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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 Architect 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

<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 iOS and Android Mobile App – 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>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>
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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>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: Game Changer 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!

<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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Java Programming: Cloud Native Fundamentals

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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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.   

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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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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

Build the hands-on GenAI skills you need to create engaging content and smarter digital marketing campaigns in just 3 weeks 

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  <div>You’ll begin by setting up your Java development environment and exploring the fundamentals of AI. Further, you’ll build hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects that employ powerful Java AI libraries. You’ll also learn to integrate your AI skills with Spring, leveraging its robust architecture to build smart applications.  </div><div> </div><div>Designed for developers with a basic understanding of Java and Spring, this course is suitable for anyone looking to enter the AI space without switching ecosystems or learning a new language. </div><div> </div><div>Ready to build the highly sought-after GenAI skills employers are actively seeking in just 3 weeks? Enroll now! </div><div><strong><br />Course Outline<br /></strong>This course consists of three modules.<br /><br /></div><div><strong>Course Syllabus</strong> <br /><br /></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: AI Fundamentals with Java </strong></div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Understanding AI Concepts in Java  </li><li>Video: Setting Up Your Java Environment for AI Development  </li><li>Lab: Environment Setup for AI Development in Java  </li><li>Video: Developing AI Algorithm in Java </li><li>Lab: Basic Prediction Model </li><li>Reading: Java Libraries for AI  </li><li>Video: Natural Language Processing with Java  </li><li>Lab: Sentiment Analysis for Product Reviews </li><li>Video: Image Recognition Basics in Java  </li><li>Reading: Popular Libraries for Image Recognition  </li><li>Lab: Product Image Recognition </li><li>Reading: Working with Deeplearning4j  </li><li>Module 1 Practice Quiz: AI Fundamentals with Java </li><li>Reading: Module 1 Summary: AI Fundamentals with Java </li><li>Reading: Glossary: AI Fundamentals with Java </li><li>Reading: Cheat Sheet: AI Fundamentals with Java </li><li>Module 1 Graded Quiz: AI Fundamentals with Java </li></ul><div> </div><div><strong>Module 2: Spring AI Integration </strong></div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Spring AI Framework  </li><li>Reading: Spring AI Architecture and Components  </li><li>Video: Setting Up Your First Spring AI Project  </li><li>Lab: Spring AI Service Layer: Customer Support Chatbot </li><li>Video: AI Service Layer with Spring  </li><li>Video: Implementing AI APIs with Spring Part 1 </li><li>Video: Implementing AI APIs with Spring Part 2 </li><li>Lab: Building a Recommendation System with Spring AI  </li><li>Video: Testing and Debugging Spring AI Applications  </li><li>Lab: Support Response Template AI Text Generator </li><li>Module 2: Practice Quiz: Spring AI Integration </li><li>Reading: Module 2 Summary: Spring AI Integration </li><li>Reading: Glossary: Spring AI Integration </li><li>Reading: Cheat Sheet: Spring AI Integration </li><li>Module 2 Graded Quiz: Spring AI Integration </li></ul><div> </div><div><strong>Module 3: Final Project and Assessment </strong></div><ul><li>Reading: Final Project Overview  </li><li>Lab: Final Project: Part A: Java AI Implementation </li><li>Lab: Final Project: Part B: Spring AI Framework Implementation </li><li>Final Project Submission </li><li>Final Exam </li></ul><div> </div><div><strong>Module 4: Course Wrap-up </strong></div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Course Wrap-Up  </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </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><br /></div><div><strong>Recommended Background</strong> </div><div>This course is designed for developers with a foundational understanding of Java and Spring. You should be familiar with core Java concepts such as variables, control flow, and object-oriented programming. A basic understanding of AI concepts is also recommended. </div>
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Generative AI Skills for Java & Spring Developers

This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for.To start, you’ll set up your Java development environment and dive into the core principles of AI. You’ll then move straight to building hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects.

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  <div>Build the sought-after generative AI (GenAI) skills employers are looking for that will help to advance your career in customer and IT support.   <br /><br /></div><div><strong><em>You Will learn:</em></strong>  <br /><br /></div><ul><li>Job-ready skills to leverage GenAI to improve your customer interactions and streamline customer support operations using tools such as ChatGPT and Claude.ai </li><li>How to leverage GenAI to automate responses, create FAQs and user guides, and enable multilingual support  </li><li>How to leverage GenAI for SOP documentation, sentiment analysis, and proactive customer support  </li><li>A good understanding of the ethical considerations, challenges, and best practices for integrating AI into customer support  </li></ul><div> </div><div><strong>Course Overview</strong>   <br /><br /></div><div>GenAI is revolutionizing how customer service and IT support teams can meaningfully engage with customers.   <br /><br /></div><div>According to Gartner, within the next 1-2 years, 80% of customer service and support organizations are expected to adopt generative AI to boost agent productivity and enhance customer experience.  Already, professionals who can leverage GenAI are in high demand.   <br /><br /></div><div>In this course, you’ll learn to use GenAI to enhance customer interactions and streamline support processes. You’ll explore how to automate responses, generate FAQs and user guides, support multiple languages, and optimize the improve lifecycle using GenAI.   <br /><br /></div><div>Further, you’ll discover how to use AI-driven chatbots for inquiries and knowledge management. Then, you’ll learn how to use GenAI to support tasks like Standard Operating Procedure (SOP) documentation, sentiment analysis, and proactive support through behavioral insights. Finally, you’ll look at ethical considerations, challenges, and best practices for AI integration in customer support.   <br /><br /></div><div>Beyond theory, this course emphasizes <strong>hands-on learning</strong>. You’ll gain practical experience using generative AI tools such as ChatGPT and Claude.ai to craft tailored prompts based on customer needs. Through guided labs, you'll build FAQs, design document templates, develop a chatbot, perform sentiment analysis, and apply AI to problem management and helpdesk optimization.  <br /><br /></div><div> <br /><br /><strong>Syllabus<br /></strong><br /></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><br /></div><div><strong>Module 1: Generative AI and Customer Support </strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Generative AI in the Customer Support Lifecycle </li><li>Video: Generative AI Tools for Customer Support </li><li>Reading: Real-World Applications of Generative AI in Customer Support</li><li>Video: Ticket Management and Resolution Using Generative AI </li><li>Video: Prompt Engineering for Effective Customer Support </li><li>Lab: Exploring Common Prompts for Generative AI in Customer Support </li><li>Video: Creating FAQs and Knowledge Bases with Generative AI </li><li>Lab: Using Generative AI to Create FAQs</li><li>Video: Training Support Agents with Generative AI Simulations </li><li>Video: Automating Call Centers with Generative AI </li><li>Lab: Creating Document Templates Using Generative AI</li><li>Practice Quiz: Generative AI and Customer Support</li><li>Module 1 Summary: Generative AI and Customer Support</li><li>Module 1 Graded Quiz: Generative AI and Customer Support</li></ul><div><br /></div><div><strong>Module 2: Advanced Concepts in Generative AI for Customer Support </strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Build a Basic Chatbot </li><li>Lab: Using Chatbots for Product Inquiries</li><li>Video: Sentiment Analysis Using Generative AI </li><li>Lab: Performing Sentiment Analysis Using GenAI</li><li>Video: Generative AI to Create SOPs </li><li>Video: Limitations and Practical Considerations of Generative AI </li><li>Video: Ethical Considerations for Using Generative AI in Customer Support </li><li>Video: Responsible Use of Generative AI in Customer Support </li><li>Practice Quiz: Advanced Concepts in Generative AI for Customer Support</li><li>Reading: Module 2 Summary: Advanced Concepts in Generative AI for Customer Support</li><li>Module 2 Graded Quiz: Advanced Concepts in Generative AI for Customer Support</li></ul><div><br /></div><div><strong>Module 3: Generative AI for Managers, Final Project, and Final Exam</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Generative AI for Customer Support Managers and Executives </li><li>Video: Data Analytics and Reports Using Generative AI </li><li>Lab: Data Analytics for Customer Support Using Generative AI</li><li>Video: Adopting Generative AI in an Organization for Customer Support </li><li>Readings: End-to-End Solutions for Customer Support with Generative AI</li><li>Practice Quiz: Generative AI for Managers and Executives</li><li>Final Project: Modernizing Health Insurance Support Operations Using Generative AI</li><li>Final Exam: Generative AI Skills for Customer Support Professionals</li></ul><div><br /></div><div><strong>Module 4: Course Wrap-Up</strong></div><ul><li>Reading: Module Introduction and Learning Objectives</li><li>Video: Course Wrap-Up </li><li>Reading: Glossary: Generative AI Skills for Customer Support Professionals</li><li>Cheat Sheet: Prompts for Common Use Cases in Customer Support</li><li>Congratulations and Next Steps </li><li>Course Team and Acknowledgment</li></ul><div><br /></div><div><strong>Course Rating and Feedback</strong></div><ul><li>Course Rating and Feedback</li></ul><div><br /></div><div><strong>Recommended Background:</strong><br />The course is designed for current or aspiring professionals in customer support or IT support. A basic understanding of customer support principles and a foundational understanding of generative AI is recommended.   </div>
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Generative AI Skills for Customer Support Professionals

 Build the hands-on GenAI skills businesses need to automate support tasks, enhance customer interactions, and optimize service operations.

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  <div>Hello, and welcome to the <strong>Generative AI for Java and Spring Development </strong>course. <br /><br /></div><div>This course is designed for Java and Spring developers looking to expand their expertise with generative AI. You’ll gain the knowledge and skills to leverage Java and Spring to design, implement, test, and deploy AI applications. You will explore how generative AI can help you build better, more useful applications with the programming language you’re already familiar with.<br /><br /></div><div>This course is part of the <a href="https://www.coursera.org/specializations/generative-ai-for-java-and-spring-developer"><strong>Generative AI for Java and Spring Developers specialization</strong></a><strong>, </strong>designed to provide you with the practical skills and knowledge to excel in program management.<br /><br /></div><h1>Course Syllabus</h1><div>Module 1: AI Fundamentals with Java</div><ul><li>Lesson 0: Welcome to the Course</li><li>Lesson 1: Getting Started with AI in Java</li><li>Lesson 2: Introduction to Java AI Libraries and Implementation</li><li>Lesson 3:  Glossary and Graded Quiz </li></ul><div>Key Topics in Module 1</div><ul><li>AI Fundamentals and Java</li><li>Java Environment Setup for AI</li><li>Java AI Libraries Overview</li><li>AI Algorithm Implementation</li><li>Neural Networks with Deeplearning4j</li><li>Sentiment Analysis Applications</li><li>Image Processing Basics</li><li>Image Recognition Implementation</li></ul><div>Module 2: Spring AI Integration</div><ul><li>Lesson 1:  SpringAI Integration</li><li>Lesson 2: Building AI Applications with Spring</li><li>Lesson 3:  Glossary and Graded Quiz  </li></ul><div>Key Topics in Module 2:</div><ul><li>Overview of Spring AI and its integration with the Spring ecosystem</li><li>Spring AI Architecture and Components</li><li>Spring AI's abstraction layers and design patterns</li><li>Configuring Spring AI projects</li><li>RESTful API design for AI services</li><li>Basic recommendation algorithms with Spring AI</li><li>Working with language models in Spring AI</li><li>Implementing text generation features</li><li>Testing Strategies for AI Applications</li><li>Common issues in Spring AI applications</li><li>Debugging tools and techniques</li><li>Deploying Spring AI Applications</li></ul><div>Module 3: Final Project, Final Assessment, and Course Wrap-Up</div><ul><li>Lesson 1: Final Project</li><li>Lesson 2: Final Graded Quiz and Course Wrap-Up</li></ul><div><br /></div><h1><strong>Prerequisites</strong></h1><div>This course is recommended for developers looking to level-up their development careers using generative AI. Basic Java programming and AI knowledge is required. We encourage you to complete a program similar to one of the following if you do not have Generative AI experience:</div><div><br /></div><ol><li><a href="https://www.coursera.org/learn/generative-ai-introduction-and-applications">Generative AI: Introduction and Applications</a></li><li><a href="https://www.coursera.org/learn/generative-ai-prompt-engineering-for-everyone?">Generative AI: Prompt Engineering Basics</a></li><li><a href="https://www.coursera.org/learn/generative-ai-elevate-software-development-career?specialization=generative-ai-for-software-developers">Generative AI: Elevate your Software Development Career</a></li></ol><div><br /></div><h1>Learning <strong>Objectives</strong></h1><div>After completing this course, you will be able to:</div><ul><li>Explain AI concepts and set up a Java dev environment optimized for developing AI-powered applications with Java.</li><li>Build AI application features using Java and implement neural networks using Deeplearning4j for NLP, image recognition, and recommendation tasks.</li><li>Design and integrate AI service layers, RESTful APIs, and components into Spring applications using best practices.</li><li>Test, debug, deploy, and manage Spring AI apps with proper configuration, logging, and error handling strategies.</li></ul><div><br /></div>
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Generative AI for Java and Spring Development

<div>Kickstart your career in the high-demand field of full-stack development. In this program, you’ll master essential technologies like React, JavaScript, and Node.js—and become job-ready in under 4 months, with no prior programming experience required.<br><br>After completing this professional certificate, you will be able to:&nbsp;<br><br></div><ul><li>Identify and describe the core languages, frameworks, and tools used in full-stack JavaScript development (e.g., React, Node.js, Express, MongoDB).</li><li>Develop responsive front-end applications using HTML, CSS, JavaScript, and React to create dynamic user interfaces.</li><li>Design and deploy scalable cloud-native back-end services using Node.js, NoSQL databases, containers, microservices, and serverless architectures.</li><li>Compare different DevOps strategies and select appropriate CI/CD tools to automate software deployment pipelines.</li><li>Build a full-stack web application by integrating front-end and back-end components with RESTful APIs or GraphQL.</li><li>Apply Agile methodologies (e.g., Scrum, Kanban) to iteratively develop, test, and refine software projects in a collaborative environment.</li></ul><div><br>A full-stack JavaScript developer designs, builds, and maintains both the front-end (client-side) and back-end (server-side) of web applications using JavaScript libraries and frameworks.</div><div>In this program, you’ll learn to build, deploy, test, run, and manage cloud-native full-stack applications. Technologies covered include HTML, CSS, GitHub, JavaScript, Node.js, Express, React, DevOps, Containers, Docker, Kubernetes, NoSQL databases, Microservices, Serverless computing, and more.&nbsp;<br><br></div><div>You’ll build multiple real-world applications using front-end and back-end frameworks and deploy them using industry best practices. The final course includes exclusive interview prep tips and career support resources to help you land your dream job as a full stack developer.<br><br></div><div>By completing the program, you’ll have:</div><ul><li>A professional portfolio of projects to showcase your skills</li><li>An IBM Professional Certificate &amp; digital badge to validate your expertise</li><li>The confidence and technical proficiency to excel in interviews.</li></ul><div><br>Hands-On Learning Projects:<br><br></div><div>Throughout the program, you’ll apply your skills through practical labs and projects, including:<br><br></div><ul><li>Building a personal portfolio site with HTML, CSS, and JavaScript</li><li>Publishing open-source projects on GitHub</li><li>Developing a travel recommendation app using JavaScript APIs</li><li>Designing a budget tracker with React for the front-end</li><li>Creating a book review API with Node.js, Express, and a NoSQL database</li><li>Deploying a cloud-based guestbook app with rolling updates</li><li>Integrating a React front-end with a MongoDB back-end</li><li>Crafting a polished full-stack developer resume and portfolio</li></ul><div><br>Gain real-world experience and stand out in the competitive job market with industry-aligned projects and IBM-backed credentials.<br><br>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br><br>No prior programming experience is necessary to get started.</div>

IBM Full Stack Developer JavaScript Professional Certificate

Launch your Full-Stack Developer career with JavaScript. Build the skills and hands-on experience to get job-ready in under four months. No prior programming experience required.

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  <h1>Project Demo and Introduction</h1><div>
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</div><div>In this project, you will develop a browser extension that uses toxicity detection to analyze and filter text on a webpage. This tool will provide a simple solution to the widespread hate and negativity that permeates the Internet. The project will use a pre-trained BERT model (ToxicBERT) and an LLM (Meta's Llama 3) for text processing. The BERT model will detect toxicity past a certain threshold and the LLM will transform the text if that threshold is exceeded. Text processing will be integrated into a FastAPI app, making it easy to interface with via the JavaScript extension. Additionally, there will be steps for testing and deployment to use the extension on your local device. You will be guided through the full software development cycle, from design to build to launch. This comprehensive project will not only strengthen your programming skills but also provide hands-on experience with deploying AI in a practical application. By the end, you’ll have a working extension that leverages the power of natural language processing to address a common problem on the Internet.</div><div><br /></div><h1>A Look at the Project Ahead</h1><div>By the end of this project you will:</div><ul><li>Understand how BERT and LLMs process language in a nutshell</li><li>Use a pre-trained BERT model to detect negativity in web-scraped content</li><li>Prompt an LLM (Llama 3) to transform the text into a positive alternative</li><li>Build a FastAPI backend to wrap your text-processing pipeline</li><li>Build a simple JavaScript extension to scrape and modify the DOM</li><li>Test and debug your API within the CloudIDE</li><li>(Optional) Load and test the extension locally in your browser</li></ul><div><br /></div><h1>What You'll Need</h1><ul><li>A solid foundation in JavaScript, Web APIs and Web Development<ul><li>Familiarity with using the console to log and debug</li></ul></li><li>A basic understanding of Python classes and Object Oriented Programming</li><li>A basic familiarity with APIs and how they are interfaced</li><li>A basic understanding of Git actions and commands</li><li>(Optional) Firefox or Chrome browser for testing</li></ul>
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Build a Negativity Filtering Web Extension with GenAI

Enhance your web development and JavaScript skills by building a smart browser extension that utilizes the latest generative AI techniques. In this beginner friendly project you'll build a browser extension powered by LLMs and BERT to transform negative content. Through hands-on experience, you’ll learn how these language models process human text and discover their typical use cases. This project is the ideal launchpad for developers looking to integrate AI into their applications. Enroll now to expand your technical skills by building a tool that improves online experiences.

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  <div>In this course, you’ll learn how to use GenAI to boost efficiency, product value, and strategic alignment. </div><div> </div><div>You’ll explore how AI informs product strategy through market trend analysis, sentiment insights, and competitive benchmarking. You’ll get hands-on using GenAI tools to generate user stories, assess features, and prioritize the backlog. Plus, you’ll learn how to use AI to enhance stakeholder communication and alignment throughout development.  <br /><br /></div><div>You’ll also look at ethical AI practices such as identifying risks, addressing bias, and promoting responsible adoption in product management.  <br /><br /></div><div>Throughout, you’ll build a strong, practical understanding of how to use GenAI tools like Gemini, ChatGPT, and Copilot in hands-on labs. Plus, in a guided project, you’ll use these tools to create essential product artifacts and deliverables across the product lifecycle.<br /><br /></div><div><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 /><br /><strong>Module 1</strong>: Integrating AI into Product Ownership  </div><ul><li><strong>Lesson 0:</strong> Welcome to the Course  </li><li><strong>Lesson 1: </strong>AI’s Role in Modern Product Ownership  </li><li><strong>Lesson 2:</strong> AI-Driven Requirements and Stakeholder Engagement  </li><li><strong>Lesson 3:</strong> Summary and Assessment  </li></ul><div>  </div><div><strong>Module 2:</strong> AI-Driven End-to-End Sprint Management and Ethical Considerations  </div><ul><li><strong>Lesson 1:</strong> Enhancing Sprint Planning and Execution with AI  </li><li><strong>Lesson 2:</strong> Ethical Considerations in AI-Driven Product Ownership </li><li><strong>Lesson 3:</strong> Summary and Assessment  </li></ul><div>  </div><div><strong>Module 3</strong>: Guided Project, Final Assessment, and Course Wrap-Up </div><ul><li><strong>Lesson 1:</strong> Project: Guided AI Program Case Study  </li><li><strong>Lesson 2:</strong> Final Course Assessment  </li><li><strong>Lesson 3:</strong> Course Wrap-Up </li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>A foundational understanding of product ownership, AI concepts, and generative AI fundamentals is recommended. </div>
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Generative AI: Revolutionizing the Product Owner Role

Product Owners who can leverage generative AI have a real competitive edge. It’s a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.   

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  <div>A Jakarta EE application consists of modules that work together as one entity. An enterprise archive (EAR) is a wrapper for a Jakarta EE application, which consists of web archive (WAR) and Java archive (JAR) files. To deploy or distribute the Jakarta EE application into new environments, all the modules and resources must first be packaged into an EAR file.</div><div><br />In this guide, you will learn how to:</div><ul><li>establish a dependency between a web module and a Java library module,</li><li>use Gradle to package the WAR file and the JAR file into an EAR file so that you can run and test the application on Open Liberty, and</li><li>use the Liberty Gradle plug-in to develop a multi-module application in <a href="https://openliberty.io/docs/latest/development-mode.html#_run_multi_module_gradle_projects_in_dev_mode">dev mode</a> without having to prebuild the JAR and WAR files. In dev mode, your changes are automatically picked up by the running Liberty instance.</li></ul><div>You will build a unit converter application that converts heights from centimeters into feet and inches. The application prompts the user to enter a height value in centimeters. Then, the application processes the input by using functions that are found in the JAR file to return the height value in imperial units.</div>
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Creating a multi-module application with Gradle

You will learn how to build an application with multiple modules with Gradle and Open Liberty.

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  <div>Metasploit is one of the best-known and most used cybersecurity technologies for penetration testing (Cyber Security News). This short course gives you the job-ready skills in exploitation techniques and penetration testing using Metasploit employers are looking for.  <br /><br /></div><div>During the course, you’ll explore Metasploit’s core functionalities, gaining valuable hands-on experience in exercises that cover real-world exploitation scenarios, including network, system, and web application attacks. Plus, you’ll dive into post-exploitation tactics, persistence techniques, and attack simulations, building the skills you need for both ethical hacking and red teaming.  <br /><br />By the end of the course, you’ll be able to conduct advanced penetration tests, execute sophisticated exploits, and understand the tactics used by attackers to compromise systems. Plus, you’ll be able to identify vulnerabilities and implement effective countermeasures to defend against these threats.  <br /><br /></div><h1>Course Syllabus</h1><ul><li><strong>Module 1: Metasploit Essentials and Exploit Development: </strong>This module will introduce you to the Metasploit Framework, its installation, interface, and the foundational concepts of exploitation. </li><li><strong>Module 2: Exploit Development and Auxiliary Module Usage: </strong>This module explores auxiliary modules, session handling, and exploit development. </li><li><strong>Module 3: Post-exploitation and Attack Simulations: </strong>This module explores techniques attackers use after compromising a system, including privilege escalation, persistence mechanisms, evasion techniques, and network attack simulations.</li><li><strong>Module 4: Web and Social Engineering Attacks: </strong>This module covers exploitation techniques targeting web applications and human vulnerabilities. </li><li><strong>Module 5: Final Project: Simulated Penetration Test Using Metasploit: </strong>This module serves as the capstone for the course. In it, learners will apply all acquired skills to conduct a comprehensive penetration test using Metasploit. </li></ul><h1>Prerequisites</h1><div>To take this course, you need to:</div><ul><li>Have completed the Course: <a href="https://www.coursera.org/learn/ethical-hacking-with-kali-linux">Ethical Hacking with Kali Linux</a></li><li>Have a basic understanding of cybersecurity concepts and penetration testing methodologies</li><li>Have familiarity with Linux and Windows environments</li><li>Have exposure to networking fundamentals</li></ul>
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Exploitation and Penetration Testing with Metasploit

Metasploit is one of the best-known and most used technologies for cyber security (Cyber Security News). This short course gives you the job-ready skills in exploitation techniques and penetration testing using Metasploit employers are looking for.  During the course, you’ll explore Metasploit’s core functionalities, gaining valuable hands-on experience in exercises that cover real-world exploitation scenarios, including network, system, and web application attacks. Plus, you’ll dive into post-exploitation tactics, persistence techniques, and attack simulations.

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  <div>Gain demonstrable Java development experience you can showcase to employers with this IBM capstone project, designed to put your job-ready programming skills to work in a real-world scenario. <br /><br /></div><div>This hands-on project challenges you to implement application architecture and software development concepts and techniques as you move a clinic’s administration from paper-based workflows to an online Smart Clinic Management System.   <br /><br />During the project, you’ll put key skills into practice, including requirements gathering with an Agile framework, SQL and NoSQL database design, and architecting an MVC-based Spring Boot application with Java annotations and validations. Plus, you’ll build a frontend with HTML, CSS, and JavaScript for admins, doctors, and patients.  <br /><br />As you progress, you’ll also design key artifacts, including user stories, an architecture document, a database design document, and CI/CD plans. Then you’ll submit a public repository with all the code and the architecture design document for evaluation.  <br /><br />If you’re an aspiring software developer who wants a portfolio project that demonstrates your job-ready Java skills to prospective employers, enroll today!<br /><br />It is recommended that you complete the following courses: <br /><br />• Introduction to Software Engineering <br />• Java Programming for Beginners  <br />• Getting Started with Git and GitHub <br />• Introduction to HTML, CSS, &amp; JavaScript  <br />• Object Oriented Programming in Java <br />• Cloud Native, Microservices, Containers, and Agile <br />• Spring Framework for Java Development  <br />• Java Development with Databases<br /><br /></div><h1>Course Syllabus</h1><div><strong><br />Module 1: Project Overview and Requirements Gathering<br /></strong><br /></div><div><strong>Description: </strong>This module introduces the capstone case study and outlines key prerequisites. You’ll explore technical design and user story concepts, define architecture, identify microservices, and set up your development environment. </div><div><strong><br />Module 2: Database Designs and JPA Models</strong></div><div><strong><br />Description: </strong>In this module, you’ll design MySQL and NoSQL schemas for a healthcare portal, define keys and relationships, and create JPA models for patient, doctor, appointment, and admin. </div><div><strong><br />Module 3: Sample Data and Stored Procedures<br /></strong><br /></div><div><strong>Description: </strong>This module covers setting up the initial MySQL database and adding sample data to SQL and NoSQL databases. </div><div><strong><br />Module 4: Frontend and MVC</strong></div><div><strong><br />Description: </strong>In this module, you’ll build the MVC structure for login screens in the Smart Clinic Management app using Spring Boot and Thymeleaf. <br /><br /></div><div><strong>Module 5: Dockerize Spring Boot Application</strong></div><div><strong><br />Description: </strong>This module covers containerizing the frontend and backend of the Smart Clinic Management System using Docker. </div><div><strong><br />Module 6: Final Submission and Course Wrap-up</strong></div><div><strong><br />Description: </strong>In this final module, you’ll submit the working GitHub repository link(s) as deliverables for the Final Submission and AI-grading. </div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><strong><br />Prerequisites</strong></div><div>This course is ideal for aspiring software developers seeking to demonstrate job-ready Java skills or enhance their in-demand skills to power their careers in modern Java-based software engineering. Before you begin this course, it is essential that you complete all the preceding courses in the <br /><a href="https://www.coursera.org/professional-certificates/java-developer?"><strong>IBM Java Developer Professional Certificate:</strong></a></div><div><br /></div><ul><li><a href="https://www.coursera.org/learn/introduction-to-software-engineering?">Introduction to Software Engineering</a></li><li><a href="https://www.coursera.org/learn/java-for-programming-beginners?specialization=java-developer">Java Programming for Beginners</a></li><li><a href="https://www.coursera.org/learn/getting-started-with-git-and-github">Getting Started with Git and GitHub</a></li><li><a href="https://www.coursera.org/learn/introduction-html-css-javascript">Introduction to HTML, CSS, &amp; JavaScript</a></li><li><a href="https://www.coursera.org/learn/object-oriented-program-in-java?specialization=java-developer">Object Oriented Programming in Java</a></li><li><a href="https://www.coursera.org/learn/cloud-native-microservices-containers-devops-agile?specialization=java-developer">Cloud Native, Microservices, Containers, and Agile</a></li><li><a href="https://www.coursera.org/learn/spring-framework-for-java-development?specialization=java-developer">Spring Framework for Java Development</a></li><li><a href="https://www.coursera.org/learn/java-development-with-databases?specialization=java-developer">Java Development with Databases</a></li></ul>
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Java Development Capstone Project

Gain hands-on Java development experience that you can confidently present to employers through this IBM capstone project. It's specifically designed to apply your job-ready programming skills in a practical, real-world setting.

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  <div>Imagine analyzing bike rental data and discovering that your model predicts accurately on sunny days but fails completely during rainy rush hours. Traditional feature importance methods might tell you that both "weather" and "time" matter, but they miss how these factors work together. This is the power of understanding feature interactions—the collaborative effects that create patterns beyond what individual features reveal.</div><div><br />In this hands-on lab, you'll master Friedman's H-statistic, a powerful technique for quantifying and visualizing how features collaborate in your model's decision-making process.</div><div><br /></div><h1><strong>Project Overview</strong></h1><div>This lab teaches you to detect and measure feature interactions through a comprehensive workflow:</div><div>1️⃣ <strong>Synthetic Data Exploration</strong> - Generate datasets with controlled interaction effects to understand how the H-statistic detects relationship patterns<br />2️⃣ <strong>Visualization Techniques</strong> - Create PDP and ICE plots to visually identify where features influence each other<br />3️⃣ <strong>Interaction Quantification</strong> - Calculate pairwise H-statistics to measure exactly how strongly features collaborate<br />4️⃣ <strong>Real-World Application</strong> - Apply these techniques to the UCI Bike Sharing dataset to uncover meaningful interactions</div><div><br />By implementing the H-statistic methodology, you'll develop a deeper understanding of model behavior and reveal insights that traditional feature importance measures miss completely.</div><div><br /></div><h1><strong>What You'll Learn</strong></h1><div>By completing this lab, you will:</div><ul><li>Generate controlled datasets to understand how interactions manifest in data</li><li>Build tree-based models and analyze their interaction capabilities</li><li>Visualize feature relationships using Partial Dependence and ICE plots</li><li>Calculate and interpret H-statistics to quantify interaction strength</li><li>Identify which feature pairs most strongly influence predictions</li><li>Apply your knowledge to enhance model interpretability in real-world data</li></ul><div><br /></div><h1><strong>Who Should Do This Lab</strong></h1><div>This project is ideal for:</div><ul><li>Data scientists looking to go beyond basic feature importance analysis</li><li>ML practitioners seeking deeper model interpretability</li><li>Analysts who want to explain "why" models make certain predictions</li><li>Anyone interested in advanced feature engineering techniques</li></ul><div>No advanced statistical expertise required—basic machine learning knowledge and curiosity about model interpretation are all you need.</div><div><br /></div><h1><strong>What You Need</strong></h1><div>✅ A browser to access the lab environment<br />✅ Basic Python knowledge (understanding functions and data structures)<br />✅ Familiarity with machine learning concepts (decision trees, feature importance)</div><div><br />By the end of this project, you'll have mastered a powerful technique that transforms how you interpret machine learning models—enabling you to uncover hidden patterns that drive predictions and build more accurate models through informed feature engineering.</div>
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Master H-Statistic: Uncover & Visualize Feature Interactions

Uncover hidden relationships that traditional feature importance tools miss by learning to analyze feature interactions using the H-statistic. In this hands-on project, you'll visualize joint effects with PDP and ICE plots, and apply interaction analysis to real-world bike sharing data. Measure interaction strength in decision trees and random forests, interpret pairwise and one-vs-all H-statistics, and compare additive vs. interactive model behavior. Gain practical skills to enhance model interpretability and guide feature engineering. Build skills that boost both model insight & performance.

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  <div><strong>Imagine understanding why your model makes predictions</strong> beyond simple feature importance. What if you could identify exactly how features collaborate to influence outcomes? This is the power of <strong>feature interaction analysis using the H-statistic</strong>.</div><div><br />In this hands-on lab, you'll uncover the hidden patterns in how variables work together to affect predictions—transforming how you interpret machine learning models and engineer more effective features.<br /><br /></div><h1>Project Overview</h1><div>This lab teaches you to quantify and visualize feature interactions in a real-world bike sharing prediction scenario:</div><div>1️⃣ <strong>Feature Interaction Fundamentals</strong> - Learn why combinations of features (like time of day × workday status) can create effects that individual features alone don't capture</div><div>2️⃣ <strong>H-Statistic Calculation</strong> - Master techniques for measuring exactly how strongly features interact, both in pairs and overall</div><div>3️⃣ <strong>Practical Application</strong> - Apply these techniques to discover which feature combinations most strongly influence bike rental patterns</div><div>4️⃣ <strong>Visualization &amp; Interpretation</strong> - Translate statistical findings into actionable insights using partial dependence plots</div><div>By measuring interactions with the H-statistic calculator, you'll detect patterns like how wind affects bike rentals differently on holidays versus workdays—insights that traditional feature importance measures completely miss.<br /><br /></div><h1>What You'll Learn</h1><div>By completing this lab, you will:</div><ul><li>Understand the mathematics behind the H-statistic and how it quantifies interaction strength</li><li>Calculate both pairwise (Hij) and one-vs-all (Hj) interaction statistics</li><li>Identify the strongest feature interactions in real-world data</li><li>Visualize how features jointly influence predictions using partial dependence plots</li><li>Apply insights to improve feature engineering and model interpretation</li></ul><div><br /></div><h1>Who Should Do This Lab</h1><div>This project is ideal for:</div><ul><li><strong>Data scientists</strong> seeking deeper insights from their models</li><li><strong>ML engineers</strong> wanting to improve feature engineering through interaction analysis</li><li><strong>Analysts</strong> needing to explain complex model behavior to stakeholders</li><li><strong>AI enthusiasts</strong> interested in advanced model interpretation techniques</li></ul><div>No advanced statistics expertise required—basic machine learning knowledge and curiosity about model behavior are all you need.<br /><br /></div><h1>What You Need</h1><div>✅ <strong>A browser</strong> to access the lab environment<br />✅ <strong>Basic Python knowledge</strong> (understanding functions and data structures)<br />✅ <strong>Familiarity with machine learning concepts</strong> (decision trees, feature importance)</div><div><br />By the end of this project, you'll have mastered a powerful technique for uncovering the collaborative effects of features—enabling you to build more accurate models and explain their behaviour with unprecedented clarity.</div>
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Exploring Feature Interactions using H-Statistic

Discover hidden relationships in machine learning models with H-statistic analysis, revealing how features work together beyond their individual effects. When buying a car, colour and engine type matter but it's the red sports car with a turbo engine that really sells. In this project, learn to quantify high impact feature combinations and interpret how they influence predictions. Train decision tree models, calculate pairwise and one-vs-all interaction metrics, and analyze which feature combinations (such as holiday×windspeed) most strongly affect bike rental patterns.

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  <div>In today's rapidly evolving technological landscape, mastering fundamental AI concepts like <strong>Retrieval-Augmented Generation (RAG) </strong>and<strong> Agentic AI </strong>is no longer optional—it's essential for any aspiring software engineer or machine learning engineer trying to get their foot in the door. Businesses face challenges responding to clients' queries: teams spending endless hours answering repetitive questions that waste their valuable time. This project offers you a unique opportunity to build a customized, efficient chatbot that <strong>solves such real-world problems</strong>, allowing staff to focus on true value-adding tasks. By completing this guided project, you'll gain practical, hands-on experience in building intelligent systems that can revolutionize customer interactions and streamline operations.<br /><br /></div><h1>Who Should Enroll</h1><ul><li>Anyone interested in learning about AI agents and fundamental machine learning concepts like Retrieval-Augmented Generation (RAG)</li><li>Those looking to build specialized chatbots for domain-specific applications such as customer service, technical support, or other interactive use cases</li><li>Developers and tech enthusiasts seeking to gain practical experience with in-demand AI technologies</li></ul><div><br /></div><h1>Why Enroll</h1><div>This hands-on project delivers essential, high-demand skills that define today's technology sector. In just 30 minutes, you'll gain practical experience building AI solutions through clear visual demonstrations and accessible explanations. The course accommodates both newcomers to AI concepts and experienced developers seeking to solidify their understanding of these foundational technologies. By the end, you'll have both theoretical knowledge and practical implementation skills that are immediately applicable to real-world projects.</div><div><br /></div><h1>A Look at the Project Ahead</h1><div>Upon completing this 30-minute <strong>beginner-friendly</strong> lab, you will be able to:</div><ul><li>Build a customer service chatbot using CrewAI and LLMs</li><li>Deploy AI agents with specific roles, tools, and knowledge sources</li><li>Extract context from PDFs using Retrieval Augmented Generation (RAG)</li></ul><div><br /></div><div>
      <img src="https://author.skills.network/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsiZGF0YSI6NDc3ODcsInB1ciI6ImJsb2JfaWQifX0=--5050d8bbe068919c9c2f62d8b0608782dbd70c06/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJqcGciLCJsb2FkZXIiOnsibiI6LTF9LCJyZXNpemVfdG9fbGltaXQiOlsxMDI0LDc2OF19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--c00de100a38b9e53a1ed92d6c842daa1c865ae13/RAG%20Process.jpg" />

  
      RAG Process
  
<br /><br /></div><h1>What You'll Need</h1><div>You will build your project using the IBM Skills Network Labs, a virtual lab environment that will provide you with everything you need to complete your project. The only thing you need is a modern web browser like Chrome, Firefox, Edge, or Safari. If you would like to showcase your project or deploy it in production for others to use, we recommend deploying it to the IBM Cloud® Code Engine or a similar fully managed serverless or Kubernetes service.<br /><br /><br /></div>
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Build an Agentic RAG Customer Service Chatbot with CrewAI

Build a Retrieval-Augmented Generation (RAG) and Agentic AI chatbot with 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 application 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, in only 30-minutes!

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  <div>JavaScript is the one of the world's most widely used programming languages, powering dynamic and interactive web experiences. <br /><br /></div><div>This hands-on course provides a solid foundation in JavaScript for aspiring web, mobile, front-end, back-end, and full-stack developers.<br /><br /></div><div>You'll begin with core programming concepts, including variables, data types, and ES6 features. Through practical exercises, you'll master essential data structures like arrays and objects, while learning to manipulate webpage content using the DOM. You'll write clean, efficient JavaScript code and create interactive web pages with DOM manipulation.<br /><br /></div><div>As you progress, you'll dive deeper into JavaScript's capabilities by:</div><ul><li>Handling errors and debugging your code effectively</li><li>Working with functions, events, and string manipulation</li><li>Creating responsive interfaces through DOM traversal and styling</li><li>Implementing asynchronous operations with AJAX and API calls</li><li>Building real-world projects with confidence</li></ul><div><br /></div><div>The course combines instructional videos with interactive coding labs to reinforce your learning. You'll apply your new skills in a culminating project where you'll build a fully functional, dynamic website from scratch.</div><div>This course equips you with the JavaScript fundamentals needed for modern web development. </div><div>This course is designed for beginners with basic HTML and CSS knowledge. Familiarity with Git is recommended.</div><div><br />After completing this course, you will be able to:</div><ul><li>Explain core JavaScript concepts, including ES6 features, DOM structure, and asynchronous programming principles.</li><li>Apply array methods, string manipulations, and debugging techniques to solve coding challenges.</li><li>Differentiate between value/reference types and compare promise/async-await error-handling strategies.</li><li>Troubleshoot and fix errors in functions, events, and API responses using systematic debugging.</li><li>Modify DOM elements dynamically by traversing nodes and applying styles.</li><li>Build interactive web applications using JavaScript libraries, API data, and responsive navigation systems.</li></ul><h1>Course Syllabus</h1><div><strong><br />Module 1: Introduction to JavaScript Development</strong></div><ul><li>Lesson: Welcome to the Course</li><li>Lesson: Introduction to JavaScript</li><li>Lesson: Introduction to JavaScript Functions and Events</li><li>Lesson: Module 1 Summary, Cheatsheet and Assessment</li></ul><div><strong><br />Module 2: Arrays and Objects in JavaScript</strong></div><ul><li>Lesson: Introduction to Arrays in JavaScript</li><li>Lesson: Introduction to Objects and String in JavaScript</li><li>Lesson: Module 2 Summary, Cheatsheet and Assessment</li></ul><div><strong>Module 3: Working with DOM in JavaScript</strong></div><ul><li>Lesson: Working with DOM</li><li>Lesson: Traversing and Styling of DOM</li><li>Lesson: Module 3 Summary, Cheatsheet and Assessment</li></ul><div><strong>Module 4: JavaScript Async</strong></div><ul><li>Lesson: Requests</li><li>Lesson: Asynchronous Data Retrieval Techniques </li><li>Lesson: Module 4 Summary, Cheatsheet and Assessment</li></ul><div><strong>Module 5: Final Project</strong></div><ul><li>Lesson: Final Project</li><li>Lesson: Course Wrap Up</li></ul><div><br /></div><h1>General Information</h1><div>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>The following skills are required to be successful with this course: </div><div> </div><ul><li>Basic knowledge of HTML, CSS, JavaScript, and Git</li></ul>
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JavaScript Fundamentals

Master JavaScript Fundamentals! Build dynamic websites with hands-on labs & a final project. This course is perfect for beginners interested in web development! Learn ES6, DOM, AJAX & Async programming.

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  <div>According to recent Stack Overflow surveys, Node.js is used by about 50% of professional developers, making it the most popular server-side technology, while Express ranks as the fourth most popular web framework overall and the top server-side framework. <br /><br /></div><div>This course will equip you with the essential skills to build modern, scalable back-end applications using these industry-standard technologies.<br /><br /></div><div><strong>Hands-On Learning Experience</strong><br /><br /></div><div>Through numerous practical labs and exercises, you'll gain real-world experience:</div><ul><li>Working with Node.js modules and the event-driven architecture</li><li>Handling asynchronous operations using modern JavaScript techniques</li><li>Developing and testing REST APIs</li><li>Implementing Express middleware for enhanced functionality</li></ul><div>The course culminates in a final project where you'll build a complete book review application, giving you tangible evidence of your new skills for your professional portfolio.<br /><br /></div><div>Who Should Take This Course?<br /><br /></div><div>This course is ideal for:</div><ul><li>JavaScript developers looking to expand into back-end development</li><li>Full-stack developers wanting to strengthen their server-side skills</li><li>IT professionals seeking career advancement in web development</li><li>New graduates aiming to establish themselves in the tech industry</li><li>Developers working on cloud-based projects who need server-side expertise</li></ul><div> </div><div>By completing this course, you'll earn a certificate demonstrating your ability to develop server-side applications with Node.js and Express, work with asynchronous operations, implement routing and middleware, manage dependencies with npm, and build RESTful APIs - all highly valuable skills in today's job market.</div><div><br />After completing this course, you will be able to: </div><ul><li>Create robust server-side applications using the Node.js JavaScript runtime environment</li><li>Extend your Node.js applications with powerful third-party packages and frameworks, including Express</li><li>Master NPM (Node Package Manager) to effectively manage dependencies and modules</li><li>Develop asynchronous callback functions and promises to handle complex operations</li><li>Build RESTful APIs and implement all CRUD operations</li><li>Apply routing, middleware, and templating techniques to create efficient web applications</li><li>Implement authentication and session management for secure systems</li></ul><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to Server-Side JavaScript</strong></div><ul><li>Course Introduction: Welcome to Developing Back-End Apps with Node.js &amp; Express•3 minutes</li><li>Welcome</li><li>Course Overview</li><li>What is Back End Development?</li><li>Reading: Back-end and Front-end Development Overview</li><li>Getting Started with Node.js</li><li>Introduction to Node.js</li><li>Expert Viewpoints: Introductory Thoughts on Server-Side JavaScript and Node.js</li><li>Import and Require</li><li>Introduction to Server-Side JavaScript</li><li>Creating a Web Server with Node.js</li><li>Working with Node.js Modules</li><li>Advanced Node.js Modules</li><li>Overview of Node Package Manager</li><li>Hands-on Lab - First Server with Server-Side Java Script</li><li>Module Summary</li><li>Glossary: Introduction to Server-Side JavaScript</li><li>Cheatsheet: Introduction to Server-Side JavaScript</li><li>Practice Quiz</li><li>Graded Quiz</li><li>Discussion: Introduce yourself and why you are interested in back-end development with Node.js &amp; Express</li></ul><div><strong>Module 2: Asynchronous I/O with callback programming</strong></div><ul><li>Asynchronous I/O with Callback Programming</li><li>Creating Callback Functions</li><li>Expert Viewpoints: Using Anonymous Callback Functions in Node.js</li><li>Issues with Callbacks</li><li>Promises</li><li>Hands-on Lab: Promises and Call Back</li><li>Working with JSON</li><li>Expert Viewpoints: Using JSON &amp; JavaScript</li><li>Promises, async/await, and axios requests in Node.js and Express</li><li>Lab: Promises, Async/Await, and Axios Requests in Node.js and Express</li><li>Hands-on Lab - Async Callback Programing</li><li>Module Summary</li><li>Glossary - Asynchronous I/O with Callback Programming</li><li>Cheatsheet - Asynchronous I/O with Callback Programming</li><li>Practice Quiz</li><li>Graded Quiz</li></ul><div><br /></div><div><strong>Module 3: Express Web Application Framework</strong></div><ul><li>Extending Node.js</li><li>Expert Viewpoints: Working with Third-Party Node.js Extensions</li><li>Introduction to Web Frameworks</li><li>Express Web Application Framework</li><li>Your First Express Web Application</li><li>Expert Viewpoints: Working with Back-end JavaScript Frameworks and Express</li><li>Introduction to Middleware &amp; Routers</li><li>Routing, Middleware, and Templating</li><li>Authentication and Authorization in Node.js</li><li>Welcome to Authentication and Authorization in Node.js</li><li>Authentication in Node JS</li><li>HTTP Methods and Rest APIs</li><li>Hands-on Lab: CRUD Operations with Node.js and Express</li><li>Express Best Practices</li><li>Hands-On Lab: Express Server</li><li>Module Summary</li><li>Glossary - Express Web Application Framework</li><li>Cheatsheet - Express Web Application Framework</li><li>Practice Quiz</li><li>Graded Quiz</li></ul><div><br /><strong>Module 4: Final Project</strong></div><ul><li>Practice Project<ul><li>Hands-on Lab: Friends List Application Using Express Server with JWT</li></ul></li><li>Final Project<ul><li>Project Overview: Scenario and Review Criteria</li><li>Project Breakdown</li><li>Hands on Lab: Book Review Application</li><li>Peer Review Assignment</li><li>Module Summary</li></ul></li><li>Course Wrap Up<ul><li>Thanks from the Course Team</li><li>Congrats &amp; Next Steps</li></ul></li></ul><div><br /></div><h1>General Information</h1><div>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>The following skills are required to be successful with this course: </div><ul><li>Working knowledge of JavaScript and Git is required to succeed in this course.</li></ul>
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Back-End App Development with Node.js and Express

Master back-end development with Node.js & Express! Learn how to build REST APIs, handle async operations, use NPM, and implement authentication, using hands-on labs & a final project. 

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  <div>Developing Back-End Database Applications with Node.js &amp; MongoDB is an intermediate level course that equips developers with comprehensive skills to build secure, scalable database-driven applications. Starting with foundational database concepts, you'll explore both relational and NoSQL paradigms before diving deep into MongoDB's document-based architecture.<br /><br /></div><div>The course provides hands-on experience in setting up MongoDB environments, establishing Node.js connections, and performing data operations including queries and aggregations. You'll master authentication systems by implementing JWT security, secure password storage, and session management while learning to mitigate common vulnerabilities like CSRF attacks.<br /><br /></div><div>Through practical exercises, you'll construct robust RESTful APIs using Express.js, implement CRUD operations, endpoint design, versioning, and pagination. The curriculum covers essential production-grade skills including error handling middleware, request validation, rate limiting, and debugging techniques.<br /><br /></div><div>As you progress, you'll learn deployment strategies and performance optimization for cloud environments, including load balancing techniques. The course culminates in a capstone project where you'll integrate all concepts by building a full-stack application with user authentication, database interactions, and front-end integration - creating a portfolio-ready demonstration of your back-end development expertise.</div><div><br />After completing this course, you will be able to: </div><ul><li>Design and implement a secure RESTful API using Node.js and Express that performs CRUD operations with MongoDB, demonstrating proper endpoint architecture and error handling.</li><li>Evaluate authentication strategies by implementing JWT security, secure password storage, and session management while mitigating common vulnerabilities. </li><li>Perform database operations by constructing MongoDB queries, aggregation pipelines, and proper indexing strategies.</li><li>Develop production-ready applications by integrating request validation, rate limiting, and custom error handling middleware.</li><li>Compare deployment strategies and implement scaling solutions including load balancing for Node.js applications in cloud environments.</li><li>Apply course concepts by building and deploying a full-stack application with authentication, database integration, and frontend connectivity.</li></ul><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to Working with Databases</strong><br /><br /><strong>Welcome</strong></div><ul><li>Course Introduction</li><li>Course Overview</li><li>Helpful Tips for Course Completion</li></ul><div><strong>Introduction to Databases</strong></div><ul><li>Introduction to Data and Databases</li><li>Relational Databases</li><li>Relational Data Concepts</li><li>Non-relational Databases</li><li>Overview of NoSQL</li><li>Characteristics of NoSQL Databases</li><li>Reading: Types of NoSQL Databases</li><li>Getting started with MongoDB</li><li>Activity: Design a Database for a Product Catalog</li><li>Hands-on Lab: Implement a Product Catalog Database on MongoDB</li></ul><div><strong>Module Wrap-up and Quiz</strong></div><ul><li>Practice Assignment: Introduction to Databases</li><li>Graded Quiz: Introduction to Databases</li></ul><div><br /></div><div><strong>Module 2: Working with Node and Databases</strong></div><div><br /><strong>Introduction to working with NoSQL Databases and Node</strong></div><ul><li>Reading: MongoDB: Installation and Setup</li><li>NoSQL Databases with Node</li><li>Hands-on Lab: Connect Node with MongoDB</li><li>Manipulating Data with MongoDB</li><li>Querying Data with MongoDB</li><li>Hands-on Lab: Exploring and Manipulating Data with MongoDB with Node</li><li>Introduction to Authentication and Authorization</li><li>Implementing User Registration and Login Functionality</li><li>Secure Password Storage and Authorization</li><li>Handling User Sessions and Cookies</li><li>Hands-on Lab: Implementing User Registration and Login</li><li>Practice Assignment: Introduction to working with NoSQL Databases and Node</li></ul><div><strong>Module Wrap-up and Quiz</strong></div><ul><li>Module 2 Summary: Working with Node and Databases</li><li>Graded Quiz: Working with Node and Databases</li></ul><div><strong>Module 3: Working with REST APIs and Advanced Node Concepts</strong></div><div><br /><strong>Restful APIs</strong></div><ul><li>Introduction to RESTful APIs</li><li>Building a RESTful API with Express</li><li>Hands-on Lab: Implement RESTful API for GET and POST operation</li><li>Versioning and Pagination in RESTful APIs</li><li>Implementing CRUD Operations in RESTful APIs</li><li>Authentication and Authorization in Node</li><li>Securing RESTful APIs with JWT</li><li>Hands-on Lab: Implementing JWT Authentication in a Customer Portal API</li><li>Hands-on Lab: Create a RESTful API that allows users to perform CRUD operations</li><li>Practice Assignment: RESTful APIs</li></ul><div><strong>Module Wrap-up and Quiz</strong></div><ul><li>Module 3 Summary: Working with REST API’s and advanced Node concepts</li><li>Graded Quiz: Working with REST API’s and advanced Node concepts</li></ul><div><br /></div><div><strong>Module 4: Error Handling and Middleware<br /><br />Error Handling and Middleware</strong></div><ul><li>Introduction to Error Handling in Node</li><li>Custom Error Handling Middleware</li><li>Asynchronous Error Handling in Node</li><li>Hands-on Lab: Implementing Error Handling in Node</li><li>Request Validation and Sanitization</li><li>Rate Limiting and Throttling Requests</li><li>Logging and Debugging Node Applications</li><li>Hands-on Lab: Logging and Debugging Applications using Node and Express</li><li>Hands-on Lab: Implementing custom error handling middleware in an Express app</li></ul><div><strong>Module Wrap-up and Quiz</strong></div><ul><li>Practice Quiz: Error Handling and Middleware</li><li>Module 4 Summary: Advanced development concepts with Node</li><li>Graded Quiz: Error Handling and Middleware</li></ul><div><br /></div><div><strong>Module 5: Scaling and Deploying Applications in Node</strong></div><div><br /><strong>Scaling and Deploying Applications in Node</strong></div><ul><li>File Uploads and Handling in Node</li><li>Deploying Node Applications</li><li>Hands-on Lab: Deploying a Dockerized Node App for Customer Portals</li><li>Best Practices for Backend Development</li><li>Reading: Performance Optimization Techniques</li><li>Scaling Node Applications</li><li>Load Balancing and High Availability</li><li>Hands-on Lab: Deploying a Node app to a cloud platform</li><li>Hands-on Lab: Create a File Upload and Handling App in Node and Express</li></ul><div><strong>Module Wrap-up and Quiz</strong></div><ul><li>Practice Quiz: Scaling and Deploying Applications in Node</li><li>Module 5 Summary: Scaling and Deploying Node Applications</li><li>Graded Quiz: Scaling and Deploying Node Applications</li></ul><div><strong>Module 6: Final Project<br /></strong><br /></div><div><strong>Final Project</strong></div><ul><li>Final Project Overview</li><li>Hands-on Lab: Final Project</li><li>[Optional] Lab: Practice Project</li><li>Peer-Graded Final Project</li><li>Peer-Graded Final Project: Review Your Peers</li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Congratulations and Next Steps</li><li>Thanks from the Course Team</li></ul><div><br /></div><h1>General Information</h1><div>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>The following skills are required to be successful with this course: </div><ul><li>Working knowledge of JavaScript</li><li>Working knowledge of Node and Express</li></ul><div><br /><br /></div>
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Developing Back-end Database Applications: Node.js & MongoDB

Master Node.js & MongoDB for Back-end development! Build secure RESTful APIs, implement JWT authentication, perform CRUD operations, and deploy scalable apps. Grow your skills with hands-on labs & a final project!

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  <div>In this capstone project, you will leverage your skills to solve a real-world inspired challenge and craft an effective solution using your expertise in full stack JavaScript development.<br /><br /></div><div>This project gives you the chance to reinforce your JavaScript front-end and back-end abilities. You’ll design web front-ends using HTML and CSS, and make them dynamic and interactive using React. You will develop back-end services to connect with a MongoDB database, and set up CI/CD pipelines—all while following Agile and DevOps methodologies.<br /><br /></div><div>Throughout this capstone, you’ll apply in-demand skills, including:</div><ul><li>Designing an application architecture</li><li>Building a dynamic frontend with HTML, CSS, and the React JavaScript framework</li><li>Integrating backend services like NoSQL databases</li><li>Implementing DevOps practices such as CI/CD pipelines</li><li>Deploying a serverless application on Cloud</li><li>Developing and consuming RESTful microservices</li><li>Hosting the full solution on the cloud using Kubernetes</li></ul><div>By the end of this project, you’ll have a highly functional full-stack application to show potential employers.</div><div>Before beginning, we strongly recommend finishing all courses in the IBM Full Stack Developer – JavaScript – Professional Certificate.<br /><br />In this capstone project, you will: </div><ul><li>Design a full-stack web application architecture using JavaScript, React, Node.js, Express, and MongoDB. </li><li>Develop a dynamic frontend with React and a scalable backend with Node.js, Express, and MongoDB.</li><li>Integrate RESTful APIs and microservices to enable communication between frontend and backend components.</li><li>Implement DevOps best practices by configuring CI/CD pipelines and deploying using containers (Kubernetes) and serverless technologies.</li><li>Apply Agile methodologies by creating user stories, conducting iterative development, and testing.</li><li>Deploy the full-stack application on a cloud platform and optimize performance for real-world use.</li></ul><div><br /></div><h1>Course Syllabus</h1><div>Module 1: Project Introduction, Repository Setup, User Stories and Database Setup</div><ul><li>Lesson 0: Course Introduction</li><li>Lesson 1: Develop user stories</li><li>Lesson 2: Set up MongoDB and populate data</li><li>Lesson 3: Module summary and assessment </li></ul><div>Module 2 : Back-end APIs and Services</div><ul><li>Lesson 1 : Implement listings</li><li>Lesson 2 : Implement the search API</li><li>Lesson 3 : Implement sentiment analysis service</li><li>Lesson 4 : Module summary and assessment </li></ul><div>Module 3 : Front-end Pages</div><ul><li>Lesson 1 : Landing page and main page </li><li>Lesson 2 : Implement the details and search</li><li>Lesson 3 : Module summary and assessment </li></ul><div>Module 4 : Back-end APIs for front-end components</div><ul><li>Lesson 1 : Develop register API and implement</li><li>Lesson 2: Develop login API and implement</li><li>Lesson 3: Develop user profile API and implement</li><li>Lesson 4: Module summary and assessment </li></ul><div>Module 5: CI/CD, Containerize, and Deploy</div><ul><li>Lesson 1: CI/CD with GitHub actions</li><li>Lesson 2: Containerize and deploy the application</li><li>Lesson 3: Module summary and assessment </li></ul><div>Module 6 : Final Project Submission and Peer Review</div><ul><li>Lesson 1 : Submission </li><li>Lesson 2 : Course Wrap Up</li></ul><div> </div><h1>General Information</h1><div>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>The following skills are required to be successful with this course: </div><ul><li>Software Engineering</li><li>HTML, CSS</li><li>Git and GitHub</li><li>JavaScript </li><li>React</li><li>Node.js and Express</li><li>Cloud Native, DevOps, Agile, and NoSQL</li><li>Containers with Docker, Kubernetes, &amp; OpenShift</li><li>Microservices and Serverless</li><li>MongoDB</li></ul>
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Capstone Project: Full Stack JavaScript

Demonstrate your Full Stack JavaScript development expertise through this Capstone Project! Create front-end components, develop back-end services to connect with a MongoDB database, and set up CI/CD pipelines.

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  <div>With the rise of massive visual datasets and multimodal models like CLIP, we now have powerful tools to understand and organize visual media in entirely new ways. This guided project explores how to use CLIP image embeddings to create an  "flower map"—a visual map of relationships between images of flowers based on their semantic content. Instead of organizing images by filename or metadata, we’ll use deep learning to position similar images close to each other in a low-dimensional space, enabling intuitive and visually meaningful exploration. Whether you're a machine learning enthusiast, a botanist, or simply curious about how machines "see" images, this project offers a creative and practical application of state-of-the-art models for visual understanding.<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>Compute and explore image embeddings</strong>: Learn how to use the CLIP model to convert flower images into numerical vectors that capture their visual and conceptual features.</li><li><strong>Visualize high-dimensional data</strong>: Apply dimensionality reduction techniques to project embeddings into 2D and create visually engaging plots that reveal clusters and relationships in your image dataset.</li><li><strong>Build a semantic image map</strong>: Construct a visual map where similar images naturally group together, enabling intuitive exploration of large collections without labels or manual categorization.</li></ul><h1><strong>Who Should Enroll</strong></h1><ul><li><strong>Researchers</strong> across disciplines interested in using visual semantic maps to automatically discover patterns in large datasets that would be impossible to detect manually. Scientists studying everything from medical imaging to archaeological artifacts can use these tools to identify clusters, outliers, and relationships that reveal new insights about their subjects.</li><li><strong>Machine Learning Enthusiasts </strong>with a basic to intermediate understanding of ML concepts who want to experiment with powerful pretrained models like CLIP. This project will provide a practical and creative walkthrough of multimodal models and teach useful concepts like embedding generation, dimensionality reduction, and visualization.</li><li><strong>Hobbyists</strong> <strong>of anything</strong>! Whether it's flowers, antique coins, or rocks, a semantic search engine lets hobbyists find specimens by visual similarity rather than keywords - they can upload a photo of an unknown flower or rock and instantly discover similar items in their collection or database.</li></ul><div><br /></div><h1><strong>Why Enroll</strong></h1><div>This project bridges the gap between advanced AI theory and practical application, giving you hands-on experience with one of today's most powerful multimodal models. You'll build genuinely useful personal tools that can organize and search any visual collection, from research datasets to personal photos. The skills you learn—embedding generation, dimensionality reduction, and semantic search—are foundational to modern computer vision and applicable far beyond this flower example. By the end, you'll have both working applications and the knowledge to adapt these techniques to your own visual data challenges.<br /><br /></div><h1><strong>What You'll Need</strong></h1><div>To follow along with this guided project, you should have a basic understanding of Python and some familiarity with libraries like matplotlib and PIL. Experience with Jupyter notebooks will be helpful, but not required. All necessary dependencies and datasets are available 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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Build an Image Search Engine with OpenAI's CLIP Embeddings

Learn the fundamentals of building Google's reverse image search. Build your own embeddings-based implementation from scratch using OpenAI's CLIP model. Develop a recommendation system that uses semantic image search with CLIP's multimodal embedding architecture. Discover how to visualize high-dimensional vector spaces with spatial reduction algorithms. By the end, you will have created a beautiful semantic map revealing latent relationships across unlabeled datasets.

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  <div>The demand for systems analysts is consistently strong and growing by double digits (US Bureau of Labor Statistics). If you’re looking to start a career in systems analysis, you have a lot to look forward to.  </div><div><br />This course gives non-technical professionals and business graduates the ideal introduction to the field. In just 4 weeks, you’ll build a solid foundational understanding of the role, responsibilities, and skills required to build a rewarding career in systems analysis.  <br /><br />During the course, you’ll look at key concepts such as system development life cycle (SDLC), requirement gathering, process modeling, and feasibility analysis. You’ll explore methodologies such as Agile and Waterfall and discover essential tools for system documentation and design.   <br /><br />You’ll learn to identify systems issues and consider their impact on business processes. Plus, you’ll enhance your problem-solving, critical thinking, and communication skills, helping you to bridge the gap between business needs and technical solutions in your future career.    <br /><br />If you’re looking to kickoff your journey to becoming the go-to Systems Analyst employers need, get the best start you can and enroll today<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to Systems Analysis</strong></div><ul><li>Lesson 0: Welcome</li><li>Lesson 1: What is a System</li><li>Lesson 2: Understanding Systems and the Analyst’s Role in Business</li></ul><div><strong>Module 2: The Systems Analyst </strong></div><ul><li>Lesson 1: Introduction to Systems Analyst </li><li>Lesson 2: Career in Systems Analysis </li></ul><div><strong>Module 3: Tools of Systems Analyst</strong></div><ul><li>Lesson 1: Tools of Systems Analyst</li><li>Lesson 2: Applying Systems Analyst Tools in Practice</li></ul><h1><strong>Prerequisites</strong></h1><div>This course is accessible to a wide range of professionals, but having some foundational knowledge can enhance the learning experience. A bachelor’s degree in IT, Computer Science, Business, or related fields is beneficial. Equivalent work experience in IT or business operations can also be considered.<br /><br /></div><div>Understanding of software applications and business systems. Familiarity with databases, networking, or programming is a plus (but not required). Ability to analyze business problems and think logically. Experience in decision-making and process improvement is helpful.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is accessible to a wide range of professionals, but having some foundational knowledge can enhance the learning experience. A bachelor’s degree in IT, Computer Science, Business, or related fields is beneficial. Equivalent work experience in IT or business operations can also be considered.<br /><br /></div><div>Understanding of software applications and business systems. Familiarity with databases, networking, or programming is a plus (but not required). Ability to analyze business problems and think logically. Experience in decision-making and process improvement is helpful.</div>
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Introduction to Systems Analysis

Designed for aspiring Systems Analysts and Business Systems Analysts, this course intends to equip you with the foundational knowledge and practical skills needed to understand, analyze, and improve information systems within an organization. The course focuses on the key role systems analysts play in connecting business requirements with technological solutions. During this short course, you’ll explore the full scope of the System Development Life Cycle (SDLC), including planning, analysis, design, implementation, and maintenance.

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  <div>If you’re just starting out on your project management career, or extending your skillset to include Scrum and Agile methodologies, a capstone project is an excellent way to showcase your practical experience to a prospective employer. This Capstone for Scrum Masters course is designed for professionals seeking to apply foundational Scrum Master skills to a real-world scenario. It’s ideal for showcasing your team collaboration skills and ability to use project management tools in an interview!  <br /><br /></div><div>During this course, you’ll gain hands-on experience creating essential project documents, facilitating Agile processes, and leading a Scrum team to successful a project outcome.  <br /><br /></div><div>You’ll consolidate your understanding of how to initiate project launches and form effective Scrum teams. You’ll fine-tune your skills in developing working agreements and user stories, curating the product backlog, conducting relative estimation, creating the sprint backlog, generating a burndown chart, and facilitating retrospectives. Plus, as you tackle the challenges, you’ll get access to valuable templates and instructional guidance to help you build a portfolio of artifacts.  <br /><br /></div><div>Once you’ve completed this capstone course, you’ll have a portfolio of examples that show employers you’re fully equipped to lead Scrum projects, manage Agile workflows, and contribute to successful project outcomes.  <br /><br /></div><div>If you’re looking to add valuable practical Scrum Master experience to your resume, ENROLL TODAY and get ready to power up your portfolio in just 3 weeks! <br /><br /></div><div> </div><div><strong>You will learn:</strong> </div><ul><li>Build valuable hands-on experience as a Scrum Master you can showcase to an employer in just 3 weeks.  </li><li>Apply Scrum skills, create project charters, perform Stacey analysis, and identify and prioritize stakeholders with optimal engagement methods. </li><li>Create a working agreement, User Stories, product backlog, and Sprint backlog, analyze risks, and develop an Agile risk register. </li><li>Perform relative estimation for story points, calculate team velocity, develop a Kanban board, and generate a burndown chart. </li><li>Evaluate daily Scrum meeting best practices, prepare for a demo, conduct a retrospective, and discuss Scrum certification opportunities. </li></ul><div> <br /><br /></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: Grading Scheme</li></ul><div><strong>Module 1: Program and Course Introduction </strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives </li><li>Module 1 Overview and Activity Requirements </li><li>Video: Review the Contents and Purpose of a Project Charter  </li><li>Video: Review a Product Roadmap </li><li>Video: Case Study: Project Charter and Product Roadmap  </li><li>Video: Stacey Diagramming Method </li><li>Lab: Stacey Analysis </li><li>Reading: Stakeholder Identification and Engagement Methods </li><li>Reading: Project Scenario Team Overview </li><li>Video: Review a Working Agreement </li><li>Lab: Develop a Working Agreement for Your Scrum Team </li><li>Practice Quiz: Module 1: Program and Course Introduction </li><li>Reading: Module 1 Glossary: Program and Course Introduction </li><li>Graded Quiz: Module 1: Program and Course Introduction </li><li>Reading: Module 1 Summary: Program and Course Introduction </li></ul><div><strong>Module 2: Product Backlog and User Story Development </strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives </li><li>Reading: Module 2 Overview and Activity Requirements </li><li>Video: User Story and Product Backlog Review </li><li>Video: Product Vision </li><li>Lab: Create User Stories, Product Backlog and Product Vision </li><li>Video: Risk Register and Relative Estimation  </li><li>Lab: Create a Risk Register using Force Field Analysis, Perform Relative Estimation, and Update Product Backlog </li><li>Video: Velocity </li><li>Lab: Calculate Velocity </li><li>Practice Quiz: Module 2: Product Backlog and User Story Development </li><li>Reading: Module 2 Glossary: Product Backlog and User Story Development </li><li>Graded Quiz: Module 2 Product Backlog and User Story Development  </li><li>Reading: Module 2 Summary: Product Backlog and User Story Development </li></ul><div><strong>Module 3: Sprint 1 Planning and Execution </strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Reading: Module 3 Overview and Activity Requirement </li><li>Video: Sprint Backlog and Kanban Boards  </li><li>Lab: Create Sprint Backlog, Burndown Chart and Kanban Board </li><li>Reading: Project Scenario Update: What Happened in Sprint 1 </li><li>Video Sprint 1 Demo Review Demo Purpose and Planning </li><li>Lab : Daily Standup and Sprint Demo </li><li>Practice Quiz: Module 3: Sprint 1 Planning and Execution </li><li>Module 3 Glossary: Sprint 1 Backlog Development and the Sprint </li><li>Graded Quiz: Module 3 Sprint 1 Backlog Development and the Sprint </li><li>Reading: Module 3 Summary: Sprint 1 Backlog Development and the Sprint </li></ul><div><strong>Module 4: Sprint Close Out and Analysis </strong> </div><ul><li>Reading: Module 4 Introduction and Learning Objectives </li><li>Reading: Module 4 Overview and Activity Requirements </li><li>Video: Sprint 1 Retrospective Overview </li><li>Lab: Read the demo report </li><li>Reading: Closing Out a Sprint </li><li>Reading: Planning for the Next Sprint </li><li>Lab: Review Sprint 1 and Develop a Game Plan for Sprints 2 and 3 </li><li>Practice Quiz: Module 4: Sprint Close Out and Analysis </li><li>Reading: Module 4 Glossary: Sprint Close Out and Analysis </li><li>Graded Quiz: Module 4 Sprint Close Out and Analysis </li><li>Reading: Module 4 Summary: Sprint Close Out and Analysis </li></ul><div><strong>Module 5: Sprint 3- MVP Launch </strong> </div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Reading: Module 5 Overview and Activity Requirements </li><li>Video: Sprints 1 and 2 Analysis  </li><li>Lab: Develop a Sprint 3 Game Plan </li><li>Reading: Sprint 3 Complete </li><li>Reading: Planning for the Next Sprint </li><li>Lab: Refine the Product Backlog </li><li>Practice Quiz: Module 5: Sprint 3- MVP Launch </li><li>Reading: Module 5 Glossary: Sprint (MVP Launch) </li><li>Graded Quiz: Module 5 Sprint 3- MVP Launch   </li><li>Reading: Module 5 Summary: Sprint 3- MVP Launch </li></ul><div><strong>Module 6: Final Submission and Evaluation </strong> </div><ul><li>Reading: Module 6 Introduction and Learning Objectives </li><li>Reading: Module 6 Overview and Project Submission Requirements </li><li>Peer Review: Final Project </li></ul><div><strong>Module : Course Wrap-Up  </strong></div><ul><li>Reading: Congratulations from the Team </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Introduction to the Scrum Master Certification Opportunities </li><li>Bonus Module: Your Personal Portfolio and Job Search Guidan </li><li>Reading: Introduction to Bonus Lesson 3 </li><li>Reading: Explain how to develop a portfolio of Scrum Master artifacts to demonstrate your career readiness </li><li>Video: Personal Portfolio Development </li><li>Video: Resume and Job Search Tips </li><li>Course Rating and Feedback  </li><li>Reading: Feedback </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Learners who have completed all prior courses in the IBM IT Scrum Master PC or SkillUp EdTech Scrum Master Specialization. </div><div> </div><div>Upon finishing this Capstone course, you will be fully equipped to lead Scrum projects, manage Agile workflows, and contribute to successful project outcomes with a portfolio that showcases your readiness for advanced Scrum responsibilities. </div>
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Capstone Project for Scrum Masters

Gain valuable hands-on experience as a Scrum Master. Create a portfolio of key deliverables that showcase your skills managing Agile projects and build a resume that catches the eye of an employer.  

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  <div><strong>Course Description:</strong>  </div><div>The <strong>Fundamentals of Digital Marketing</strong> course provides a comprehensive introduction to the core concepts, tools, and strategies of digital marketing. This course serves as the perfect foundation for anyone aspiring to build a career in digital marketing or looking to expand their expertise in the field  </div><div>Designed for aspiring digital marketers and business owners alike, this course equips learners with the knowledge and practical skills to navigate the dynamic world of digital marketing. It covers foundational topics, such as digital marketing strategies, digital channels, digital audiences and key metrics that are being used to evaluate success. Through engaging lessons, hands-on labs, and practical projects, learners will develop the confidence to create data-driven, impactful marketing campaigns that align with business goals and industry standards.  </div><div><strong>Course Objectives:</strong>  </div><div>By the end of this course, learners will be able to:  </div><ol><li><strong>Understand the basics of digital Marketing:</strong> Gain a clear understanding of digital marketing concepts, strategies, and its relevance in the modern business environment.  </li><li><strong>Understand Key Digital Channels:</strong> Understand the various channels that are used in digital marketing, such as SEO, social media, email, PPC, and content marketing, to enhance online presence and drive engagement.  </li><li><strong>Understand Digital Strategy:</strong> Gain a clear understanding of what goes into developing a digital strategy  </li><li><strong>Learn about Digital Audiences:</strong> Understand how digital audiences are identified and the importance of demographic and psychographic profiling for digital campaigns </li><li><strong>Understand Digital Metrics:</strong> Gain an understanding of how digital performance is tracked and evaluated and the importance of ROI in evaluating digital activities.  </li><li><strong>Digital Marketing Prospects:</strong> Understand the growth opportunities in pursuing a career in digital marketing and the earning opportunities for freelancers and small business owners </li><li><strong>Apply Practical Skills through Projects:</strong> Develop hands-on expertise by applying course concepts in real-world scenarios through interactive labs and a final project.  </li></ol><div> </div><div><strong>Module 1- Introduction to Digital Marketing </strong> </div><div><strong>Description</strong>  </div><div>This module introduces you to the foundational concepts and practices in digital marketing. It provides a comprehensive overview of digital marketing, its growth, and its relevance in the modern business landscape. This module empowers you to understand digital marketing's core strategies, channels, and analytics.   </div><div>The module also explores the importance of a digital strategy and its role in business success. You will identify the key components of a digital strategy. By the end of this module, you'll have the knowledge to develop effective digital marketing strategies that align with business objectives. </div><div> </div><div><strong>Learning objectives:</strong>  </div><div>By the end of the module, you will be able to:  </div><ul><li>Explain the basics of digital marketing.  </li><li>Differentiate between digital and traditional marketing.  </li><li>Recognize how digital strategies are developed.  </li><li>Recognize the commonly used digital channels.  </li><li>Apply a digital strategy based on business objectives.  </li><li>Explain the importance of a digital strategy and identify its key components. </li><li>Explain the role of analytics in digital marketing and key digital analytics terms. </li></ul>
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Introduction to Digital Marketing

The Fundamentals of Digital Marketing course provides a comprehensive introduction to the core concepts, tools, and strategies of digital marketing. This course serves as the perfect foundation for anyone aspiring to build a career in digital marketing or looking to expand their expertise in the field  Designed for aspiring digital marketers and business owners alike, this course equips learners with the knowledge and practical skills to navigate the dynamic world of digital marketing. 

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  <div><br />In this course, you will learn about user experience (UX) and user interface (UI) design, including their differences and critical roles in successful products. You'll learn about user-centered design, design thinking, Agile methods, and how UX/UI fits into the software development lifecycle. The course also covers career paths, core skills, key tools such as Figma, and how designers collaborate within teams—giving you a solid foundation to work on real UX/UI projects.<br /><br /></div><div><br />This course is part of the <br /><a href="https://www.coursera.org/professional-certificates/ibm-ui-ux-designer">IBM UI/UX Designer Professional Certificate</a><br />. Other courses in this certificate program include:<br /><a href="https://www.coursera.org/learn/agile-development-and-scrum">Introduction to Agile Development and Scrum</a><br /><a href="https://www.coursera.org/learn/uxui-design-fundamentals-usability-and-visual-principles">UX/UI Design Fundamentals: Usability and Visual Principles</a><br /><a href="https://www.coursera.org/learn/uxui-wireframing-and-prototyping-with-figma">UX/UI Wireframing and Prototyping with Figma </a><br />(Coming soon)<br /><a href="https://www.coursera.org/learn/ux-research-and-information-architecture">UX Research and Information Architecture</a><br /> (Coming soon)<br /><a href="https://www.coursera.org/learn/ux-ui-captsone-project">Capstone Project: Applying UX/UI Design in Real World </a><br />(Coming soon)<br />If you’re interested in building on your skills, feel free to explore the other courses in this certificate program at your own pace.<br /><br /></div><div><strong><br />Prerequisites<br /></strong><br /></div><div>To get the most out of this course, basic computer literacy is needed. No prior degree, programming, or UX/UI experience is required.<br /><br /></div><div><strong>Course Objectives<br /></strong><br /></div><div>After completing this course, you will be able to:<br /><br /></div><ul><li><br />Define UX/UI design, their differences, their significance in user satisfaction, and the role of tools such as Figma in creating effective designs</li><li><br />Identify the role of UX/UI design within the product development process and how it aligns with project goals</li><li><br />Assess various UX/UI career paths, required skills, and the impact of tools and team dynamics in Agile workflows</li></ul><div><strong><br />Course Outline<br /></strong><br /></div><div><br />This course has 4 modules, which are listed below. We encourage you to set aside 2-3 hours each week to successfully complete all modules in 4 weeks. Consistency will best help you achieve your learning goals!<br /><br /></div><div><br />You will derive the maximum benefit from viewing all videos and readings and solidifying that knowledge by completing all of the labs and activities.<br /><br /></div><div><strong><br />Module 1: Understanding UX and UI Design<br /></strong><br /></div><div><br />In this module, you'll learn the foundational concepts of UX and UI design and why they matter in building successful digital products. You'll distinguish between UX and UI, explore how they work together, and observe their impact on user satisfaction and business outcomes. Through real-world examples, you'll see how great design can elevate user experiences and give products a competitive edge. By the end, you'll have a clear grasp of what UX and UI design involve and how they shape modern product development.<br /><br /></div><div><strong><br />Module 2: The Role of UX/UI in Product Design<br /></strong><br /></div><div><br />This module explores how UX/UI design applies across platforms, from websites and mobile apps to IoT devices, AR/VR, voice interfaces, and wearables. You'll learn how UX/UI integrates into the software development lifecycle (SDLC), supporting usability, functionality, and innovation at every stage. By the end, you'll understand how thoughtful design drives better products through iterative development and real-world applications.<br /><br /></div><div><strong><br />Module 3: Exploring Careers in UX/UI Design<br /></strong><br /></div><div><br />This module introduces careers in UX/UI design, covering key roles such as UX Designer, UI Designer, Product Designer, and UX Researcher, along with specializations such as Accessibility and Motion Design. You'll build core skills in wireframing, prototyping, and user research, and gain hands-on experience with tools like Figma. The module also explores team dynamics, solo vs. collaborative work, and the soft skills needed for success. By the end, you'll be equipped with the knowledge and tools to start a career in UX/UI design.</div><div><strong><br />Module 4: Final Project and Course Wrap-Up<br /></strong><br /></div><div><br />In this module, you will complete a final project and will take a final exam to test your knowledge. The module also provides guidance about the next steps after completing this course.<br /><br /></div><div><strong>Tools/Software Used<br /></strong><br /></div><div>In this course, you will use the free version of Figma. The course does not require you to purchase paid versions of tools like Figma to complete any activities. However, if you choose to upgrade to a paid version, you will need to incur the costs.<br /><br /></div><div>Congratulations on taking these steps to further your knowledge and career! Enjoy your UX/UI journey.<br /><br /></div>
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Introduction to UX/UI Design

This course provides a comprehensive overview of user experience (UX) and user interface (UI) design, their differences, and their critical roles in product success. You’ll explore the importance of UX/UI design in product development and key processes like user-centered design, design thinking, and Agile methodologies. You will also gain insight into the software development lifecycle. The course also delves into career paths, essential skills, popular design tools such as Figma, and team dynamics, equipping learners with foundational knowledge to excel in UX/UI design projects. 

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  <div>Successful digital ad campaigns generate $4.33 for every $1 spent (Statista). Marketers with strong digital advertising skills are in high demand! This course gives marketers, small business owners, D2C founders, and freelancers the foundation to run successful digital advertising campaigns.</div><div><br />During this course, you'll explore the core elements of digital advertising—search engine marketing (SEM), keyword search, bidding strategies, and ad grouping. You'll learn techniques for planning and optimizing Google search campaigns. You'll dive into B2B marketing, lead generation, advertising strategies, audience targeting, and ad formats. Plus, you'll look at all major social media platforms, including LinkedIn, Facebook, and Instagram. <br /><br />You'll also learn about shopping campaigns on Google and influencer marketing fundamentals, including selecting, evaluating, and collaborating with influencers effectively. And you will learn about how digital advertising is evolving with generative AI.   <br /><br />Through hands-on labs and real-world applications, you'll gain experience creating and optimizing campaigns using data-driven strategies. You will use tools like Shown.io and Facebook Ad Account to maximize return on investment (ROI).  <br /><br />If you're keen to build high-performing ad campaigns that generate real results, ENROLL today!<br /><br /><strong>What you'll learn</strong></div><ul><li>Build the knowledge and skills you need to run successful digital advertising campaigns in just 4 weeks. No prior experience required</li><li>Conduct keyword research and set up Google Search campaigns that are optimized for better ROI</li><li>Create and manage effective advertising campaigns on LinkedIn, Facebook, and Instagram using platform-specific tools and best practices</li><li>Analyze influencer marketing strategies, including identifying appropriate influencers &amp; evaluating campaign effectiveness through relevant metrics</li></ul><h1><strong>Course Syllabus:</strong></h1><div>This course is divided into four modules. You can complete each module at your own pace, but it’s recommended to set a goal of achieving at least one module per week.<br /><strong><br />Module 1: Fundamentals of Digital Advertising and Search Engine Marketing (SEM)<br />Module 2: B2B Lead Generation and Facebook and Instagram Advertising <br />Module 3: Shopping Campaigns and Influencer Marketing<br />Module 4: Assessment and Final Project<br /></strong><br />The module includes a final project based on the concepts covered in the course. You will refer to the glossary for the important terms used in this course. <br /><br /></div><h1>Prerequisites</h1><div>No prior experience is required in digital marketing. You should have basic computer skills and familiarity with MS Office. It is advantageous to have a fundamental knowledge of marketing concepts.  </div><div><br /></div><h1>Tools/software used</h1><div>In this course, you will use the free or trial versions of WordStream, Shown.io, Facebook Ad Account, and LinkedIn Ad Account. You are not required to add your bank or card details while accessing these tools. However, if you add your bank or card details, you will be responsible for any associated charges.<br /><br /></div>
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Digital Advertising

This course is designed for those who want to start their career or enhance their skills in digital advertising campaigns or build a career in performance marketing.

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