighting each other)</li><li>Create smart routing that automatically figures out what users want and sends them to the right place</li><li>Set up parallel processing so your AI can handle multiple tasks simultaneously</li><li>Design workflows that chain agents together for complex, multi-step processes</li><li>Make agents communicate through proper state management (no more broken telephone)</li><li>Build production-ready systems that can handle real-world messiness</li><li>Know which pattern to use when (and avoid the common mistakes that break everything)</li></ul><div><br /></div><h1><strong>Who should take this:</strong></h1><div><br /></div><div>This is perfect if you're:</div><ul><li>An AI developer tired of building basic chatbots and ready for something more sophisticated</li><li>A software engineer who wants to understand how modern AI applications actually work</li><li>A data scientist looking to move beyond notebooks into real applications</li><li>A backend developer who needs to integrate AI workflows into existing systems</li><li>Anyone with some Python experience who's curious about building AI that feels truly intelligent</li></ul><div><br /></div><h1><strong>What you'll need</strong> :</h1><div><br /></div><ul><li>Basic Python skills (if you can write functions and use APIs, you're good)</li><li>Some familiarity with AI/LLMs (you don't need to be an expert)</li><li>A web browser for the labs</li><li>Curiosity about how sophisticated AI systems actually work</li></ul><div><strong>Why this matters</strong> Real AI applications aren't just single models - they're orchestrated systems where multiple agents work together intelligently. Companies are moving fast from "AI experiments" to "AI in production," and they need people who can build systems that actually work reliably. Learning these patterns gives you the foundation to build AI applications that feel genuinely intelligent, scale properly, and solve real problems instead of just being impressive demos.</div><div><br /><br /><br /><br /><br /><br /></div><div><br /></div>
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Agentic AI Workflow Design Patterns with LangGraph

Master the three core Agentic AI design patterns in just one hour using cutting-edge frameworks like LangGraph and LangChain—tools that power today’s most advanced multi-agent systems. Learn Sequential Agent Coordination for step-by-step workflows, Intent-Based Routing for intelligent task distribution, and Parallel Agent Execution for efficient, concurrent processing. With these frameworks, you'll build real-world AI applications such as job application assistants, customer support agents, research copilots, intelligent data routers, and multilingual AI translators. 

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  <div>With the explosive growth of AI applications in healthcare, finance, and critical decision-making, the need for reliable, self-improving AI systems has never been greater. This guided project teaches you to build a Reflexion Agent—a breakthrough approach that transforms simple language models into sophisticated, self-aware systems capable of continuous improvement. Unlike traditional chatbots that provide single responses, Reflexion Agents embody the scientific method: they generate hypotheses, critique their own reasoning, identify knowledge gaps, and actively seek evidence to refine their answers.<br /><br /></div><div>You'll build a specialized nutritional advisor that demonstrates this powerful approach. The agent takes on the persona of a controversial nutrition expert, providing initial advice, then stepping back to critically evaluate its own response. It identifies what information might be missing or unnecessary, generates targeted research queries, and uses web search tools to gather current evidence. Finally, it synthesizes this new information into a revised, more comprehensive answer complete with citations and references.<br /><br /></div><h1><strong>What You'll Learn</strong></h1><div>By the end of this project, you will be able to:</div><ul><li><strong>Implement the Reflexion framework</strong>: Master the core technique that enables AI agents to self-critique and iteratively improve their responses, a crucial skill for building reliable AI systems.</li><li><strong>Design sophisticated agent workflows</strong>: Use LangGraph to create complex, cyclical processes where agents can loop through reflection, research, and revision until reaching satisfactory conclusions.</li><li><strong>Structure AI outputs with Pydantic</strong>: Learn to enforce specific response formats that ensure agents provide structured self-critiques, search queries, and evidence-based revisions.</li><li><strong>Integrate external knowledge sources</strong>: Connect agents to real-time information through web search APIs, enabling them to access current research and evidence beyond their training data.</li><li><strong>Build production-ready agent architectures</strong>: Create robust systems with proper error handling, iteration limits, and structured data flows that can scale to enterprise applications.</li></ul><h1><strong>Who Should Enroll</strong></h1><ul><li><strong>AI/ML Engineers</strong> building production systems who need to ensure their agents provide reliable, evidence-based responses rather than hallucinated or outdated information. This project teaches essential patterns for creating trustworthy AI systems.</li><li><strong>Data Scientists</strong> working in healthcare, finance, or research domains where AI recommendations must be backed by evidence and subject to rigorous validation processes.</li><li><strong>Product Managers and Technical Leaders</strong> who need to understand the architecture behind next-generation AI systems and how to build agents that can be trusted with critical decision-making.</li><li><strong>Developers</strong> with LLM experience who want to move beyond simple prompt engineering to sophisticated agent architectures that can handle complex, multi-step reasoning tasks.</li></ul><h1><strong>Why Enroll</strong></h1><div>This project teaches you to build AI systems that embody intellectual rigor—a critical skill as AI moves into high-stakes applications. You'll learn the Reflexion framework, which is rapidly becoming the gold standard for reliable AI agents in production environments. The techniques you'll master—structured self-critique, evidence gathering, and iterative improvement—are foundational to creating AI systems that can be trusted with important decisions. By the end, you'll have both a working agent and the architectural patterns needed to build sophisticated AI systems that continuously improve their performance through self-reflection.<br /><br /></div><h1><strong>What You'll Need</strong></h1><div>To follow along with this guided project, you should have intermediate Python experience and familiarity with LangChain or similar LLM frameworks. Basic understanding of prompt engineering and API integrations will be helpful. You'll need a Tavily API key for web search functionality (free tier available). All code runs in Jupyter notebooks with pre-configured environments. The platform works best with current versions of Chrome, Edge, Firefox, or Safari.</div>
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Reflexion Agent 101

LangGraph ReAct agents: end the era of unreliable AI responses. Build nutritional advisors that actively research, critique, and improve their answers through systematic self-reflection using the powerful Reflexion framework. Learn to create AI systems that don't just respond but iterate, validate, and refine their expertise like human professionals who double-check their work before giving advice.

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  <div>With the rise of sophisticated AI applications and the growing demand for intelligent automation, we now have powerful frameworks like ReAct that enable us to build AI agents that truly think and act. This guided project explores how to use the ReAct (Reasoning + Acting) framework to create intelligent agents that solve complex problems through structured thinking, tool usage, and adaptive learning. Instead of building static chatbots that only respond to queries, we'll construct dynamic AI systems that reason through problems step-by-step, gather information using external tools, and adapt their approach based on intermediate results—enabling sophisticated problem-solving that mirrors human cognitive processes.<br /><br /></div><h1><strong>What You'll Learn</strong> </h1><div>By the end of this project, you will be able to:</div><ul><li><strong>Build intelligent AI agents using ReAct</strong>: Learn how to implement the Reasoning + Acting framework to create agents that think through problems systematically, use external tools like search engines and calculators, and adapt their approach based on results.</li><li><strong>Design robust tool integration systems</strong>: Master the art of creating and integrating custom tools that extend your agent's capabilities, from web search and mathematical calculations to domain-specific functions tailored to your use case.</li><li><strong>Implement stateful conversation management</strong>: Understand how to maintain context across multi-step reasoning processes, ensuring your agent can build upon previous interactions and maintain coherent problem-solving sessions.</li><li><strong>Create transparent reasoning systems</strong>: Build AI agents that explain their thinking process, making their decision-making transparent and trustworthy for users who need to understand how solutions are reached.</li></ul><h1><strong>Who Should Enroll</strong></h1><ul><li><strong>AI/ML Engineers</strong> with 1-3 years of experience looking to advance beyond basic model deployment into sophisticated agent architecture. This project will teach you how to build production-ready intelligent systems that can handle complex, multi-step problems in real-world applications.</li><li><strong>Software Developers</strong> transitioning into AI who want to understand how to build intelligent systems that go beyond simple API calls. You'll learn to architect agents that can reason, plan, and execute complex workflows autonomously.</li><li><strong>Technical Product Managers</strong> who need to understand the capabilities and limitations of intelligent agents. This hands-on experience will give you the technical depth to make informed decisions about AI system design and implementation.</li><li><strong>Research Scientists</strong> working on AI applications who want to implement state-of-the-art reasoning frameworks in their projects. The ReAct approach represents cutting-edge research in AI agent design, applied to practical problems.</li></ul><h1><strong>Why Enroll</strong> </h1><div>This project bridges the gap between theoretical AI knowledge and practical intelligent system development, giving you hands-on experience with one of the most powerful frameworks for building reasoning agents. You'll learn to create AI systems that don't just process information but actively solve problems, gathering data, reasoning through complex scenarios, and taking meaningful actions. The skills you develop—agent architecture, tool integration, state management, and reasoning system design—are foundational to the next generation of AI applications and highly sought after in the industry. By the end, you'll have both a working intelligent agent and the architectural knowledge to build sophisticated AI systems that can tackle real-world challenges with human-like reasoning capabilities.<br /><br /></div><h1><strong>What You'll Need</strong> </h1><div>To follow along with this guided project, you should have a solid understanding of Python programming and familiarity with AI/ML concepts. Experience with language models and APIs will be helpful, but not required. All necessary dependencies and tools are provided in the development environment. The platform works best with current versions of Chrome, Edge, Firefox, or Safari.</div><div><br /></div>
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Build a Simple ReAct Agent from Scratch

Learn to build intelligent AI agents using the ReAct framework. Develop reasoning systems with tool integration and adaptive behavior for complex problem solving. This guided project covers structured thinking, external tool use, and context management. Ideal for AI/ML engineers, developers, and technical PMs seeking to move beyond static chatbots. Gain hands-on experience in creating agents that reason, plan, and act across tasks—equipping you with practical skills in agent architecture and next-gen AI design.

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  <div>Traditional language models often struggle with complex, multi-step reasoning tasks because they attempt to solve problems in a single pass. This guided project introduces you to ReAct (Reasoning and Acting)—a powerful framework that transforms how AI agents approach problem-solving by combining deliberate thinking with purposeful action.<br /><br /></div><div>Through hands-on implementation, you'll build a complete ReAct agent that tackles problems through a structured, iterative process. Unlike conventional approaches, ReAct agents alternate between reasoning about what they know, taking appropriate actions to gather information, observing results, and continuing to reason until they reach a solution. This methodical approach dramatically improves reliability, transparency, and overall performance on complex tasks.<br /><br /></div><div>Using LangGraph and LangChain, you'll create a complete ReAct agent architecture with custom tools for web searching, text analysis, and processing. You'll learn to structure prompts that guide the model's reasoning, define state management for tracking progress, and build a workflow graph that implements the full ReAct cycle. By the end of this project, you'll have a functional agent that can handle real-world queries requiring multiple reasoning and action steps.<br /><br /></div><h1><strong>What you'll learn</strong></h1><div>After completing this project, you will be able to:</div><ul><li><strong>Implement the complete ReAct framework</strong> using LangGraph and LangChain</li><li><strong>Design specialized tools</strong> for your AI agents to interact with external systems</li><li><strong>Structure effective reasoning prompts</strong> that guide models through complex problem-solving</li><li><strong>Build graph-based workflows</strong> that implement the reasoning-acting-observing cycle</li><li><strong>Debug and trace</strong> agent reasoning processes to improve reliability</li><li><strong>Apply ReAct patterns</strong> to create more capable AI assistants for real-world applications</li></ul><div><br /></div><h1><strong>Who should enroll</strong></h1><div>This project is perfect for:</div><ul><li><strong>AI developers</strong> looking to create more reliable, reasoning-based agent systems</li><li><strong>NLP practitioners</strong> interested in improving how language models tackle complex tasks</li><li><strong>Software engineers</strong> wanting to implement structured reasoning in their AI applications</li><li><strong>Technical professionals</strong> seeking to understand and apply advanced AI agent architectures</li></ul><div><br /></div><h1><strong>What you'll need</strong></h1><div>Before beginning this guided project, you should have:</div><ul><li>Basic understanding of Python programming</li><li>Familiarity with language models and prompt engineering concepts</li><li>Access to a modern web browser for the IBM Skills Network Labs environment</li></ul><div><br /></div><h1><strong>Why enroll</strong></h1><div>The ReAct approach represents a significant advancement in how AI agents solve problems. By completing this project, you'll gain practical experience implementing agents that don't just generate responses, but think through problems step-by-step, take actions to gather information, and refine their understanding before providing answers. This methodology produces dramatically more reliable, transparent, and capable AI assistants across a wide range of applications—from information retrieval and analysis to complex problem-solving and decision-making scenarios. These skills are increasingly valuable as organizations seek to deploy more sophisticated AI solutions that users can trust and understand.</div>
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Build Reasoning and Acting AI Agents with ReAct

Create intelligent agents that combine step-by-step reasoning with targeted actions using the ReAct framework. Learn to build AI systems that can break down complex queries, search for information, analyze results, and take appropriate actions to solve problems. This project teaches you to implement the complete ReAct cycle in LangGraph where agents think before they act, observe outcomes, and refine their approach. In 45 minutes, master techniques for developing more reliable and transparent AI assistants capable of multi-step problem solving.

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  <h1>Implement AI Self-Improvement with Reflexion Agents</h1><div>Learn to build an AI system that doesn't just generate responses but actively critiques and refines its own output—just like an actor perfecting a performance based on critical feedback. The ability to self-improve is a game-changer in AI, enabling systems to produce higher-quality, research-backed, and dynamically evolving responses. In this guided project, you'll explore the Reflexion architecture, a powerful framework that enables AI agents to continuously enhance their performance through structured feedback loops.</div><div>This project is perfect for AI developers, researchers, and anyone interested in building self-improving AI systems. You'll learn how to develop a Reflexion agent that evaluates its own responses, integrates external tools for fact-checking, and iterates until it achieves optimal accuracy. Whether you're working on customer service chatbots, research assistants, or decision-support systems, mastering this technique will help you create AI solutions that evolve and improve over time.  <br />  </div><h1>What You'll Learn</h1><div>By the end of this project, you will be able to:</div><ul><li>Understand Reflexion agents and how they improve AI-generated responses.</li><li>Build a production-ready Reflexion agent that refines its outputs based on structured feedback.</li><li>Develop multi-step AI workflows with LangGraph that integrate self-critique mechanisms for continuous learning.</li><li>Incorporate external validation tools to enhance factual accuracy and research-backed responses.</li><li>Optimize AI decision-making with graph-based workflows and structured improvement loops.</li><li>Ensure robustness with error handling, schema validation, and iteration limits.</li></ul><div>Whether you're aiming to enhance AI reliability, create intelligent chatbots, or optimize decision-support systems, this project will equip you with state-of-the-art AI self-improvement techniques.<br />  </div><h1>What You'll Need</h1><div>To get started, make sure you have:</div><ul><li>Basic knowledge of AI and machine learning concepts.</li><li>Familiarity with programming, especially Python.</li><li>A web browser (Chrome, Edge, Firefox, Safari, or Internet Explorer).</li></ul><h1>Ready to Build Smarter AI?</h1><div>Start now and create a self-improving AI agent that delivers more accurate, research-backed, and dynamically refined responses. In under one hour, you’ll unlock a powerful approach to AI-driven problem-solving and automation—a must-have skill for the future of AI development! 🚀</div><div><br /></div>
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Build a Self-Reflective Deep Research Agent using LangGraph

Build an OpenAI's DeepResearch-like self-improving AI agent that critiques its responses using structured feedback and external search. This hands-on project covers research-backed validation, graph-based workflows, and intelligent decision-making to refine accuracy and efficiency. You'll explore self-critique, adaptive learning, and automated performance optimization to create an AI agent that handles complex, multi-step tasks with precision. Perfect for developers looking to develop reliable, high-quality AI responses with external tool integration and continuous refinement.

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  <div>Regular chatbots often get confused with complicated questions or give unpredictable replies. This can lead to poor customer experiences and missed opportunities to resolve issues effectively. Traditional approaches rely heavily on prompt tuning and still don’t guarantee consistent outputs, making it hard to trust AI in real business scenarios.</div><div><br />With PydanticAI, you can guide the AI to always respond in a clear, organized format — like assigning a ticket category, setting its urgency, and suggesting a helpful reply. By using schema-based validation, the chatbot only returns structured and meaningful data that you define ahead of time. This makes it much easier to process, store, and act on AI responses in your support system.</div><div><br />This project walks you through building a smart customer support chatbot using PydanticAI. You’ll learn how to turn free-text questions into structured responses, prioritize support tickets, and escalate important cases — all within a clean, easy-to-maintain Python setup. It’s perfect for developers who want to bring AI into customer service in a reliable and developer-friendly way.</div><div><br /></div><h1>A Look at the Project Ahead</h1><div>After completing this lab you will be able to:</div><ul><li>Understand the core concepts of AI agentic systems and their applications.</li><li>Learn how to use Pydantic for data modeling, validation, and serialization within agent frameworks.</li><li>Define and implement modular, structured AI agents using the Pydantic Agentic Framework.</li><li>Orchestrate multi-step reasoning and decision-making processes in agents.</li><li>Integrate external tools and APIs to enhance agent capabilities.</li><li>Design agents that are scalable, interpretable, and maintainable for real-world use cases.</li></ul><div><br /></div><h1>What You'll Need</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Learn PydanticAI By Building A Customer Support Agent

Build a customer support chatbot using the PydanticAI framework in this practical, hands-on project. Learn how to create schema-driven agents that can structure, validate, and manage real AI interactions. Designed to sharpen your applied AI skills, this project helps you build reliable, adaptive systems through real-world support scenarios—preparing you to build smarter AI tools and innovate confidently in the field of AI development. PydanticAI has one simple aim to bring that FastAPI feeling to GenAI app development.

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  <div>Imagine building an AI agent that doesn’t just respond with pre-trained knowledge—but <strong>thinks, reasons, and takes action</strong> using live data. That’s exactly the journey you’re about to embark on in this guided project.</div><div><br />You’ll start by diving into the world of <strong>LangChain</strong>, a framework designed to empower large language models with <strong>tool calling abilities</strong>. Paired with the enterprise-grade intelligence of <strong>IBM’s Granite models</strong> through <strong>watsonx.ai</strong>, you won’t just be working with static LLMs—you’ll be training your agent to interact with the world.</div><div>Your mission? To craft an agent that can:</div><ul><li><strong>Check the weather</strong> for any city in real-time,</li><li><strong>Search YouTube</strong> for relevant videos based on user prompts,</li><li>And even perform an <strong>iconic search</strong>, pulling context-rich information about public figures, places, and events.</li></ul><div>Each feature you build will feel like teaching your AI how to use a new sense—sight, memory, or intuition. And thanks to LangChain’s ReAct framework (Reasoning + Acting), your agent won’t just call these tools randomly. It will evaluate the problem, decide which tool is best suited, call it, interpret the result, and return a well-reasoned answer. Step by step, you’ll watch your agent evolve into a thoughtful assistant capable of chaining together multiple tools to solve complex queries—almost like a detective gathering clues before solving a case.</div><div><br /></div><h1>A Look at the Project Ahead</h1><div>After completing this lab you will be able to:<br /><br /></div><ul><li>Understand the concept of<strong> tool calling (function calling).</strong></li><li>Explain the purpose of the <strong>LangChain framework</strong></li><li>Implement a LangChain agent using <strong>Granite-3B-Instruct model.</strong></li><li>Integrate and configure <strong>prebuilt tools </strong>in LangChain</li></ul><div><br /></div><h1>What You'll Need</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Build a Multi-Tool AI Agent Using LangChain and IBM Granite

Agentic AI is very popular. Learn to build a responsive AI agent using LangChain’s tool calling with IBM's Granite model in 30 minutes. This beginner-friendly hands-on project guides you through combining key tools like live weather data fetchers, YouTube content handlers, and search utilities. Learn to design a multi-tool workflow that delivers dynamic, real-time outputs using LangChain and watsonx.ai. Ideal for developers seeking applied experience in orchestrating intelligent agents with LLMs and external APIs.

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  <h1>A Look at the Project Ahead</h1><div>After completing this guided project, you will be able to do:</div><ul><li>Learn Polars from scratch—ideal for beginners to advanced users.</li><li>Explore and clean real-world weather data efficiently.</li><li>Master key operations: filtering, sorting, grouping, and joining.</li><li>Use advanced techniques like rolling averages, ranking, and conditional logic.</li><li>Understand lazy vs. eager execution and optimize performance.</li><li>Gain hands-on practice with powerful, scalable data transformations.</li></ul><div>Polars is a high-performance DataFrame library built in Rust, engineered for speed, scalability, and efficient memory usage. With lazy evaluation and multi-threading at its core, Polars is ideal for handling large-scale datasets—making it a compelling alternative to traditional tools like Pandas. <br /><br />In this hands-on guided project, you'll learn how to use Polars to analyze real-world weather data through a progression of techniques, starting from beginner-friendly tasks like filtering rows, selecting columns, and basic aggregations. As you move forward, you'll dive into more advanced concepts such as creating conditional columns, handling missing values and outliers, and applying rolling window functions to observe temperature trends over time. You'll also explore powerful features like chained transformations using Polars’ expression API, time-based grouping, and ranking methods to uncover insights in the data.</div><div><br />In the latter half of the project, you'll master operations like joining multiple DataFrames, performing anti and outer joins, and horizontally concatenating datasets to enrich your analysis. The project wraps up with exercises and mini-challenges designed to reinforce your learning, making sure you gain both conceptual clarity and practical skills.</div><div><br />By the end, you'll be equipped to build fast, expressive, and scalable data pipelines using Polars—ready to apply them in real-world scenarios, whether you're working on analytics, reporting, or building production-grade systems.</div><div><br /></div><div><br /></div><h1>What You'll Need</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Polars 101: Efficient Data Handling That Outperforms Pandas

Polars is a fast and memory-efficient DataFrame library built in Rust, making it ideal for handling large-scale data. It uses lazy evaluation & multi-threading to outperform tools like Pandas in both speed and scalability. It supports expressive data transformations, scales effortlessly in production environments, and comes backed by robust documentation—making it a powerful choice for building efficient, modern data pipelines. You will analyse a real-world weather dataset and perform a variety of data manipulation tasks.

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  <div><br />Kickstart your journey into the world of mobile app development and discover how to turn your ideas into engaging mobile experiences. <br /><br /></div><ul><li>Build a strong foundation in mobile app platforms, tools, and development processes </li><li>Understand the differences between iOS, Android, and other operating systems </li><li>Explore languages, frameworks, and tools used in modern mobile development </li><li>Learn about career paths, team roles, and future trends in mobile technology </li></ul><div> </div><div><strong><em><br />Course Overview</em></strong><em> <br /></em><br /></div><div><br />With mobile device usage projected to increase by 30% over the next few years, mobile app development continues to be one of the most in-demand and rewarding technology career paths. This beginner-friendly course from IBM introduces learners to the mobile app development ecosystem and prepares them to take the first step toward becoming a mobile app developer—no prior experience required. <br /><br /></div><div><br />Mobile app developers design, build, and test apps that deliver functionality and user engagement across various platforms. This course introduces the fundamental tools, concepts, and platforms used in mobile development and provides the foundation needed to pursue further technical learning or enter the job market. <br /><br /></div><div><br />You’ll explore mobile platforms such as Android, iOS, WatchOS, and WearOS. You’ll learn how front-end and back-end systems interact in mobile apps, how cloud tools enable app hosting and delivery, and how IDEs like Android Studio and Xcode support the development process. You’ll also get familiar with programming languages and frameworks including Swift, Kotlin, Flutter, and React Native. <br /><br /></div><div><br />Through interactive labs, expert interviews, and real-world examples, you’ll gain hands-on experience with wireframing, mobile testing tools, emulators, and app marketplaces. You’ll also explore what it's like to work on a mobile development team and create a basic app concept in your final project. <br /><br /></div><div><br />By the end of the course, you’ll have foundational knowledge of mobile development, an understanding of key tools and platforms, and insights into career opportunities in this high-growth tech field. Enroll now and take the first step toward becoming a mobile app developer. <br /><br /></div><div><br /><br /></div><h1>Course Syllabus</h1><ul><li><strong>Module 1: Introduction to the Mobile App Landscape</strong> </li><li><strong>Module 2: Mobile App Development Ecosystem</strong> </li><li><strong>Module 3: A Career in Mobile App Development</strong> </li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This is a beginner-level course designed for individuals with no prior coding or development experience. To participate fully, learners should have basic computer literacy and access to a computer with internet connectivity. </div><div>s platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Mobile App Development Fundamentals

Learn mobile app development basics, platforms, tools, and career paths. No coding experience required. Ideal for beginners exploring tech careers. 

<div>Get ready to develop the in-demand generative AI (GenAI) skills that Java and Spring developers need to create AI-powered applications that businesses are actively looking for&nbsp;<br><br></div><div><strong>What You Will learn:</strong> &nbsp;<br><br></div><ul><li>Build the job-ready GenAI skills businesses are looking for to build Java-based AI applications faster and more efficiently &nbsp;</li><li>Design, build, and deploy AI-powered Java apps using GenAI libraries, neural networks, Spring framework, and best practices for testing, REST APIs, and error handling. &nbsp;</li><li>Apply prompt engineering techniques and tools, and best practices to craft effective prompts and optimize generative AI outputs. &nbsp;</li><li>Leverage generative AI tools to write better code, streamline app design, solve complex problems, and address ethical challenges in AI-assisted software development.&nbsp; &nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong> &nbsp;<br><br></div><div>During this program, you’ll learn how to harness GenAI to create intelligent applications, automate code generation, boost development efficiency, and integrate cutting-edge features like chatbots, recommendation engines, and natural language processing into Java and Spring systems. &nbsp;<br><br></div><div>Through hands-on projects, you’ll explore real-world use cases for AI-generated text, images, audio, and more. You’ll develop practical skills in prompt engineering, AI development best practices, and the use of leading GenAI tools. Plus, you'll learn to write and refine code, design smarter applications, solve complex problems, and navigate ethical considerations in AI-assisted programming. &nbsp;<br><br></div><div>The program also covers setting up a Java environment tailored for AI libraries and using frameworks like Deeplearning4j to build neural networks, image recognition systems, and recommendation engines. Plus, you’ll master the deployment and management of Spring-based AI applications with strong testing, logging, error handling, and RESTful API integration. &nbsp;<br><br></div><div>If you’re looking to design and integrate AI-powered services and components into enterprise-grade Java and Spring applications, enroll today, and get ready to showcase your skills through a portfolio of real-world projects in just 4 weeks.&nbsp;<br><br></div><div><strong>Prerequisites</strong> &nbsp;<br><br></div><div>No prior experience with generative AI is required to take this specialization. However, a foundational understanding of Java programming is recommended, along with a willingness to expand your skills into AI development using familiar Java-based tools and frameworks. &nbsp;<br><br></div><div><strong>Your Job Outlook</strong> &nbsp;<br><br></div><div>The demand for using GenAI in many sectors, including software development, is growing fast. With the right generative AI skills, you have a lot to look forward to in your career. &nbsp;<br><br></div><ul><li>According to Fortune Business Insights, the global generative AI in <strong>software development</strong> lifecycle market is projected to grow from $341.3 million in 2023 to $2833.9 million by 2030. &nbsp;</li><li>According to a McKinsey study, software developers can complete coding tasks up to twice as fast with generative AI.&nbsp;</li></ul>

GenAI: Powering Java and Spring Development Specialization 

Future-proof your career with the job-ready, highly sought-after GenAI skills to create intelligent Java and Spring applications! 

<div>Ready to take your customer support or IT support career to the next level? It’s time to skill up in generative AI (GenAI)! This specialization gives you the skills you need to enhance customer experience and work more productively in your daily tasks using GenAI. <br><br><strong>You Will Learn:</strong> &nbsp;<br><br></div><ul><li>Practical, job-ready skills in GenAI you can use in your customer support or IT support role in just 3 weeks &nbsp;</li><li>A solid grasp of GenAI fundamentals and how you can use it productively and ethically in customer support &nbsp;</li><li>How to craft effective prompts and apply GenAI techniques to analyze sentiment and provide proactive support solutions &nbsp;</li><li>Hands-on skills using GenAI tools and chatbots for diverse scenarios, including automating customer responses and supporting multilingual interactions &nbsp;</li></ul><div><br></div><div><strong>Program Overview</strong> &nbsp;<br><br></div><div>Gartner predicts 80% of customer service and support teams will adopt generative AI (GenAI) to elevate the customer experience (CX).&nbsp; &nbsp;<br><br></div><div>This <strong>GenAI: Transforming Customer Support</strong> <strong>Specialization</strong> is designed to give customer and IT support professionals and managers the job-ready, practical skills to leverage GenAI in customer or IT support tasks in just 3 weeks.&nbsp; &nbsp;<br><br></div><div>As you work through this program, you’ll explore the core principles and capabilities of GenAI and learn how to apply them across the entire customer support lifecycle. You’ll master prompt engineering techniques that achieve better results and discover how GenAI can be used to automate responses, create FAQs, train support agents, analyze customer sentiment, and deliver proactive, personalized support. &nbsp;<br><br></div><div>You’ll gain valuable hands-on experience using popular GenAI tools and chatbots, such as ChatGPT, Copilot, and Claude, using them in real-world use cases that improve customer interactions and streamline support operations.&nbsp; &nbsp;<br><br></div><div>If you’re keen to build hands-on skills that unlock the full potential of generative AI to transform your customer support career, enroll today! &nbsp;<br><br></div><div><strong>Prerequisites</strong> &nbsp;<br><br></div><div>This program is ideal for beginners. However, to get the most from this program, you do need basic computer literacy and mathematics, plus a basic understanding of customer support fundamentals is recommended. No programming knowledge is required.&nbsp;<br><br></div><div><strong>Your Job Outlook</strong> &nbsp;<br><br></div><div>The demand for customer support and IT support professionals with GenAI skills is growing fast. &nbsp;<br><br></div><ul><li>The global enterprise generative AI market for customer service is projected to grow from US$647.5 M in 2024 to US$4.92 B by 2030 (CAGR ≈ 41.3%) – Horizon Grand View Research &nbsp;</li><li>A Deloitte Finland survey found that over 60% of respondents plan to invest in generative AI for contact centers</li></ul>

   GenAI: Transforming Customer Support Specialization 

Build the hands-on GenAI skills you need to work faster and drive excellent customer experiences in just 3 weeks!   

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  <div>Showcase your mobile app development skills with this capstone project! <br /><br />In this course, you’ll create a mobile app based on a project scenario using either Flutter or React Native frameworks. Each module features optional labs in Flutter or React Native to deepen your expertise, along with compulsory labs contributing to the final project. You’ll build your app incrementally across the modules. <br /><br />To begin with, you’ll set up a GitHub repository, write user stories to define app features, and use Figma to design intuitive mobile screens. Next, you’ll configure login and signup screens, create a homepage, and design a detail page to provide users with more information. You’ll also implement a settings menu, enabling users to personalize their app experience. <br /><br />As you progress, you’ll add data persistence to retain user data, implement notifications to boost engagement, and integrate an API to fetch real-time data. <br /><br />This project not only sharpens your technical skills but also equips you with a portfolio-ready app to impress potential employers. <br /><br />Enroll today to apply your mobile app development expertise to a real-world scenario and get job-ready by boosting your resume in just six weeks!</div><h1>What You Will Learn</h1><ul><li>Create a GitHub repository, develop user stories to guide development tasks, and design UX and UI using Figma for a mobile app.</li><li> Implement login and registration, develop a home screen with navigation, and a detail screen for item-specific info using Flutter or React Native.  </li><li>Implement local storage for data persistence and integrate external APIs to fetch and display real-time data using Flutter or React Native.</li><li>Add settings for user customization and notification features to enhance engagement, and explore publishing and marketing strategies for your app.</li></ul><h1>Course Syllabus</h1><div>Tell your audience what they can expect to learn. Better yet, tell them what they will be able to do as a result of completing your course:<br /><strong>Module 1: User Stories and UI/UX</strong></div><ul><li>Video: Course Introduction</li><li>Reading: Course Overview</li><li>Reading: Prerequisites and Course Syllabus</li><li>Reading: Course Strategy</li><li>Reading: Project Overview </li><li>Video: [Option A]: Demo of the Flutter Project  </li><li>Video: [Option B]: Demo of the React Native Project  </li><li>Lab: Setting Up the Git Environment</li><li>Reading: Tasks Overview</li><li>Optional Lab A [Flutter]: Develop User Stories </li><li>Optional Lab B [React Native]: Develop User Stories </li><li>​Required Lab: Develop User Stories </li><li>​Optional Lab A [Flutter]: Create UX Wireframes in Figma</li><li>​Optional Lab B [React Native]: Create UX Wireframes in Figma</li><li>​Required Lab: Create UX Wireframes in Figma</li><li>​Checklist: User Stories and UI/UX   </li><li>​Graded Quiz: User Stories and UI/UX [Flutter]</li><li>​Graded Quiz: User Stories and UI/UX [React Native]</li></ul><div><strong>Module 2: Implement Home and Detail Screens</strong></div><ul><li>Reading: Tasks Overview</li><li>​Optional Lab A [Flutter]: Create Login and Registration Screens</li><li>​Optional Lab B [React Native]: Create Login and Registration Screens</li><li>​Required Lab: Create Login and Registration Screens</li><li>Reading: Tasks Overview </li><li>​Optional Lab A [Flutter]: Create a Home Screen</li><li>​Optional Lab B [React Native]: Create a Home Screen</li><li>Required Lab: Create a Home Screen</li><li>​Reading: Tasks Overview </li><li>​Optional Lab A [Flutter]: Create a Detail Screen</li><li>​Optional Lab B [React Native]: Create a Detail Screen</li><li>​Required Lab: Create a Detail Screen</li><li>Checklist: Implement Home and Detail Screens  </li><li>Graded Quiz: Implement Home and Detail Screens [Flutter] </li><li>​Graded Quiz: Implement Home and Detail Screens [React Native]</li></ul><div><strong>Module 3: Data Persistence and APIs </strong></div><ul><li>Reading: Tasks Overview </li><li>Optional Lab A [Flutter]: Integrate Persistence</li><li>Optional Lab B [React Native]: Integrate Persistence</li><li>Required Lab: Integrate Persistence </li><li>Reading: Tasks Overview </li><li>Optional Lab A [Flutter]: Integrate an External API</li><li>​Optional Lab B [React Native]: Integrate External API</li><li>​Required Lab: Integrate External API </li><li>​Practice Assignment: Checklist: Data Persistence and APIs  </li><li>Graded Quiz: Data Persistence and APIs [Flutter]</li><li>Graded Quiz: Data Persistence and APIs [React Native]</li></ul><div><strong>Module 4: Setting Screens</strong></div><ul><li>Reading: Tasks Overview </li><li>​Optional Lab A [Flutter]: Implement Settings Menu</li><li>​Optional Lab B [React Native]: Implement Settings Menu</li><li>​Required Lab: Implement Settings Menu Submission</li><li>​Reading: Task Overview</li><li>​Optional Lab A [Flutter]: Implement Settings Screen</li><li>​Optional Lab B [React Native]: Implement Settings Screen</li><li>​Required Lab: Implement Settings Screen Submission</li><li>​Checklist: Setting Screens </li><li>​Graded Quiz: Setting Screens [Flutter]</li><li>​Graded Quiz: Setting Screens [React Native]</li></ul><div><strong>Module 5: Notifications, Publishing, and Marketing<br /></strong><br />Reading: Tasks Overview <br />Optional Lab A [Flutter]: Implement Notifications<br />Optional Lab B [React Native]: Implement Notifications<br />Required Lab: Implement Notifications Submission<br />​Reading: Tasks Overview (Optional)<br />​Optional Lab A [Flutter]: Prepare to Publish<br />​Optional Lab B [React Native]: Prepare to Publish<br />​Required Lab: Draft a Marketplace Listing<br />​Publish and Market Your App (Optional)<br />​Checklist: Notifications, Publishing, and Marketing <br />Graded Quiz: Notifications, Publishing, and Marketing [Flutter]<br />​Graded Quiz: Notifications, Publishing, and Marketing [React Native]<br />​<br /><strong>Module 6: Final Project Submission and Evaluation</strong></div><ul><li>Reading: Prepare to Submit Your Project  </li><li>Peer Review: Final Project Submission and Evaluation</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><div><br />[Bonus] Portfolio Development and Job Guidance [Coming Soon]</div><ul><li>Video: Build your portfolio</li><li>​Reading: Update your Portfolio and Resume</li><li>​Video: Job Search and Interview Guidance </li><li>​Reading: Job hunting and Applying</li></ul><div>​</div><h1>Recommended Skills Prior to Taking this Course</h1><div>Prior working knowledge of HTML, CSS, JavaScript, Figma, Git, GitHub, and either React Native or Flutter is required.</div>
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Mobile App Development Capstone Project

Showcase your mobile app development skills with this capstone project! 

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  <div>Hello, and welcome to the Spring Frameworks for Java Development course.</div><div>This Spring Fundamentals course equips beginner and experienced developers with the essential skills to build powerful and scalable Java applications using the Spring Framework. The course provides an in-depth understanding of Spring’s core components, including dependency injection, aspect-oriented programming, and configuration management. In this course, you will explore creating modular and maintainable applications by leveraging Spring’s powerful features.</div><div>Through hands-on projects and practical labs, you will gain experience setting up Spring applications, managing dependencies with Maven, and building RESTful APIs. The course also covers advanced concepts such as Spring Boot, Spring MVC, and Spring Security, enabling you to build dynamic web applications easily. Emphasizing best practices in software design, including modular architecture, code reusability, and secure development, this course prepares you for real-world enterprise application challenges.</div><div>This course is part of the Java Development from IBM Professional Certificate, a structured learning path designed to provide practical programming experience. It is an ideal starting point for aspiring Java developers.</div><div><strong>Prerequisites and hardware requirements</strong></div><div>This course is recommended for budding and experienced software developers who want to build scalable software applications using the Spring framework in Java. Knowledge of Java basics, including object-oriented programming, is essential to get the most from this course.</div><div>If you are not familiar with Java, it is strongly suggested that you enroll in the following courses and complete them before proceeding to this course.</div><ol><li>Java for Beginners</li><li>Object Oriented Programming in Java</li></ol><div><strong>Course objectives</strong></div><div>After completing this course, you will be able to:</div><ul><li>Understand the fundamentals of the Spring Framework and its ecosystem</li><li>Configure IDEs and create projects using Spring Initializr</li><li>Develop applications using Spring Boot, including RESTful APIs</li><li>Implement web applications using Spring MVC and Thymeleaf</li><li>Secure applications through Spring Security techniques</li><li>Utilize tools like Maven and Postman effectively in Spring projects</li></ul><div><strong>Course outline</strong></div><div>This course comprises four modules.</div><div><strong>Module 1: Introduction to Spring Framework</strong></div><div>In this module, you will learn the fundamentals of the Spring Framework, a powerful framework for building modern Java-based enterprise applications. You will explore the core components and ecosystem of Spring, understand essential terminologies, and set up your development environment using tools like IntelliJ and Maven. By the end of this module, you will have the foundational knowledge needed to create and manage basic Spring projects efficiently.</div><div><strong>Module 2: Deep Dive into Spring Boot</strong></div><div>This module dives deep into Spring Boot, focusing on its role in simplifying the development of stand-alone, production-grade Spring-based applications. You will learn how to create and configure Spring Boot projects using Spring Initializr and build REST APIs to enable dynamic web interactions. By mastering essential concepts such as controllers, annotations, and API testing with Postman, you will gain the skills to develop robust and efficient web applications.</div><div><strong>Module 3: Understanding Spring MVC and Security</strong></div><div>In this module, you will learn how to develop interactive web applications using Spring MVC and implement security measures using Spring Security. You will set up Spring MVC projects, integrate Thymeleaf for dynamic content rendering, and handle user input through interactive web forms. Additionally, you will understand authentication and authorization concepts, securing your applications with Spring Security to protect endpoints effectively.</div><div><strong>Module 4: Final Project and Course Wrap-Up</strong></div><div>In this module, you will apply your knowledge by developing a secure online quiz application using Spring Boot, Spring MVC, and Spring Security. This hands-on project reinforces core concepts, including REST APIs, user authentication, and form validation. Completing this project will give you practical experience in building secure and interactive web applications.</div><div>Congratulations on taking this step to advance your Java skills! </div><div><br /></div><div><br /></div>
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Spring Framework for Java Development

Over 60% of Java developers use the Spring Framework to build enterprise-level applications. With its powerful features and extensive ecosystem, Spring is a vital tool in Java development. This course explores the Spring Framework and its core components, and guides you through setting up your development environment using Spring Initializr.   

Introduction to Ethical Hacking Principles

Demand for cybersecurity professionals is on the rise, and ethical hacking is at the heart of protecting systems against attack. This course begins with core ethical hacking concepts and explores legal considerations, including global cybersecurity laws, such as GDPR, CCPA, CFAA, etc., and the risks of operating outside authorized boundaries.  After completing this course, you’ll have a sound knowledge of responsible disclosure procedures and best practices in security reporting, giving you the skills to ethically identify and report vulnerabilities. 

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  <div>Gain expertise in using vector databases and improve your data retrieval skills in this hands-on course!  <br />During the course, you’ll explore the fundamental principles of similarity search and vector databases, learn how they differ from traditional databases, and discover their importance in recommendation systems and Retrieval-Augmented Generation (RAG) applications. You’ll also dive into key concepts such as vector operations and database architecture to develop a strong grasp of Chroma DB's functionality.    <br />You’ll gain practical experience using Chroma DB, a leading vector database solution. And through interactive labs, you’ll learn to create collections, manage embeddings, and perform similarity searches with real-world datasets.  <br /><br />You’ll then apply what you’ve learned by creating a real-world recommendation system powered by Chroma DB and an embedding model from Hugging Face; an ideal project to demonstrate your understanding of how vector databases improve search and retrieval in AI-driven applications.    <br /><br />If you’re keen to gain expertise in using vector databases and similarity searches, both essential components of the RAG pipeline, then enroll today! </div><h1>Course Learning Objectives</h1><ul><li>Differentiate between vector databases and traditional databases based on their functionality and use cases </li><li>Execute fundamental database operations in Chroma DB, including updating, deleting, and managing collections </li><li>Understand and apply similarity search techniques, both manually and with Chroma DB, and develop recommendation systems using these techniques </li></ul><h1>Course Outline </h1><div><strong>Module 1: Introduction to Vector Databases and Chroma DB</strong></div><ul><li>Lesson 0: Welcome</li><li>Lesson 1: An Introduction to Vector Databases and Similarity Search</li><li>Lesson 2: Exploring Chroma DB</li></ul><div><br /></div><div><strong>Module 2: Vector Databases for Recommendation Systems and RAG</strong></div><ul><li>Lesson 1: Chroma DB Database Operations</li><li>Lesson 2: Develop a Recommendation System and Connect Learned Concepts to RAG</li></ul><h1>Recommended Background</h1><div>Python programming, familiarity with databases </div><div><br /></div>
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Vector Databases for RAG: An Introduction

Gain expertise in using vector databases and improve your data retrieval skills in this hands-on course!  

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  <div>Ready to develop in-demand skills in state management, user interaction handling, navigation, and cross-platform testing? This course teaches you how to create mobile apps for both Android and iOS with React Native, giving you hands-on skills and expertise employers look for in mobile developers. <br /><br /></div><div> </div><div> </div><div><strong><em>You Will learn:</em></strong> </div><div> </div><ul><li>Hands-on, practical skills using React Native for mobile app development that employers are looking for. </li><li>How to use the features of React DevTools supported by understanding the key components and concepts of React Native </li><li>How to apply React Native stylesheets, layouts, events, and props to develop cross-platform mobile apps  </li><li>Hands-on experience developing apps with Expo, as well as testing and publishing apps by applying app debugging and publishing concepts </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>React Native is one of the leading frameworks for mobile app development (Statista). Adding React Native to your skill set is a smart move for anyone pursuing a career in the mobile app development. In this course, you’ll gain hands-on skills in setting up the development environment and building cross-platform apps. </div><div> </div><div>During this course, you’ll get hands on setting up the React Native development environment. You’ll work with styles, state management, user interactions, and lists, while also learning to debug and publish mobile apps in React Native. You'll test applications across different Android and iOS platforms using online labs, and explore key features like navigation to enhance app performance and usability. You'll also apply concepts like layouts, events, and props to develop efficient, responsive apps. </div><div> </div><div>Whether you're just starting out or looking to upskill, this course will equip you with the practical knowledge and in-demand React Native skills employers are seeking. Enroll now</div><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome to the Course</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Reading: How to Make the Most of this Course  </li></ul><div> </div><div><strong>Module 1 Introduction to React Native </strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Introduction to React Native  </li><li>Video: Features and Use Cases of React Native  </li><li>Video: Setting Up the React Native Development Ecosystem  </li><li>(Optional) Lab: Setting Up React Native Development Environment on your System on Your Windows System </li><li>Video: React Native Internals  </li><li>Reading: React Native Comparison with Other Frameworks  </li><li>Video: Introduction to Expo and Its Features  </li><li>Video: Working with Expo CLI  </li><li>Lab: Using Expo: Setting Up the Environment </li><li>Video: Navigating the Project Structure  </li><li>Reading: Expo CLI vs React Native CLI  </li><li>Lab: Create "Hello World": A Basic React Native App  </li><li>Reading: Summary Module 1 Introduction to React Native </li><li>Practice Quiz: Introduction to React Native  </li><li>Reading: Module 1 Cheat Sheet: Introduction to React Native </li><li>Graded Quiz: Introduction to React Native  </li></ul><div> </div><div><strong>Module 2 Working with React Native</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Reading: Introduction to Virtual DOM  </li><li>Video: Introduction to Basic Components  </li><li>Lab: Flower Shop Landing Page Using Basic Components </li><li>Video: Introduction to React Navigation Components  </li><li>Video: Implementation of Stack, Drawer, and Tab Navigation  </li><li>Lab:  Grocery Catalog Using Navigation Components </li><li>Reading: Emulator and Simulator Basics  </li><li>Video: Understanding Android SDK Emulator </li><li>Video: Working with Android Emulator </li><li>Lab: Working with Android Emulator Using Time Zone </li><li>Video: Introduction to iOS Simulator  </li><li>Video: Configuring iOS Simulator  </li><li>(Optional) Lab: Working with iOS Simulator  </li><li>Reading: Module Summary: Working with React Native </li><li>Practice Quiz: Working with React Native </li><li>Reading: Module 2 Cheat Sheet: Working with React Native  </li><li>Graded Quiz: Working with React Native </li></ul><div> </div><div><strong>Module 3 Working with Style and State Management</strong> </div><ul><li>Reading: Module 3  Introduction and Learning Objectives </li><li>Video: Introduction to Style Sheets  </li><li>Video: Styling with Layouts and Flexbox  </li><li>Lab: Design a Fitness Club Application Using Flexbox Layout </li><li>Video: Using Styled Components in React Native  </li><li>Lab: Dark-Light Theme with Styled Components  </li><li>Video: Managing State with useState and useReducer  </li><li>Video: Passing Data with Props  </li><li>Video: Using Context API for State Management  </li><li>Lab: Login Authentication Using Context API </li><li>Video: Integrating Redux Toolkit in React Native  </li><li>Lab: Quiz Application Using Redux Toolkit </li><li>Reading: Lesson Summary: Working with Style and State Management </li><li>Practice Quiz: Working with Style and State Management </li><li>Reading: Module 3 Cheat Sheet: Working with Style and State Management </li><li>Graded Quiz: Working with Style and State Management </li></ul><div> </div><div><strong>Module 4 Handling User Interactions and Lists</strong> </div><ul><li>Reading: Module 4  Introduction and Learning Objectives </li><li>Video: Handling Touch Events in React Native  </li><li>Video: Handling TextInput and Forms  </li><li>Lab: Event Registration App to Handle Form Data  </li><li>Video: Validating Forms with Formik and Yup  </li><li>Lab: Validating Form Data with Formik and Yup  </li><li>Video: Introduction to FlatList and SectionList  </li><li>Lab: Apartment Listings Display with FlatList  </li><li>Video: Implementing Pull to Refresh and Infinite Scrolling  </li><li>Video: Using AsyncStorage for Persistent Data  </li><li>Lab: Note Taking App with AsyncStorage  </li><li>Reading: Module Summary: Handling User Interactions and Lists </li><li>Practice Quiz: Handling User Interactions and Lists </li><li>Reading: Module 4 Cheat Sheet: Handling User Interactions and Lists </li><li>Graded Quiz: Handling User Interactions and Lists </li></ul><div> </div><div><strong>Module 5 Debugging and Publishing Apps in React Native </strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Reading: Introduction to React DevTools </li><li>Video: Working with React DevTools  </li><li>Lab: Working with React DevTools  </li><li>Video: Handling Errors and Debugging </li><li>Reading: Debugging on iOS and Android  </li><li>Lab: Debugging Common Issues  </li><li>Reading: Building App with Expo  </li><li>Video: Creating Android APK Files and iOS with Xcode  </li><li>Video: Handling Updates in React Native  </li><li>Lab: Building an Application for Android Using APK Files </li><li>Reading: Module Summary: Debugging and Publishing Apps in React Native  </li><li>Practice Quiz: Debugging and Publishing Apps in React Native  </li><li>Reading: Module 5 Cheat Sheet: Debugging and Publishing Apps in React Native </li><li>Graded Quiz: Debugging and Publishing Apps in React Native  </li></ul><div> </div><div><strong>Module 6 Final Project</strong> </div><ul><li>Reading: Module 6 Introduction and Learning Objectives </li><li>Reading: Overview of Practice Project  </li><li>Lab: Practice Project </li><li>Video: Project Overview  </li><li>Lab: Final Project: Recipes </li><li>Lab: Peer Review </li><li>Final Exam  </li></ul><div> </div><div><strong>Course Wrap-Up</strong> </div><ul><li>Video: Course Summary  </li><li>Reading: Course Cheat Sheet </li><li>Reading: Congratulations and Next Steps  </li><li>Reading: Thanks from the Course Team</li></ul><div><br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is designed for professionals starting out in mobile development or looking to enhance their skills. It provides practical knowledge and in-demand React Native skills. A basic understanding of HTML, JavaScript, and React is recommended. </div>
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Developing iOS and Android Apps with React Native

Get hands-on building mobile apps for Android and iOS using React Native. Learn to manage state, handle user interactions, implement navigation, and test apps.  

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  <div>Ready to dive into the world of building basic iOS apps using Xcode, Swift, and SwiftUI? This hands-on course covers essential tools, concepts, and features for iOS development and is ideal for beginners as well as experienced developers.  <br /><br /></div><div><strong><em>You Will learn:</em></strong>  <br /><br /></div><ul><li>Hands-on, practical skills to design, build, and test basic iPhone apps  </li><li>Basics of the iOS development environment and the purpose of Xcode in building iOS applications  </li><li>How to utilize the iOS Simulator for testing and debugging iOS apps effectively  </li><li>How to apply foundational Swift and SwiftUI programming concepts to design and develop basic iOS applications  </li></ul><div> <br /><br /></div><div><strong>Course Overview</strong>  <br /><br /></div><div>With Apple’s strong market presence and the continued popularity of iPhone apps, learning iOS development is a valuable and highly sought-after skill for both aspiring and experienced developers. This course gives you a comprehensive introduction to iOS app development, covering essential tools, components, and concepts.  <br /><br /></div><div>During the course, you'll explore Xcode and its key features. You’ll gain a solid understanding of Swift and SwiftUI. Plus, you’ll apply your new knowledge and skills to building basic iOS applications through hands-on labs and practical exercises. <br /><br /></div><div>If you’re keen to take your first steps into iOS app development and gain practical skills employers value, enroll today!  <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: How to Make the Most of This Course </li><li>Reading: Grading Scheme </li></ul><div> </div><div><strong>Module 1: Introduction to iOS Development</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Video: Introduction to iOS development </li><li>Video: Explore Xcode features </li><li>Video: Set Up the Xcode Environment </li><li>Lab: Set Up and Explore Xcode IDE Locally  </li><li>Video: iOS App Development Process </li><li>Reading: Reading: Basics of macOS App Development </li><li>Reading: Xcode Simulator </li><li>Lab: Exploring the iOS Simulator  </li><li>Practice Quiz: Module 1: Introduction to iOS Development </li><li>Reading: Module Summary: Introduction to iOS Development </li><li>Graded Quiz: Module 1: Introduction to iOS Development </li></ul><div><strong>Module 2: Introduction to Swift Programming</strong> </div><ul><li>Video: Introduction to Swift </li><li>Video: Swift Language Basics </li><li>Video: Introduction to SwiftUI </li><li>Lab: Basics of Swift and SwiftUI </li><li>Video: Swift Programming Concepts </li><li>Video: Developing with Swift </li><li>Lab: Creating an iOS App User Interface: Tip Calculator </li><li>Practice Quiz: Module 2 Introduction to Swift Programming </li><li>Reading: Module Summary: Introduction to Swift Programming  </li><li>Graded Quiz: Introduction to Swift Programming </li></ul><div><strong>Module 3: Final Project and Course Wrap-Up</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Final Project Overview </li><li>Final Project: Create a Simple Recipe App in SwiftUI </li></ul><div><strong>Module 4: Course Wrap-Up </strong> </div><ul><li>Video: Course Wrap-Up </li><li>Reading: Course Glossary </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Course Rating and Feedback </li></ul><div><br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is suitable for beginners as well as experienced developers who are interested in mobile app development. You just need to have fundamental knowledge and skills related to information technology (IT). No prior programming experience is required. </div>
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iOS App Development Fundamentals

Get hands-on building iOS apps from the ground up using Xcode, Swift, and SwiftUI. Learn essential tools, concepts, and features for iOS development. 

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  <div>Get ready to build the hands-on skills to leverage generative AI (GenAI) to streamline mobile app design, automate content creation, enhance user engagement, and personalize in-app experiences.  <br /><br /></div><div><strong>What you’ll learn</strong>  <br /><br /></div><ul><li>Build a functional mobile app prototype using cutting-edge AI tools  </li><li>Understand key generative AI concepts for mobile app design and development  </li><li>Demonstrate proficiency in tools like Vertex AI, Dialogflow, and Apple Intelligence  </li><li>Analyze the benefits and challenges of AI-driven app design, marketing, and support</li></ul><div><br /></div><ul><li><strong>Course overview</strong>  <br /><br />AI-powered mobile apps are expected to drive over $35 billion in global revenue by 2030. Employers are seeking professionals who can use AI to improve mobile app performance, personalization, and engagement.  <br /><br />This course gives mobile app developers, UX/UI designers, and digital marketers powerful skills to leverage GenAI across the app development lifecycle. Whether you’re a beginner or looking to upskill, this course will help you stand out in a highly competitive tech job market.  <br /><br />The course begins with an introduction to GenAI in mobile contexts. You’ll learn about AI opportunities in areas such as app prototyping, content generation, AR/VR, gaming, and intelligent support. Key tools include <strong>Claude AI </strong>for visual content, <strong>Copy.ai </strong>for marketing campaigns, and <strong>Synthesia</strong>.io for FAQ automation. You’ll also explore how Apple Intelligence enhances iOS development and how AI can personalize user behavior in real-time.  <br /><br />You’ll then get hands-on experience with tools like <strong>Vertex AI Studio</strong>, <strong>Dialogflow</strong>, and <strong>Clarifai</strong>. You’ll use these to build chatbots, embed machine learning models, and experiment with AI-enhanced IDEs like Project IDX. You’ll also learn to deploy custom AI models from the cloud and integrate them seamlessly into cross-platform mobile apps built with React Native. Plus, you’ll complete a final capstone project where you’ll develop a smart health app using multiple AI tools.  <br /><br />If you’re keen to enhance your resume with an industry-recognized credential and job-ready GenAI skills for mobile app development, AI design, and intelligent app support, <strong>enroll today!</strong> <br /><strong><br />Prerequisites</strong> <br /><br />This is an intermediate-level course designed for learners with basic knowledge of mobile app development or UX/UI design. No prior experience with generative AI is required. Familiarity with mobile development environments and programming fundamentals is helpful. <br /><br />Get ready to build the hands-on skills to leverage generative AI (GenAI) to streamline mobile app design, automate content creation, enhance user engagement, and personalize in-app experiences.  <br /><br /><strong>What you’ll learn</strong>  <br /><br /><ul><li>Build a functional mobile app prototype using cutting-edge AI tools  </li><li>Understand key generative AI concepts for mobile app design and development  </li><li>Demonstrate proficiency in tools like Vertex AI, Dialogflow, and Apple Intelligence  </li><li>Analyze the benefits and challenges of AI-driven app design, marketing, and support  </li></ul></li><li><strong><br />Course syllabus</strong> <br /><br /><strong>Welcome </strong><ul><li>Video: Course Introduction </li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: How to Make the Most of This Course</li></ul></li><li><strong>Module 1: Introduction to Generative AI for Mobile App Development </strong><ul><li>Module Introduction and Learning Objectives</li><li>Video: Opportunities and Challenges of GenAI in Mobile Apps </li><li>Video: Designing Mobile Apps Using GenAI </li><li>Lab: Generate Quick Prototype Using Uizard.io</li><li>Video: Content Creation Using Gen AI for Mobile Apps </li><li>Lab: Generate a Splash Screen Using Claude AI</li><li>Video: Transforming Gaming and AR/VR Mobile Apps with GenAI </li><li>Demo Video: Exploring AR/VR Mobile Apps </li><li>Reading: Best Practices for Incorporating GenAI in Mobile Design</li><li>Video: GenAI for Mobile App Marketing </li><li>Lab: Create a Social Media Marketing Campaign Using Copy.ai</li><li>Video: GenAI for Mobile App Support </li><li>Lab: Create an FAQ Using Synthesia.io</li><li>Video: GenAI for Behavioral Analysis and Customization </li><li>Reading: Industry Use Cases of GenAI in Mobile Apps</li><li>Practice Quiz: Introduction to Generative AI for Mobile App Development</li><li>Reading: Summary and Highlights: Introduction to Generative AI for Mobile App Development</li><li>Graded Quiz: Introduction to Generative AI for Mobile App Development </li></ul></li><li><strong>Module 2: Generative AI Tools for Mobile Development </strong><ul><li>Module Introduction and Learning Objectives</li><li>Video: Generative AI for Cutting-Edge Android Apps </li><li>Demo Video: Vertex AI Studio </li><li>Lab: Leverage Dialogflow for Creating a Retail Order Assistant Chatbot</li><li>Video: Elevate iOS apps with Generative AI </li><li>Video: Introduction to Apple Intelligence </li><li>Reading: Developing with Apple Intelligence </li><li>Video: Building Intelligent Mobile Apps with Machine Learning Models </li><li>Demo Video: AI Lifecycle Platform - Clarifai </li><li>Video: Empowering Mobile Innovation with Embedded AI </li><li>Video: AI-Powered IDEs for Mobile App Development </li><li>Demo Video: Exploring Project IDX </li><li>Lab: Creating a React App with Project IDX for a Dynamic Form</li><li>Reading: Leverage Custom AI Models in Cloud for Mobile App Development</li><li>Practice Quiz: Generative AI Tools for Mobile Development</li><li>Reading: Summary and Highlights: Generative AI Tools for Mobile Development</li><li>Graded Quiz: Generative AI Tools for Mobile Development </li></ul></li><li><strong>Module 3: Final Project and Final Exam </strong><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Final Project Overview</li><li>Final Project: Smart Health App</li><li>Final Exam: Generative AI Skills for Mobile App Developers </li><li>Retake Exam</li></ul></li><li><strong>Module 4: Course Wrap-Up </strong><ul><li>Video: Course Wrap-Up </li><li>Reading: Useful Prompts for Mobile App Developers</li><li>Reading: Glossary: Generative AI Skills for Mobile App Developers</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Course Team and Acknowledgements</li></ul></li><li><strong>Course Rating and Feedback </strong><ul><li>Course Rating and Feedback</li></ul></li><li><br /><br /></li></ul>
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Generative AI Skills for Mobile App Developers

Learn to build smarter mobile apps with generative AI. Explore AI-driven design, content, marketing, & support using tools like Claude AI and Apple Intelligence. 

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  <div><br />Ready to get hands-on with the fundamentals of Android app development using modern tools and interfaces. This course introduces you to Android Studio, and guides on how to apply UI design principles to build dynamic mobile applications—even if you have no prior programming experience.  <br /><br /></div><div><strong>What you will learn</strong>  <br /><br /></div><ul><li>Get familiar with the Android development environment, including major programming languages, frameworks, and tools  </li><li>Understand the Android development process and explore the use of Android Studio  </li><li>Apply UI concepts and leverage AI to develop dynamic apps on Android  </li><li>Build and test a fitness tracker app for Android  </li></ul><div><strong>Course overview</strong>  <br /><br /></div><div>Over 70% of global devices run Android— making Android development one of the most sought-after skills in the tech industry. Whether you're exploring a new career in mobile development or adding cross-platform skills to your resume, this course gives you the kickstart to your skills that you need.  <br /><br /></div><div>You’ll gain foundational knowledge in Android development environments, exploring key frameworks, languages, and tools like Java and Kotlin. You’ll look at the app development process using Android Studio and learn to create user-friendly mobile interfaces. Plus, you’ll investigate the use of Android Emulators, layout components, widgets, and user interaction patterns.  <br /><br /></div><div>In hands-on labs, you’ll install and configure Android Studio, develop login and registration screens, and enhance your apps with notifications and interactivity. You’ll also learn how to use Gemini, Google’s generative AI integration in Android Studio, to streamline UI development and boost productivity.  To consolidate your skills, you’ll then build and test a fully functional fitness tracker app as your final project—demonstrating your ability to apply learned concepts in a real-world scenario.  If you’re keen to build your first Android app, enroll today and take this first key step in your mobile development journey. <br /><br /><strong><br />Course Syllabus</strong> <br /><br /></div><div><strong>Welcome </strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: How to Make the Most of This Course</li></ul><div><strong>Module 1: Introduction to Android Development </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Introduction to Android Ecosystem </li><li>Video: Android App Development Process and Tools </li><li>Video: Introduction to Android Studio </li><li>Reading: System Requirements for Installing Android Studio</li><li>Video: Exploring Android Studio </li><li>Lab: Installing Android Studio Locally</li><li>Lab: Getting Started with Android Studio</li><li>Practice Quiz: Introduction to Android Development</li><li>Module Summary: Introduction to Android Development</li><li>Graded Quiz: Graded Quiz: Introduction to Android Development </li></ul><div><strong>Module 2: Developing Android Apps </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Exploring Android Emulators </li><li>Video: User Interface Concepts in Android </li><li>Video: Interactions in Android </li><li>Video: Layout, Widgets, and Notifications in Android </li><li>Reading: Java Basics for Android Development</li><li>Lab: Creating an Android App User Interface – Login Screen</li><li>Lab: Creating an Android App User Interface – Registration Screen</li><li>Lab: Connecting Login and Registration Screens</li><li>Reading: Leveraging Gemini AI in Android Studio</li><li>Lab: Leveraging Gemini AI in Android Studio</li><li>Practice Quiz: Developing Android Apps</li><li>Module Summary: Developing Android Apps</li><li>Graded Quiz: Developing Android Apps </li></ul><div><strong>Module 3: Final Project </strong></div><ul><li>Reading: Final Project Overview</li><li>Final Project: Create a Daily Fitness Tracker App</li><li>Reading: Course Glossary: Android App Development Fundamentals</li></ul><div><strong>Module 4: Course Wrap-Up </strong></div><ul><li>Video: Course Wrap-Up </li><li>Congratulations and Next steps</li><li>Team and Acknowledgment</li></ul><div><strong>Course Rating and Feedback <br /></strong><br /></div><ul><li>Course Rating and Feedback</li></ul><div>Recommended Background <br /><br /></div><div>This is an <strong>intermediate-level</strong> course. To succeed, learners should have: </div><ul><li><strong>Basic programming experience</strong>, preferably in <strong>Java, Kotlin, or Python</strong>—you should be familiar with concepts like variables, loops, conditionals, and functions. </li><li><strong>Some exposure to object-oriented programming (OOP)</strong> principles is recommended, as Android development is OOP-centric. </li><li><strong>Familiarity with UI/UX fundamentals</strong>, as it will be helpful, though not mandatory. </li><li>A laptop or desktop (Windows, macOS, or Linux) that meets the system requirements for installing and running Android Studio. </li></ul><div> </div><div><br /></div>
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Android App Development Fundamentals

Kickstart your Android app development journey using Android Studio, UI design, and AI tools, and build your first fitness tracker app—no coding experience required. 

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  <div>Ready to build powerful Generative AI (GenAI) skills that can enhance every phase of the program management lifecycle, from planning and delivery to closure and value realization?<strong> </strong>  <br /><br /></div><div><strong>What You Will Learn</strong> </div><ul><li>Apply GenAI to improve decision-making, risk management, and strategic alignment across the program lifecycle </li><li>Use GenAI to drive stakeholder engagement, program planning, and real-time governance </li><li>Build AI-enhanced deliverables through hands-on labs in program strategy, execution, and knowledge transfer </li><li>Explore responsible AI adoption through ethical frameworks, governance practices, and risk mitigation strategies </li></ul><div> <strong><br />Course Overview</strong> <br /><br /></div><div>According to McKinsey, more than 75% of executives expect GenAI to significantly change how they manage projects and programs in the next few years. Program managers with the skills to enhance performance, reduce risk, and deliver greater strategic outcomes are in high demand!  <br /><br /></div><div>This course gives program professionals the GenAI skills to lead programs in today’s AI-augmented environment. You’ll learn how to integrate GenAI into every phase of the <strong>Program Lifecycle</strong>, Definition, Delivery, and Closure, aligning with the latest edition of PMI’s Standard for Program Management. From validating a business case to mapping stakeholder communication plans, identifying benefits, and closing with post-program knowledge transfer, you’ll gain practical GenAI  skills to enhance these processes.  <br /><br /></div><div>You’ll explore use cases such as AI-assisted stakeholder analysis, real-time risk monitoring, knowledge management, and benefits realization. You’ll also discover how AI improves program governance, supports data-driven decision-making, and helps deliver greater value to stakeholders. Plus, you’ll develop key artifacts using AI tools and frameworks aligned to strategic objectives.  <br /><br /></div><div>Ethical AI use is also a core focus. You'll examine responsible AI governance, recognize and mitigate algorithmic bias, and address data privacy challenges in program management, ensuring you adopt GenAI in ways that are trustworthy and aligned with professional standards.<br />Through interactive labs and a <strong>guided capstone project</strong>, you’ll then apply GenAI in real-world scenarios, producing program planning documents, risk registers, stakeholder maps, and value assessments. Great assets for your professional portfolio.  <br /><br /></div><div>If you’re a program professional keen to drive innovation and success in the age of GenAI, <strong>enroll now and get ready to lead the future of program delivery.</strong> <br /><br /></div><div><strong>Prerequisites</strong> </div><div>This is an <strong>intermediate-level course</strong>. It’s recommended that learners have foundational knowledge of program or project management principles. Prior exposure to AI is not required. Technical concepts are introduced in a beginner-friendly manner. <br /><br /></div><div><strong>Related Professional Certificate</strong> <br /><br /></div><div>This course is part of the <strong>GenAI: Game Changer Program Management Specialization</strong>, designed to equip program professionals with AI-powered decision-making, planning, and governance skills. Completing the full program helps you build a comprehensive portfolio of GenAI-enhanced deliverables and prepares you for leadership roles in program or transformation management<br /><strong><br />Course Syllabus</strong> <br /><br /></div><div><strong>Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: How to Make the Most of This Course </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Program Management and Generative AI</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Generative AI for Program Management </li><li>Video: How Program Managers Leverage Generative AI </li><li>Video: Implementing Generative AI in Program Management </li><li>Reading: Case Study: Successful AI Implementations in Program Management </li><li>Lab: AI Opportunities in Program Planning, Delivery, and Closure </li><li>Video: Generative AI's Role in Managing the Program Management Domains </li><li>Reading: Review of Program Management Principles </li><li>Reading: Leveraging AI to Enhance Principle Excellence </li><li>Video: Using AI for Stakeholder Communication and Collaboration </li><li>Video: AI for Innovation and Benefits Identification </li><li>Reading: How AI Builds on Past Program Insights </li><li>Video: AI to Improve Stakeholder Experience and Value Delivery </li><li>Video: AI for Program Task Optimization </li><li>Lab: AI Opportunities in a Program Case Study </li><li>Practice Quiz: Program Management and Generative AI </li><li>Reading: Module Summary: Program Management and Generative AI </li><li>Graded Quiz </li></ul><div> <strong>Module 2: Harnessing the Power of Generative AI in Program Management</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: AI for Strategic Program Planning </li><li>Video: AI for Program Planning and Reporting </li><li>Video: AI for Risk Management and Mitigation Strategies </li><li>Lab: AI for Program Data Analysis and Visualization </li><li>Video: The Future of AI in Program Management </li><li>Video: AI Risks in Large-Scale Programs </li><li>Reading: Challenges with Generative AI </li><li>Video: Using AI to Manage and Share Knowledge </li><li>Reading: Ethical Considerations in AI-Driven Programs </li><li>Video: Overcoming Bias in AI Models </li><li>Video: Risks of AI in Program Execution </li><li>Lab: AI Ethics in Program Decision-Making </li><li>Practice Quiz: Harnessing the Power of Generative AI in Program Management </li><li>Reading: Module Summary </li><li>Graded Quiz </li></ul><div><strong>Module 3: Guided Project, Final Assessment, and Course Wrap-Up</strong> </div><ul><li>Reading: Module Introduction and Learning Objective </li><li>Reading: Project Overview </li><li>Lab: Guided Project – AI-Driven Program Planning and Benefits Realization </li><li>Final Exam: Generative AI: A Game Changer for Program Managers </li></ul><div><strong>Course Wrap-Up</strong> </div><ul><li>Video: Course Wrap-Up </li><li>Reading: Cheat Sheet – Common Prompts for Program Managers </li><li>Reading: Glossary </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Course Team and Acknowledgments </li><li>Reading: Course Rating and Feedback </li><li><br /></li></ul><div><br /><br /></div><div><br /><br /></div><div><strong><br /></strong><br /></div><div><br /><br /><br /></div>
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Generative AI Skills for Program Managers

Get hands-on using generative AI for program management to boost decision-making, reduce risks, and deliver strategic value across the program lifecycle. 

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  <div> Take your teaching to a new level with generative AI (GenAI) skills that enable you to design personalized, inclusive, and dynamic learning experiences and improve student engagement and performance.  <br /><br /></div><div><strong>What you will learn</strong><em> </em> <br /><br /></div><ul><li>Gain practical AI skills that enhance your teaching and learning strategies and help you work faster and more effectively </li><li>Create personalized content aligned with learner needs and engagement goals  </li><li>Design AI-powered lesson plans to support dynamic, objective-driven instruction  </li><li>Apply ethical AI practices to safeguard privacy and promote inclusive education  </li></ul><div> <br /><strong>Course Overview</strong><em> </em> <br /><br /></div><div>Education systems worldwide are rapidly integrating AI, with 86% of educators reporting increased efficiency using AI tools. The need for educators to skill up in GenAI is growing fast! This course gives educators, instructional designers, and trainers the job-ready skills needed to harness GenAI to automate content generation, design lesson plans, support diverse learning needs, streamline assessment, and more.  <br /><br /></div><div>You’ll begin by exploring GenAI tools such as <strong>ChatGPT</strong>, <strong>Claude, IBM watsonx</strong>, and <strong>Khanmigo</strong> to create personalized learning materials. Learn to select appropriate tools using an evaluation framework and implement them to generate text, video, and adaptive content. You’ll also explore AI’s<br />potential in inclusive education and special needs learning.  <br /><br /></div><div>Next, you’ll integrate AI into curriculum design and lesson planning. You’ll develop AI-powered assessments and feedback loops, use AI teaching assistants, and explore blended learning strategies for improved performance tracking.  <br /><br /></div><div>Then you’ll focus on ethical AI use in education, exploring responsible data practices, bias mitigation, and strategies to ensure safe and equitable learning. Through scenario-based case studies and SME perspectives, you’ll learn to navigate ethical dilemmas confidently.  <br /><br /></div><div>Finally, in a capstone project, you’ll apply what you’ve learned to design a GenAI-enhanced lesson plan tailored to your learners’ needs.  Whether you’re keen to transform your classroom, improve engagement, or reduce admin tasks, this course GenAI-powered skills that will help you excel in education. <strong>Enroll today!</strong> <br /><br /></div><div><strong>Prerequisites</strong><em> <br /></em>No prior AI or programming experience is required. It’s ideal for educators, instructional designers, training managers, and anyone looking to apply AI in education or workplace learning. <br /><br /><strong>GenAI: Empowering Education and Training Specialization</strong> </div><div> This course is part of the GenAI: Empowering Education and Training Specialization. If you're planning to upskill or reskill for the AI-powered future of learning, we recommend completing the full program. In just a few weeks, you’ll gain practical experience, build AI-enhanced learning materials, and earn credentials that demonstrate your readiness for modern educational roles. <br /><br /></div><div><strong><br />Syllabus <br /></strong><br /></div><div><strong>Module 0: Welcome </strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: Helpful Tips for Course Completion</li></ul><div><strong>Module 1: GenAI Tools and Personalized Learning </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Introduction to GenAI in Education </li><li>Video: Evaluating AI Tools for Educational Use </li><li>Video: Tool Selection Framework </li><li>Lab: AI Tool Evaluation for Creative Writing</li><li>Expert Viewpoints: Meet the Experts </li><li>Expert Viewpoints: The Future of AI Tools in Education </li><li>Reading: AI Tool Comparison Guide</li><li>Video: Principles of AI-Enhanced Personalization </li><li>Video: Using ChatGPT for Content Creation </li><li>Lab: Content Generation Workshop</li><li>Video: Creating Video Content Using Generative AI </li><li>Video: Advanced Content Customization Techniques </li><li>Lab: Video Generation Workshop with Synthesia </li><li>Video: Expert Viewpoints: Success Stories in Personalized Learning </li><li>Video: AI in Special Education and Creating Inclusive Learning </li><li>Video: Expert Viewpoints: Making Education More Accessible Through AI </li><li>Reading: Content Personalization</li><li>Practice Quiz: GenAI Tools and Personalized Learning</li><li>Module 1 Summary and Highlights: GenAI Tools and Personalized Learning</li><li>Glossary: GenAI Tools and Personalized Learning</li><li>Module 1 Graded Quiz: GenAI Tools and Personalized Learning </li></ul><div><strong>Module 2: AI Integration and Performance Assessment </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Fundamentals of AI Integration </li><li>Video: Lesson Planning with Generative AI Tools </li><li>Video: Curriculum Alignment Strategies </li><li>Lab: Lesson Plan Development</li><li>Video: Expert Viewpoints: Transforming Traditional Lessons </li><li>Reading: AI Integration Best Practices</li><li>Reading: AI Tutors and Teaching Assistant</li><li>Reading: Blended Learning Strategies </li><li>Video: AI-Powered Assessment Design </li><li>Video: Data Analysis for Educators </li><li>Video: Creating Effective Feedback Loops </li><li>Lab: Assessment Development Workshop with GenAI </li><li>Video: Expert Viewpoints: The Future of Educational Assessment </li><li>Reading: Assessment Strategy Guide</li><li>Module 2 Practice Quiz: AI Integration and Performance Assessment</li><li>Module 2: Summary and Highlights: AI Integration and Performance Assessment</li><li>Module Glossary: AI Integration and Performance Assessment</li><li>Module 2: Graded Quiz: AI Integration and Performance Assessment </li></ul><div><strong>Module 3: Ethics and Privacy </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Ethical Framework for AI in Education </li><li>Video: Data Privacy Protection Strategies </li><li>Video: Bias Recognition and Mitigation </li><li>Video: Expert Viewpoints: Ethical AI Implementation </li><li>Reading: Ethics Guidelines</li><li>Activity: Navigating Ethical AI Dilemmas</li><li>Module 3 Practice Quiz: Ethics and Privacy</li><li>Module 3 Summary and Highlights: Ethics and Privacy</li><li>Module Glossary: Ethics and Privacy</li><li>Module 3: Graded Quiz: Ethics and Privacy </li></ul><div><strong>Module 4: Final Project and Final Exam </strong></div><ul><li>Video: Expert Viewpoints: Project Success Stories </li><li>Project Overview: Implementing GenAI for Creating Lesson Plan </li><li>Final Project Lab: Implementing GenAI for Creating Lesson Plan</li><li>Project Submission and Evaluation: Implementing GenAI for Creating Lesson Plan</li><li>Final Exam: GenAI Skills for Education and Training Professionals </li><li>Retake Exam</li></ul><div><strong>Module 5: Course Wrap-Up </strong></div><ul><li>Video: Course Wrap-Up and SME Montage </li><li>Video: Expert Viewpoints: The Future of Education in a Generative AI World </li><li>Glossary: GenAI Skills for Education and Training Professionals</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Thanks from the Course Team</li><li>Copyright and Trademarks</li></ul><div><strong>Course Rating and Feedback </strong></div><ul><li>Course Rating and Feedback</li></ul><div><strong>Badge </strong></div><ul><li>Claim Your Badge</li></ul><div><br /><br /></div><div><br /><br /></div><div><br /><br /></div>
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GenAI Skills for Education and Training Professionals

Build powerful GenAI skills that enable you to personalize learning, design dynamic lesson plans, and improve education outcomes. No prior AI experience needed. 

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  <div>Dive into using generative AI (GenAI) to build hands-on skills that transform your digital marketing career and drive the successful results businesses need.  </div><div><strong><em>You Will learn:</em></strong> </div><div> </div><ul><li>Hands-on GenAI skills that will transform your digital marketing, including social media marketing, content creation, and communications using tools such as ChatGPT </li><li>How to use GenAI to automate and personalize content creation, including ad copy, email messages, and social media posts  </li><li>How to apply AI-driven strategies to improve SEO, digital advertising, and e-commerce experiences </li><li>A good understanding of the ethical considerations, challenges, and best practices for integrating AI into digital marketing  </li></ul><div><strong>Course Overview   </strong> </div><div> </div><div>GenAI is a gamechanger for marketers, speeding up content creation, enhancing strategy, and personalizing communications. This course gives you practical hands-on knowledge and experience of using GenAI to improve your productivity, tailored messaging, and digital marketing content.   <br /><br /></div><div>In this course, you’ll learn to use GenAI techniques and tools to automate content creation, craft compelling ad copy, and personalize emails and social media posts.<strong> </strong>You’ll explore how AI enhances digital advertising through audience targeting, creative optimization, and campaign personalization. You'll also learn to use GenAI to support SEO with smarter keyword research, content refinement, and competitive analysis, as well as its role in transforming e-commerce experiences. </div><div> </div><div>Hands-on labs and project will give you<strong> </strong>experience in generating content, tailoring campaigns, and optimizing strategies. You’ll also dive into the ethical considerations and best practices for integrating AI into marketing workflows. </div><div> </div><div>Ready to polish your skills and stand out in  the competitive world of digital marketing? Enroll today and  power up your resume with in-demand GenAI expertise—in just 3 weeks. </div><div><br /><strong>Syllabus: <br /></strong><br /></div><div> <strong>Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Helpful Tips for Course Completion </li><li>Reading: Grading Scheme </li><li>Video: Application of Generative AI in Digital Marketing  </li></ul><div><strong>Module 1: Leveraging Generative AI for Digital Advertising</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Generative AI in Digital Advertising  </li><li>Video: Creating Impactful Ad Copy with Effective Prompts </li><li>Lab: Creating Ad Copy with Generative AI  </li><li>Reading: Multilingual Content Creation </li><li>Video: Generative AI Trends in Digital Marketing  </li><li>Video: AI-Generated Images for Advertising  </li><li>Video: AI-Powered Video Creation </li><li>Lab: Creating AI-Generated Visuals  </li><li>Video: Personalized Visuals in Advertising  </li><li>Video: Emerging Trends for Generative AI-Driven Advertising  </li><li>Video: Generative AI for Creative Output  </li><li>Practice Quiz: Leveraging Generative AI for Digital Advertising </li><li>Reading: Module Summary: Leveraging Generative AI for Digital Advertising </li><li>Graded Quiz: Leveraging Generative AI for Digital Advertising </li></ul><div><strong>Module 2: Generative AI for SEO </strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Generative AI in SEO  </li><li>AI-Driven Keyword Research  </li><li>Lab: Generating Keyword Lists with Generative AI  </li><li>Video: Content Optimization for SEO </li><li>Lab: Optimizing Blog Content with Generative AI  </li><li>Video: Generating Meta Titles and Descriptions with AI  </li><li>Reading: Multilingual SEO with Generative AI  </li><li>Lab: Creating Schema Markup with Generative AI  </li><li>Practice Quiz: Generative AI for SEO </li><li>Reading: Module Summary: Generative AI for SEO  </li><li>Graded Quiz: Generative AI for SEO  </li></ul><div><strong>Module 3: Generative AI for Content Creation</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: AI-Driven Content Creation Tools  </li><li>Reading: Understanding AI-Powered Content Tools  </li><li>Video: Effective Prompts for Content Creation  </li><li>Video: Prompt Basics for Social Media  </li><li>Lab: Exploring AI Writing Tools  </li><li>Video: Content Optimization Using AI  </li><li>Lab: Optimizing Content with Generative AI  </li><li>Video: Creating Engaging Content with AI  </li><li>Video: AI for Content Personalization  </li><li>Lab: Personalizing Content with Generative AI  </li><li>Practice Quiz: Generative AI for Content Creation </li><li>Reading: Module Summary: Generative AI for Content Creation </li><li>Graded Quiz: Generative AI for Content Creation </li></ul><div><strong>Module 4: Generative AI for E-Commerce</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Generative AI in E-Commerce  </li><li>Reading: AI-Powered Product Descriptions  </li><li>Lab: Crafting Product Descriptions with Generative AI  </li><li>Video: AI for Personalized Product Recommendations  </li><li>Lab: Generating Product Recommendations and Descriptions </li><li>Video: AI-Generated Marketing Copy for Social Media Advertising  </li><li>Video: AI-Generated Marketing Copy for Email Marketing  </li><li>Video: AI-Generated Marketing Copy for Website Banners  </li><li>Lab: Creating Marketing Copy with Generative AI  </li><li>Practice Quiz: Generative AI for E-Commerce </li><li>Reading: Module Summary: Generative AI for E-Commerce </li><li>Graded Quiz: Generative AI for E-Commerce </li></ul><div><strong>Module 5: Generative AI for Email Marketing</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Generative AI in Email Marketing  </li><li>Reading: AI-Powered Email Subject Lines  </li><li>Video: AI-Powered Messaging Application  </li><li>Video: AI-Generated Email Copy  </li><li>Video: AI-Generated Email Personalization  </li><li>Reading: AI-Generated Email Personalization  </li><li>Lab: Generating Email Subject Lines and Emails  </li><li>Video: AI-Powered A/B Testing for Email  </li><li>Video: Crafting Automated Email Messaging Based on Rules  </li><li>Reading: A/B Testing and Email Automation  </li><li>Practice Quiz: Generative AI for Email Marketing </li><li>Reading: Module Summary: Generative AI for Email Marketing </li><li>Graded Quiz: Generative AI for Email Marketing </li></ul><div><strong>Module 6: Generative AI Considerations and Final Project</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Limitations of Generative AI in Digital Marketing </li><li>Video: Concerns and Considerations about Generative AI in Digital Marketing </li><li>Reading: Best Practices in AI Content Creation  </li><li>Practice Quiz: Generative AI Considerations and Final Project </li><li>Reading: Final Project: Generative AI-Driven Digital Marketing for a Luxury Brand </li><li>Reading: Course Glossary: Generative AI Skills for Digital Marketing Professionals </li><li>Final Graded Quiz </li></ul><div><strong>Module 7: Course Wrap-Up</strong> </div><ul><li>Video: Course Wrap-Up  </li><li>Video: Best Practices for Using Generative AI in Digital Marketing  </li><li>Reading: Congratulations and Next Steps  </li><li>Reading: Course Team and Acknowledgments </li><li>Reading: Copyrights and Trademarks </li></ul><div><strong>Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li></ul><div><strong>Badge</strong> </div><ul><li>Reading: How to Claim Your Certificate </li><li>Reading: Claim Your Badge Here </li><li>Reading: Frequently Asked Questions </li></ul><div><br /><strong>Recommended Background: </strong><br />The course is designed for digital marketers, small business owners, solo entrepreneurs, and freelance writers interested in leveraging generative AI in their work. A basic understanding of digital marketing principles and a foundational understanding of generative AI is recommended.</div>
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Generative AI Skills for Digital Marketing Professionals

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