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  <div>As AI models become more powerful, the question shifts from "how do we train better models?" to "how do we get more from the models we already have?" Test-time compute—the practice of spending additional computational resources during inference to improve output quality—has emerged as a critical technique for enhancing model performance without retraining. This guided project explores how strategic reasoning methods like Chain-of-Thought prompting, Best-of-N sampling, and self-verification can transform a model's ability to solve complex problems. <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>Explain the concept of Test-Time Compute</strong> and its role in improving model performance during inference without additional training or fine-tuning.</li><li><strong>Apply Chain-of-Thought prompting</strong> to enable step-by-step reasoning in large language models, making their problem-solving process transparent and more reliable.</li><li><strong>Use Best-of-N sampling</strong> to generate multiple candidate outputs and select the most accurate one through systematic evaluation and comparison.</li><li><strong>Implement self-verification strategies</strong> to allow models to check and refine their own answers, creating feedback loops that improve consistency.</li><li><strong>Analyze how increasing test-time compute affects solution accuracy, consistency, and efficiency</strong>, learning when these techniques provide meaningful improvements versus diminishing returns.</li></ul><h1><strong>Who Should Enroll</strong></h1><ul><li><strong>ML engineers and AI practitioners</strong> who want to optimize model performance at inference time and understand the reasoning strategies behind recent AI breakthroughs.</li><li><strong>Developers</strong> working with LLMs who need practical techniques to improve output quality and reliability without retraining or fine-tuning models.</li><li><strong>Data scientists</strong> interested in exploring how computational budgets at inference time can be strategically allocated to enhance reasoning and problem-solving capabilities.</li></ul><h1><strong>Why Enroll</strong></h1><div>This project gives you hands-on experience with the inference optimization techniques that are reshaping how we think about AI capabilities. Rather than accepting a model's first answer, you'll learn to implement systems that reason through problems systematically, explore alternative solutions, and verify their work. <br /><br /></div><h1><strong>What You'll Need</strong></h1><div>To get the most out of this project, you should have basic Python programming skills and some familiarity with working with language model APIs. Understanding of fundamental machine learning concepts is helpful but not required. All dependencies are pre-configured in the environment, and the project runs best on current versions of Chrome, Edge, Firefox, or Safari.</div>
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Solve Challenging Problems using Advanced Prompt Engineering

Learn how Chain-of-Thought prompting, Best-of-N Sampling, and Self Verification techniques trade compute for improved LLM accuracy on logical reasoning problems. This machine learning project teaches you to unlock better AI reasoning at inference time. By the end, you'll understand how to make models think harder when it matters most.

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  <h1>About this Course</h1><div>Chatbots can save businesses up to 30% on customer support costs alone (Shopify), and AI developers with strong chatbot skills are in high demand! This Building AI Powered Chatbots Without Programming course gives aspiring AI application developers and engineers the skills businesses need to build chatbots in just 6 weeks. No programming experience required! </div><div> </div><div><strong>You Will Learn:</strong>  </div><ul><li>The job-ready chatbot skills businesses need in just 6 weeks! No programming experience required. </li><li>How to embed an AI powered recommendation system into a chatbot to ensure personalized customer service.  </li><li>How to implement and test complex workflows within chatbot actions to enhance user interactions.  </li><li>Plus, you’ll gain hands-on experience deploying a chatbot in a real-world scenario </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>Designed for students or professionals interested in creating chatbots, this course equips learners with the skills to create and deploy effective chatbot solutions without any coding requirements. </div><div> </div><div>During this course, you’ll explore what chatbots are and how they benefit businesses and users. You’ll learn about action workflows and the key features of a chatbot. You’ll dive into the high-level differences between decision-tree chatbots and generative AI chatbots. Plus, you’ll look at the concept of actions within chatbots and learn to build them using IBM watsonx Assistant.  </div><div> </div><div>Through interactive labs, you’ll also gain valuable hands-on experience applying what you’ve learned to real-world scenarios, such as creating a customer care chatbot for a flower shop. Great for talking about in interviews! </div><div> </div><div>If you’re looking to develop the essential chatbot skills employers are looking for, enroll today and get ready to power up your resume in just 6 weeks! </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>This is a beginner-level course, so no prior knowledge or programming experience is required to take this course. </div><div> </div><div><strong>IBM Specialization</strong>   </div><div> </div><div>This course is part of the IBM AI Foundations for Everyone Specialization. If you’re keen to kickstart a career in AI, we recommend you enroll for the full Specialization program and work through the courses in order. Within just a few weeks, you’ll build job-ready AI skills to enhance your AI career options and have practical experience on your resume that will catch the eye of employers! </div>
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Building AI Powered Chatbots Without Programming

Get hands-on creating intelligent, business-ready, AI-powered chatbots without any programming experience.

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  <div>Gain job-ready UX/UI skills with hands-on experience in UX research and information architecture (IA). </div><div><br />This course equips aspiring designers and web developers with in-demand skills to create user-centered digital products. <br /><br /></div><div>You’ll build a strong foundation in UX research and learn how it integrates into the product lifecycle. Explore methods for conducting user interviews and surveys using tools like Google Docs and Forms,  and turn research data into insights with affinity mapping. Analyze findings to develop user personas and use a prioritization matrix to translate user needs into actionable features. <br /><br /></div><div>Dive into IA, a key element for efficient navigation and content organization, applying card sorting and tree testing techniques. Finally, bring your skills together in a real-world-inspired project that demonstrates your ability to implement UX research and IA, perfect for showcasing in your portfolio or interviews. <br /><br /></div><h1>Learning Objectives </h1><div>• Build hands-on experience in <strong>UX research</strong> and <strong>information architecture (IA)</strong> to feature in your portfolio and interviews. </div><div>• Learn UX research fundamentals, methods, and their role in the product development process. </div><div>• Create <strong>user personas</strong> using affinity mapping and priority matrices for new features. </div><div>• Develop effective <strong>IA</strong> with card sorting and tree testing to enhance navigation and usability. <br /><br /></div><h1>Course Syllabus</h1><div>Welcome to the Course </div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview </li><li>Ungraded Pugin: Helpful Tips for Course Completion </li></ul><div>Module 1: Foundations of UX Research </div><ul><li>Learning Objectives </li></ul><div>Understanding UX Research </div><ul><li>Video: What is UX Research?  </li><li>Reading: How UX Insights Improve Business Outcomes </li><li>Video: UX Research vs. UX Design </li><li>Reading: Types of Research Methods in UX Design </li><li>Activity: When and Why to Conduct UX Research </li><li>Reading: Timing UX Research in Product Development </li><li>Lab: Getting Started with Miro </li><li>Lab: Mapping Methods to UX Design Stages </li><li>Practice Assignment: Understanding UX Research </li></ul><div>Research Methods in Practice </div><ul><li>Video: Conducting Effective User Interviews </li><li>Video: Designing Surveys with Google Forms </li><li>Lab: Design a Survey Using Google Forms </li><li>Video: Observational Studies &amp; Field Research </li><li>Reading: Writing Research Goals and Hypotheses </li><li>Reading: Field Study Best Practices </li><li>Practice Assignment: Research Methods in Practice  </li></ul><div>Summary and Assessment </div><ul><li>Module Summary: Foundations of UX Research </li><li>Graded Quiz: Foundations of UX Research </li></ul><div>Module 2: From Research to Insights </div><ul><li>Learning Objectives </li></ul><div>Synthesizing Research Data </div><ul><li>Video: Analyzing Open-Ended Survey Responses </li><li>Video: Affinity Mapping </li><li>Reading: Affinity Mapping Versus Theming </li><li>Lab: Getting started with Figma </li><li>Lab: Affinity Mapping Using FigJam </li><li>Video: Creating Personas from Real Data </li><li>Reading: Basics of Persona Creation </li><li>Practice Quiz: Synthesizing Research Data  </li></ul><div>From User Needs to Design Direction </div><ul><li>Video: Turning Research Into Features </li><li>Video: Mapping User Needs to Product Strategy </li><li>Reading: Feature Prioritization Matrix </li><li>Video: Presenting UX Findings to Teams </li><li>Reading: Writing Insight-Driven UX Recommendations </li><li>Lab: Affinity to Action: Prioritizing Features </li><li>Practice Assigment: From User Needs to Design Direction </li></ul><div>Summary and Assessment </div><ul><li>Module Summary: From Research to Insights </li><li>Graded Quiz: From Research to Insights </li></ul><div>Module 3: Designing Information Architecture </div><ul><li>Learning Objectives  </li></ul><div>Organizing Content and Navigation </div><ul><li>Video: What is Information Architecture? </li><li>Video: Flat versus Hierarchical Structures </li><li>Reading: Common IA Mistakes and Mental Models in IA Design </li><li>Video: Card Sorting in Information Architecture </li><li>Reading: Navigation Patterns in Modern Apps </li><li>Lab: Sorting the Menu Using a Card Sorting Technique </li><li>Lab: Building a Preliminary Sitemap </li><li>Practice Assignment: Organizing Content and Navigation  </li></ul><div>Testing and Finalizing IA </div><ul><li>Video: How to Build a Sitemap </li><li>Video: Tree Testing Navigation </li><li>Reading: Analyzing Tree Testing Results: Step-by-Step </li><li>Lab: Validating Sitemap Using Tree Testing </li><li>Video: Real-World IA Redesign Example: Travel Booking Website </li><li>Reading: How to Label Navigation for Clarity and Consistency </li><li>Lab: Refining BlossomRoot a Flower &amp; Plant Store Sitemap </li><li>Practice Assignment: Testing and Finalizing IA  </li></ul><div>Summary and Assessment </div><ul><li>Module Summary: Designing Information Architecture </li><li>Graded Quiz: Designing Information Architecture  </li></ul><div>Module 4: Assessment and Final Project </div><ul><li>Learning Objectives </li></ul><div>Final Project/Course Summary and Final Quiz </div><ul><li>Reading: Project Overview </li><li>Final Project: Redesign UX Research Driven Travel Planning Application </li><li>Final Submission and Evaluation  </li></ul><div>Final Assessment and Course Wrap-Up  </div><ul><li>Video: Course Wrap-Up </li><li>Course Glossary: UX Research and Information Architecture </li><li>Final Exam: UX Research and Information Architecture </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments</li></ul><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>No college degree or programming experience is required. Having basic computer literacy and a background in designing is advantageous. </div>
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UI/UX Design: Research and Information Architecture

Gain UX/UI design skills with hands-on experience in UX research and information architecture (IA). Conduct user research, create personas, design IA, and complete a portfolio-ready project.

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  <div>Showcase your systems analysis expertise in this portfolio-ready capstone course by applying your skills to design and evaluate real-world business systems. <br /><br /></div><div>In this hands-on project, you’ll streamline business processes, manage data, and integrate systems using proven systems analysis methodologies. Gather requirements, create process models with UML diagrams, design relational databases, and build interactive dashboards with Tableau or Cognos. <br /><br /></div><div>Demonstrate end-to-end skills in stakeholder management, data security, and compliance while applying techniques for business requirements documentation, process modeling, and deployment with CI/CD pipelines. <br /><br /></div><div>By the end of this course, you’ll have a comprehensive capstone project showcasing your ability to tackle real organizational challenges and improve business processes—experience you can highlight in interviews. <br /><br /></div><div>Enroll now to gain practical, career-ready experience as a systems analyst!<br /><br /></div><h1>Learning Objectives</h1><div>• Showcase practical systems analysis skills to design IT solutions that improve business operations and data management. </div><div>• Develop process models, entity-relationship diagrams, and dashboards to visualize and optimize workflows. </div><div>• Apply data quality, security, and compliance practices following industry standards. </div><div>• Create end-to-end IT solutions that meet stakeholder requirements and enable data-driven decision-making. <br /><br /></div><h1>Course Syllabus</h1><div>Welcome to the Course </div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview </li><li>Video: Project Overview </li><li>Reading: Helpful Tips for Course Completion </li></ul><div>Module 1: Project Initiation and Requirements Gathering </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: Project Initiation and Stakeholder Engagement </div><ul><li>Reading: Assignment Overview: Project Initiation and Stakeholder Engagement </li><li>Lab: Project Charter, Stakeholder Register, and Stakeholder Engagement Plan </li><li>Graded Assignment: Checklist: Project Initiation and Stakeholder Engagement </li></ul><div>Lesson 2: Requirements Gathering </div><ul><li>Reading: Assignment Overview: Requirements Gathering </li><li>Lab: Requirements Gathering </li><li>Graded Assignment: Checklist: Requirements Gathering </li></ul><div>Lesson 3: Summary and Assessment </div><ul><li>Reading: Summary and Highlights: Project Initiation and Requirements Gathering </li><li>Graded Quiz: Project Initiation and Requirements Gathering </li></ul><div>Module 2: Project Planning and Process Modeling </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: Project Planning and Risk Analysis </div><ul><li>Reading: Assignment Overview: Project Planning and Risk Analysis </li><li>Lab: Create Project Management and Risk Artifacts </li><li>Graded Assignment: Checklist: Project Planning and Risk Analysis </li></ul><div>Lesson 2: Process Modeling </div><ul><li>Reading: Assignment Overview: Process Modeling and Visualization </li><li>Lab: Create Process Models and Visualization </li><li>Graded Assignment: Checklist: Process Modeling </li></ul><div>Lesson 3: Summary and Highlights </div><ul><li>Reading: Summary and Highlights: Project Planning and Process Modeling </li><li>Graded Quiz: Project Planning and Process Modeling </li></ul><div>Module 3: Data Preparation and Visualization </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: Data Preparation and Cleaning </div><ul><li>Reading: Assignment Overview: Data Preparation and Cleaning </li><li>Lab: Analyze Business Needs and Prepare Patient Data </li><li>Graded Assignment: Checklist: Data Preparation and Cleaning </li></ul><div>Lesson 2: Basic Visualizations </div><ul><li>Reading: Assignment Overview: Basic Visualizations </li><li>Lab: Building Visualizations for Appointment and Billing Data </li><li>Graded Assignment: Checklist: Basic Visualizations </li></ul><div>Lesson 3: Advanced Dashboard Development </div><ul><li>Reading: Assignment Overview: Advanced Dashboard Development </li><li>Lab: Build Interactive Dashboards </li><li>Graded Assignment: Checklist: Advanced Dashboard Development </li></ul><div>Lesson 4: Summary and Highlights </div><ul><li>Reading: Summary and Highlights: Data Preparation and Visualization </li><li>Graded Quiz: Data Preparation and Visualization </li></ul><div>Module 4: System and Database Design </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: System Design </div><ul><li>Reading: Assignment Overview: System Design with Use Case and Sequence Diagrams </li><li>Lab: Create System Models and UML Diagrams </li><li>Graded Assignment: Checklist: System Design </li></ul><div>Lesson 2: Database Design </div><ul><li>Reading: Assignment Overview: Database Design </li><li>Lab: Database Design </li><li>Graded Assignment: Checklist: Database Design </li></ul><div>Lesson 3: Summary and Highlights </div><ul><li>Reading: Summary and Highlights: System and Database Design </li><li>Graded Quiz: System and Database Design </li></ul><div>Module 5: System Testing and Deployment Strategies </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: Test Planning and Case Design using TDD and BDD </div><ul><li>Reading: Assignment Overview: Test Planning and Case Design using TDD and BDD </li><li>Lab: Reviewing Test Plans and Creating TDD/BDD Test Cases </li><li>Graded Assignment: Checklist: Test Planning and Case Design using TDD and BDD </li></ul><div>Lesson 2: CI/CD Deployment and Monitoring Plan </div><ul><li>Reading: Assignment Overview: CI/CD Deployment and Monitoring Plan </li><li>Lab: Create a CI/CD Pipeline and Monitoring Strategy </li><li>Graded Assignment: Checklist: CI/CD Deployment and Monitoring Plan </li></ul><div>Lesson 3: Summary and Highlights </div><ul><li>Reading: Summary and Highlights: System Testing and Deployment Strategies </li><li>Graded Quiz: System Testing and Deployment Strategies </li></ul><div>Module 6: Final Submission, Evaluation, and Career Guidance </div><ul><li>Learning Objectives </li></ul><div>Lesson 1: Presentation Development, Submission, and Evaluation </div><ul><li>Reading: Assignment Overview: How to Present Your Findings </li><li>Lab: Unified IT Solution for XYZ Health Solutions </li><li>Peer Review: Project: Final Submission and Evaluation </li></ul><div>[Bonus] Lesson 2:  Building Your Resume and Portfolio </div><ul><li>Video: Guide to Resume Writing </li><li>Lab: Drafting System Analyst Resume </li><li>Video: Guide to Developing a Personal Portfolio </li><li>Lab: Developing a Personal Portfolio </li></ul><div>[Bonus] Lesson 3: Exploring Career Paths and Interview Preparation </div><ul><li>Video: Guide to Freelancing and Job Search </li><li>Lab: Planning a Job Search and Freelance Strategy </li><li>Video: Common Interview Questions and Tips </li><li>Activity: Practice Mock Interview </li></ul><div>Lesson 4: Course Wrap-Up </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgements </li></ul><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>We recommend completing all previous courses in the IBM Systems Analyst Professional Certificate before starting this capstone. </li></ul>
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Capstone Project: Systems Analyst

Demonstrate systems analysis and data management skills in this hands-on capstone. Design business systems, UML models, dashboards, and relational databases, and showcase a portfolio-ready project.

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  <div>Over 70% of software issues are discovered post-release, creating high demand for professionals skilled in testing, deployment, and system maintenance. This course equips systems analysts and architects to ensure reliable, production-ready systems.  <br /><br /></div><div>Learn to create test plans aligned with business objectives and technical requirements, track testing progress with traceability, and assess system readiness for release. Gain hands-on experience coordinating user acceptance testing, developing deployment checklists, and establishing processes that simplify launches. </div><div><br />Through practical exercises, tackle real-world deployment challenges, apply data validation techniques such as dry runs and record counts, and manage risk through structured planning and stakeholder communication. </div><div><br />By mastering testing and release frameworks, you’ll be prepared to lead teams through smooth go-lives and maintain long-term system stability. </div><div><br />Enhance your systems analysis and deployment skills and build the confidence to manage the critical final stages of the software lifecycle—enroll now! <br /><br /></div><h1>Learning Objectives</h1><div>• Plan and document testing processes, including traceability matrices, while collaborating with QA teams, developers, and key stakeholders. </div><div>• Prepare comprehensive deployment checklists detailing launch steps, go/no-go criteria, rollback strategies, and data validation methods. </div><div>• Establish critical system metrics to monitor performance post-launch, develop response plans, and drive improvements through retrospectives. </div><div>• Create a complete Testing and Release Kit featuring test strategies, validation checklists, and post-launch support to ensure smooth implementation. </div><div><br /></div><h1>Course Syllabus</h1><div>Welcome </div><ul><li>Video: Course Introduction </li><li>Reading: Course Overview </li><li>Helpful Tips for Course Completion </li></ul><div>Module 1: Testing Strategies and Practices </div><ul><li>Learning Objectives </li></ul><div>Introduction to Software Testing </div><ul><li>Video: The Importance of Testing  </li><li>Video: Testing Levels and Release Cycle </li><li>Video: Key Roles and Responsibilities in Software Testing </li><li>Video: Testing Case Study </li><li>Practice Quiz: Introduction to Software Testing </li></ul><div>Test Planning and Design </div><ul><li>Video: Test Coverage </li><li>Video: Anatomy of a Test Case </li><li>Reading: Sample Test Plan with Analyst Comments </li><li>Video: Creating and Using a Traceability Matrix </li><li>Lab: Role Play Scenario: Test Planning and Design </li><li>Lab: Review and Annotate a Test Plan for a Login System </li><li>Practice Quiz: Test Planning and Design </li></ul><div>Implementing TDD and BDD </div><ul><li>Video: TDD and BDD </li><li>Video: Benefits of Test Driven Development </li><li>Video: Benefits of BDD </li><li>Video: BDD Workflow and Gherkin Syntax </li><li>Video: Exploring TDD and BDD Through Examples </li><li>Lab: Role Play Scenario: Analyst's Role in TDD and BDD </li><li>Lab: Create TDD and BDD test cases </li><li>Practice Quiz: Implementing TDD and BDD </li></ul><div>Module Summary, Glossary, and Assessments </div><ul><li>Podcast: Software Testing Insights </li><li>Reading: Summary and Highlights: Testing Strategies and Practices </li><li>Glossary: Testing Strategies and Practices </li><li>Graded Assignment: Testing Strategies and Practices </li></ul><div> </div><div>Module 2: Deployment, Release, and Maintenance Strategies </div><ul><li>Learning Objectives </li></ul><div>Deployment and Release Management </div><ul><li>Video: Deployment versus Release: Key Concepts and Responsibilities </li><li>Video: Enabling CI/CD Planning </li><li>Video: Release Checklist Template with Roles and Approvals </li><li>Video: Rollback Strategy Essentials </li><li>Lab: Role Play Scenario: Support the Release of Software Feature </li><li>Lab: Release Plan with CI/CD Workflows </li><li>Practice Quiz: Deployment and Release Management </li></ul><div>Data Migration and Validation </div><ul><li>Video: Data Migration Basics: Legacy to New Systems </li><li>Video: Data Mapping and Validation Techniques </li><li>Video: Data Mapping: Case Study </li><li>Lab: Create a Data Migration Readiness Checklist </li><li>Lab: Role Play Scenario: Data Migration Mapping and Validation </li><li>Practice Quiz: Data Migration and Validation </li></ul><div>Post-Deployment and Continuous Improvement </div><ul><li>Video: Monitoring and Alerting: What to Track and Why </li><li>Video: Creating a Maintenance Calendar </li><li>Reading: Retrospectives and Post-Mortem Templates </li><li>Lab: Design a Monitoring Plan and Maintenance Checklist </li><li>Lab: Role Play Scenario: Post Deployment Incident Response </li><li>Practice Quiz: Post-Deployment and Continuous Improvement </li></ul><div>Module Summary, Glossary, and Assessments </div><ul><li>Podcast: Strategies for Software Deployment, Release and Maintenance </li><li>Reading: Summary and Highlights: Deployment, Release, and Maintenance Strategies </li><li>Glossary: Deployment, Release, and Maintenance Strategies </li><li>Graded Assessment: Deployment, Release, and Maintenance Strategies </li></ul><div> </div><div>Module 3: Final Project, Final Exam, and Course Wrap-Up </div><ul><li>Learning Objectives </li></ul><div>Project Planning and Design </div><ul><li>Reading: Final Project Overview </li><li>Video: Capstone Overview and Walkthrough </li><li>Reading: Planning Templates: Testing, Migration, Deployment </li><li>Final Project: Testing and Release Planning Kit </li><li>Final Project: Submission and Evaluation </li><li>Graded Assignment: Project Quiz: Testing and Release Planning Kit </li></ul><div>Final Exam and Course Wrap-Up </div><ul><li>Course Glossary: Software Testing, Deployment, and Maintenance Strategies </li><li>Graded Quiz: Final Exam </li><li>Video: Course Wrap-Up </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li></ul><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>Learners who have a basic understanding of the software development process and want to enhance their skills in software maintenance and deployment.</div>
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Deploying, Testing and Maintaining Software Systems

Master systems analysis, software deployment, testing, and deployment skills. Learn to design and manage test plans, validate data, and lead smooth, reliable software releases.

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  <div>Get ready for a hands-on learning experience where you’ll use practical tools and strategies to analyze, design, and evaluate IT systems! This course gives you in-demand IT systems design and analysis skills to advance your career in technology and business. </div><div> </div><div><strong><em>You will learn to:</em></strong>  </div><ul><li>Develop data flow diagrams, entity-relationship diagrams, and Unified Modeling Language (UML) diagrams to represent data structures, system architecture, and workflows </li><li>Analyze existing IT systems by evaluating architecture, functionality, performance, and user experience to identify gaps and recommend enhancements </li><li>Perform cost-benefit analyses, feasibility studies, and risk assessments to compare IT solution options and propose the most effective approach </li><li>Apply system analysis, modeling, and evaluation methods in a project to design a digital transformation strategy for a business </li></ul><div><strong>Course overview</strong> </div><div> </div><div>During this course, you’ll discover how to align technology with business goals. Plus, you’ll work on real-world projects using techniques such as data flow diagrams, entity-relationship diagrams, and Unified Modeling Language (UML) to visualize and enhance system performance. </div><div> </div><div>You’ll learn how system architecture, technical workflows, and enterprise tools such as ERP and CRM drive business operations. You’ll develop the skills to identify inefficiencies, assess potential solutions, and analyze feasibility and risk to guide smarter decision-making. And, by combining structured and object-oriented design techniques with business process modeling, you’ll discover how to transform user requirements into efficient, effective solutions. </div><div> </div><div>Whether you’re launching a career in systems analysis or advancing your IT expertise, this course gives you the knowledge and skills to play a vital role in creating scalable, user-centered technology solutions. <br />Enroll today and boost your resume with in-demand IT systems design and analysis skills that employers need! </div><div> </div><div><strong>Prerequisites</strong> </div><div>The course is designed for business analysts, process specialists, data analysts, project managers, product owners, and business professionals.  </div><ul><li>A basic understanding of IT concepts, such as databases, software development, or programming, is recommended.  </li><li>Familiarity with business processes, data modeling, or diagramming tools (e.g., flowcharts, ERDs, UML) is helpful but not required.  </li><li>While no advanced programming or prior system analysis experience is needed, exposure to IT systems or business operations is beneficial.  </li></ul><div><strong>Related</strong><em> </em><strong>Professional Certificate</strong> </div><div>This course is part of the <strong>IBM Systems Analyst Professional Certificate</strong>. If you’re keen to gain skills to evaluate, design, and improve computer systems and business processes, we recommend you enroll for the full Professional Certificate and work through the courses in order. Within just a few months, you’ll have job-ready skills and practical experience on your resume that will catch the eye of an employer! </div><div> </div><div><strong>Course syllabus</strong> </div><div>The course consists of the following modules </div><ul><li>System Designing and Modeling </li><li>IT Systems Analysis and Review </li><li>Solution Evaluation and Feasibility Analysis </li><li>Final Project </li></ul>
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Systems Design and Analysis

Build hands-on skills to analyze, design, and optimize IT systems using modeling tools and data diagrams to drive business efficiency and transformation. 

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  <h1>About this course</h1><div>Step into the role of a digital marketing professional with this capstone project that challenges you to design, execute, and present a full online marketing campaign for a realistic brand. Combining creativity, strategy, and analytics, this hands-on course transforms your learning into measurable results.<br /><br /></div><div>After completing this course, you will be able to: </div><ul><li>Design and execute a complete digital marketing campaign for a brand using data-driven, AI-enhanced strategies.</li><li>Create a campaign brief with defined goals, audience personas, and channel selection.</li><li>Develop SEO, content, paid advertising, and social media plans aligned with campaign objectives.</li><li>Build conversion-optimized product pages and email sequences to drive engagement and sales.</li><li>Analyze marketing data from SEO, social, and ad campaigns to improve ROI and growth outcomes.</li><li>Present and compile deliverables into a professional, portfolio-ready marketing presentation.</li></ul><div>You’ll begin by developing a comprehensive campaign strategy, defining goals, and identifying target audiences through demographic and psychographic insights. Next, you’ll design an SEO and content marketing plan that includes keyword research, blog strategies, and content calendars to drive organic growth.</div><div> </div><div>Then, you’ll move into paid advertising, where you’ll plan and execute targeted ad campaigns for platforms like Google and Meta, estimate budgets, and forecast KPIs. In the social media module, you’ll create an organic social media content plan featuring high-impact visuals, storytelling, and scheduling with tools like Canva.</div><div> </div><div>Building on these foundations, you’ll develop an e-commerce product page and personalized email marketing sequence to drive conversions, followed by data analysis for growth, where you’ll optimize campaign performance using SEO, ad, and social media data.</div><div> </div><div>Finally, you’ll compile all deliverables into a portfolio-ready presentation that demonstrates your analytical, creative, and technical marketing skills, plus you can receive career guidance on showcasing your portfolio, refining your LinkedIn profile, and navigating freelancing or job interviews.</div><div> </div><div>By the end, you’ll have the confidence, toolkit, and campaign portfolio to prove you’re ready for the next step in your digital marketing career.</div><div><br /></div><h1>General Information:</h1><ul><li>This course is self paced. </li><li>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.</li></ul><div><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>We recommend completing all previous courses in the <strong>IBM Digital Marketing and Growth Hacking Professional Certificate</strong> before starting this capstone.</li></ul><div><br /></div><h1><strong>Course Syllabus:</strong></h1><div><strong>Welcome to the Course</strong></div><ul><li>Course Introduction</li><li>Course Overview</li><li>Reading: Project Overview</li><li>Setting Campaign Goals and Objectives</li></ul><div><br /></div><div><strong>Module 1: Campaign Strategy and Audience Targeting</strong></div><ul><li>Module Summary and Learning Objectives</li><li>Module Overview: Campaign Strategy and Audience Targeting</li><li>Recap: SMART Marketing Goals</li><li>Reading: Campaign Strategy and Related Template</li><li>Lab: Define Business Goals and Write SMART Objectives</li><li>Assignment: Checklist – Setting Campaign Goals and Objectives</li></ul><div>Defining Target Audience and Channels</div><ul><li>Recap: Audience Segmentation</li><li>Reading: Choosing Channels Based on Campaign Objectives</li><li>Lab: Define Target Audience and Channel Justification</li><li>Assignment: Checklist – Defining Target Audience and Channels</li><li>Quiz: Campaign Strategy and Audience Targeting</li></ul><div><br /></div><div><strong>Module 2: SEO and Content Marketing Plan</strong></div><div><br />SEO Research and Planning</div><ul><li>Module Summary and Learning Objectives</li><li>Module 2 Overview: SEO and Content Marketing</li><li>Recap: SEO Basics and Tools</li><li>Reading: Guide to Using Keyword Research Tools</li><li>Lab: Perform Keyword Research and Write Meta Titles</li><li>Assignment: Checklist – SEO Research and Planning</li></ul><div>Content Calendar and Blog Outline</div><ul><li>Recap: Writing Content for SEO</li><li>Reading: Content Calendar Template</li><li>Lab: Plan a Content Calendar and Write a Blog</li><li>Assignment: Checklist – Content Calendar and Blog Outline</li><li>Quiz: SEO and Content Marketing Plan</li></ul><div><br /><strong>Module 3: Digital Advertising</strong></div><div><br />Campaign Setup and Ad Creation</div><ul><li>Module Summary and Learning Objectives</li><li>Module 3 Overview: Digital Advertising</li><li>Recap: SEM and Meta Ads</li><li>Reading: Sample Ad Briefs and Templates</li><li>Lab: Create Ad Copies for Google and Facebook</li><li>Assignment: Checklist – Campaign Setup and Ad Creation</li></ul><div>Targeting and Budgeting</div><ul><li>Recap: Targeting Audiences in Paid Ads</li><li>Reading: Budget Planning and KPI Forecasting</li><li>Lab: Create an Ad Targeting Plan and Estimate Budget</li><li>Assignment: Checklist – Targeting and Budgeting</li><li>Quiz: Digital Advertising</li></ul><div><br /></div><div><strong>Module 4: Social Media Content Plan<br /><br /></strong>Platform Selection and Content Planning</div><ul><li>Module Summary and Learning Objectives</li><li>Module 4 Overview: Social Media Content Plan</li><li>Recap: Social Media Strategy</li><li>Reading: Social Media Calendar Guide</li><li>Lab: Select Platform and Draft Post Ideas</li><li>Assignment: Checklist – Platform Selection and Content Planning</li></ul><div>Post Creation and Optimization</div><ul><li>Recap: Visual Design and Caption Tips</li><li>Reading: Post Template Library</li><li>Lab: Create Sample Posts</li><li>Assignment: Checklist – Post Creation and Optimization</li><li>Quiz: Social Media Content Plan</li></ul><div><strong>Module 5: E-Commerce and Email Marketing</strong></div><div><br />Product Page Design</div><ul><li>Module 5 Overview: E-Commerce and Email Marketing</li><li>Recap: Optimizing Product Listings</li><li>Reading: Product Page Template</li><li>Lab: Create a Mock Product Page</li><li>Assignment: Checklist – Product Page Design</li></ul><div>Email Campaign</div><ul><li>Recap: Writing Engaging Email Copy</li><li>Reading: Email Sequence Ideas</li><li>Lab: Write Welcome and Promotion Emails</li><li>Assignment: Checklist – Email Campaign</li><li>Quiz: E-Commerce and Email Marketing</li></ul><div><br /></div><div><strong>Module 6: Data Analysis for Growth</strong></div><div><br />SEO Optimization</div><ul><li>Module 6 Overview: Data Analysis for Growth</li><li>Recap: SEO Optimization Techniques</li><li>Reading: SEO Optimization Best Practices</li><li>Lab: Optimize SEO Data and Provide Recommendations</li><li>Assignment: Checklist – SEO Optimization</li></ul><div>Campaign Optimization</div><ul><li>Recap: Campaign Optimization</li><li>Reading: Campaign Optimization Best Practices</li><li>Lab: Optimize Campaign Data and Provide Recommendations</li><li>Assignment: Checklist – Campaign Optimization</li></ul><div>Social Media Optimization</div><ul><li>Recap: Social Media Optimization</li><li>Reading: Best Practices for Social Media Optimization</li><li>Lab: Optimize Social Data and Provide Recommendations</li><li>Assignment: Checklist – Social Media Optimization</li><li>Quiz: Data Analysis for Growth</li></ul><div><br /></div><div><strong>Module 7: Final Project, Course Wrap-Up, and Job Tips</strong></div><div><br />Final Presentation</div><ul><li>Structure of a Presentation</li><li>Best Practices for Presenting Your Findings</li><li>Lab: Preparing the Final Presentation</li></ul><div>Project Compilation and Submission</div><ul><li>Reading: Final Submission Guidelines and Deliverables</li><li>Assignment: Final Project Submission and Evaluation (AI or Peer Graded Options)</li></ul><div>Bonus: Job Hunting Tips for Digital Marketing</div><ul><li>Job Search Tips</li><li>Resume Writing and Updating Your LinkedIn Tips</li><li>Mock Interview Prep and Tips</li><li>Getting Successful as a Freelancer</li><li>Building Your Digital Portfolio</li></ul><div>Course Wrap-Up</div><ul><li>Course Wrap-Up</li><li>Congratulations and Next Steps</li><li>Thanks from the Course Team</li></ul><div><br /></div>
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Digital Marketing: Capstone Project

Apply your digital marketing and AI skills to design and execute a complete campaign. Build SEO, content, ads, social, and email strategies; analyze data; and create a portfolio-ready project that showcases job-ready marketing expertise.

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  <h1>About this course</h1><div>Search Engine Optimization (SEO) and content marketing skills are essential for marketers, entrepreneurs, and growth hackers. Whether you’re seeking to advance your marketing career, build brand visibility, or scale your business, this course equips you with the strategies, tools, and insights needed to achieve measurable growth.<br /><br /></div><div>After completing this course, you will be able to: </div><ul><li>Explain the principles of SEO, including ranking factors and the relationship between on-page, off-page, and technical SEO.</li><li>Apply keyword research, meta optimization, and content structuring techniques to improve search visibility.</li><li>Develop effective off-page SEO strategies, including backlink building and domain authority enhancement.</li><li>Implement technical SEO best practices to optimize website speed, mobile responsiveness, and indexability.</li><li>Analyze SEO data using Google Search Console, Google Analytics, and SEO plugins to inform marketing decisions.</li><li>Design SEO-driven content marketing strategies that combine growth hacking, AI optimization, and high-quality content creation.</li></ul><div>You’ll begin by exploring the foundations of SEO, learning key concepts, ranking factors, and the distinctions between on-page, off-page, content, and technical SEO. You’ll understand how search engines like Google crawl, index, and rank pages, and how to optimize elements like keyword research, meta descriptions, and page titles for better visibility. You’ll also be introduced to Artificial Intelligence Optimization (AIO) and Generative Engine Optimization (GEO) as new frontiers in digital search.</div><div> </div><div>You’ll focus on off-page SEO and link-building, mastering techniques to strengthen domain authority, leverage backlinks, and improve search performance through guest posting, outreach, and brand reputation signals. You’ll learn to apply growth hacking principles to link-building strategies and external SEO efforts.</div><div> </div><div>You’ll dive into technical SEO and analytics, covering topics like site speed, crawling, mobile responsiveness, and schema markup. You’ll gain hands-on experience with Google Search Console (GSC), Google Analytics (GA), and SEO plugins to audit websites, interpret performance data, and enhance visibility using structured data and AI-powered tools.</div><div> </div><div>You’ll explore content marketing as the creative core of SEO. You’ll learn how to craft engaging, shareable content, distribute it effectively, and build authority through consistent, optimized messaging. You’ll also discover how to apply growth hacking to content strategy to attract and retain audiences. The course concludes with a final project and assessment, where you’ll apply SEO and content strategies to a real-world scenario.</div><div> </div><div>By the end of this course, you’ll have the job-ready SEO and content marketing skills needed to drive traffic, boost rankings, and accelerate digital growth.<br /><br /></div><h1>General Information:</h1><ul><li>This course is self paced. </li><li>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is suitable for anyone interested in starting a career in digital marketing. No specific prerequisites or prior experience are required to take this course, except basic computer literacy. <br /><br /></div><h1><strong>Course Syllabus:</strong></h1><div><strong>Welcome to the Course</strong></div><ul><li>Course Introduction</li><li>Course Overview</li><li>Reading: Helpful Tips for Course Completion</li></ul><div><br /><strong>Module 1: Introduction to SEO and On-Page Optimization</strong></div><ul><li>Module Summary and Learning Objectives</li></ul><div>Fundamentals of SEO</div><ul><li>Introduction to SEO</li><li>Reading: Introduction to Generative Engine Optimization and AI SEO</li><li>Components of SEO</li><li>Reading: Developing an SEO Strategy</li><li>Reading: Introduction to Growth Hacking in SEO</li><li>Activity: Identifying and Applying Key SEO Components</li><li>Reading: Emerging Trends in SEO</li><li>Practice Quiz: Fundamentals of SEO</li></ul><div>On-Page SEO</div><ul><li>Introduction to On-Page SEO</li><li>Components of On-Page SEO</li><li>Reading: Setting Up and Structuring On-Page SEO</li><li>Reading: Leveraging Tools for On-Page SEO</li><li>Lab: Create and Optimize Content for On-Page SEO</li><li>Practice Quiz: On-Page SEO</li></ul><div>Module Summary and Assessment</div><ul><li>Summary and Highlights: Introduction to SEO and On-Page Optimization</li><li>Graded Quiz: Introduction to SEO and On-Page Optimization</li></ul><div><br /></div><div><strong>Module 2: Off-Page SEO and Link-Building</strong></div><ul><li>Module Summary and Learning Objectives </li></ul><div>Off-Page SEO and Backlinking</div><ul><li>Introduction to Off-Page SEO</li><li>Domain Authority and Backlinking</li><li>Reading: Components of Off-Page Activity</li><li>Lab: Identifying Off-Page Activities and Backlink Opportunities</li><li>Practice Quiz: Basics of Off-Page SEO</li></ul><div>Link-Building Strategies</div><ul><li>Introduction to Link Building and Best Practices</li><li>Reading: Domain Authority and Page Authority</li><li>Lab: Considerations for Link Building</li><li>Reading: Link-Building Approaches</li><li>Reading: Growth Hacking in Link Building</li><li>Practice Quiz: Link-Building Strategies</li></ul><div>Module Summary and Assessment</div><ul><li>Summary and Highlights: Off-Page SEO and Link Building</li><li>Graded Quiz: Off-Page SEO and Link Building</li></ul><div><br /></div><div><strong>Module 3: Technical SEO and Analytics</strong></div><ul><li>Module Summary and Learning Objectives</li></ul><div>Technical SEO</div><ul><li>Introduction to Technical SEO</li><li>Reading: Technical SEO Audits</li><li>Lab: SEO Audit</li><li>Reading: Best Practices in Technical SEO</li><li>Practice Quiz: Technical SEO </li></ul><div>Schema Markup and Structured Data</div><ul><li>Introduction to Schema Markup</li><li>Reading: Leveraging Tools for Schema Markup and Data Structuring</li><li>Reading: Setting Up and Structuring Schema Markup</li><li>Lab: Optimize Rich Snippets and Schema Markups</li><li>Practice Quiz: Schema Markup and Structured Data</li></ul><div>SEO Analysis and Performance Tracking</div><ul><li>SEO Analytics and Performance Tracking</li><li>Reading: Google Search Console</li><li>SEO Performance Analysis</li><li>Reading: Data Analysis for SEO</li><li>Lab: SEO Data Analysis</li><li>Reading: Growth Hacking Insights for SEO</li><li>Practice Quiz: Content for SEO</li></ul><div><br /></div><div><strong>Module 4: Content Marketing</strong></div><ul><li>Module Summary and Learning Objectives</li></ul><div>Content Marketing Fundamentals</div><ul><li>Introduction to Content Marketing</li><li>Reading: Content Marketing Strategy</li><li>Content Distribution and Marketing</li><li>Reading: Content Distribution Approaches</li><li>Lab: Content Marketing Activity</li><li>Reading: Growth Hacking Content Marketing Approaches</li><li>Practice Quiz: Content Marketing</li></ul><div>Role of Content in SEO</div><ul><li>Key Considerations for Content in SEO</li><li>Content Planning for SEO</li><li>Reading: Leveraging Tools for Content</li><li>Reading: The Content Planning Process for SEO</li><li>Lab: Creating Content for SEO</li><li>Practice Quiz: Role of Content in SEO</li></ul><div>Integrated Content and SEO Strategy</div><ul><li>Integrated Approach to Content and SEO</li><li>Developing an Integrated Strategy</li><li>Reading: Plan Construct for an Integrated Approach</li><li>Reading: Crafting an Integrated Content and SEO Strategy</li><li>Lab: Developing a Strategic Outline</li><li>Practice Quiz: Integrated Content and SEO Strategy </li></ul><div>Module Summary and Assessment</div><ul><li>Summary and Highlights: Content Marketing</li><li>Graded Quiz: Content Marketing</li></ul><div><br /></div><div><strong>Module 5: Assessment and Final Project</strong></div><ul><li>Module Summary and Learning Objectives</li></ul><div>Final Project</div><ul><li>Reading: Project Overview</li><li>Final Project: Crafting a Portfolio-Ready SEO Content</li><li>Final Submission: Crafting a Portfolio-Ready SEO Content </li></ul><div>Glossary and Final Exam</div><ul><li>Course Glossary: Search Engine Optimization &amp; Content Marketing</li><li>Final Quiz: Search Engine Optimization and Content Marketing</li></ul><div>Course Wrap-Up</div><ul><li>Course Wrap-Up</li><li>Congratulations and Next Steps</li><li>Thanks from the Course Team</li></ul>
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Digital Marketing: SEO and Content Marketing

Build job-ready SEO and content marketing skills with real tools and techniques to grow visibility, rankings, and traffic using AI optimization and growth hacking strategies.

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  <h1>About this course</h1><div>Get started with digital marketing fundamentals skills and learn what it takes to design, launch, and optimize campaigns that drive measurable business growth. <br /><br />After completing this course, you will be able to: </div><ul><li>Explain the foundational principles, purpose, and evolution of digital marketing in modern business.</li><li>Identify and compare key digital channels (SEO, social media, paid media, email, content) and their strategic uses.</li><li>Analyze target audiences using demographic and psychographic insights to guide campaign development.</li><li>Design cohesive digital strategies that align with business goals and performance metrics.</li><li>Apply analytics tools and KPIs (traffic, conversions, ROI, engagement) to measure and optimize results.</li><li>Evaluate career pathways and opportunities to grow as a digital marketer, freelancer, or entrepreneur.</li></ul><div>As digital channels now account for nearly 80% of marketing budgets, the demand for skilled marketers and growth hackers has never been higher. Whether you’re an aspiring marketing professional, freelancer, or small business owner, this course is your first step to thrive in today’s digital landscape.</div><div><br /></div><div>You’ll begin by exploring the foundations of digital marketing, including its evolution, strategic importance, and the elements that make campaigns successful. You’ll learn how to connect marketing goals with overall business objectives, understand target audiences, and build coherent, data-driven strategies that deliver measurable results.<br /><br /></div><div>Next, you’ll examine the major digital marketing channels: social media, SEO, advertising platforms, email, and content marketing. You will discover how to use them strategically to reach, engage, and convert audiences. You’ll practice segmenting and analyzing markets through demographic and psychographic insights, learning to craft campaigns that resonate with specific customer profiles and brand goals.<br /><br /></div><div>You will learn about campaign metrics and KPIs, to understand how to track and evaluate marketing performance effectively. You will also explore platform-specific insights from tools like Google Analytics and Social media dashboards, enabling you to analyze and derive actionable conclusions from data.<br /><br /></div><div>This course will also help you understand the various job roles in digital marketing as well as the opportunities that exist for you as a small business owner or freelance marketing professional. <br /><br /></div><div>You’ll apply your learning in a course project, integrating strategy, channel selection, and analytics into a complete digital marketing plan. A graded assessment reinforces your ability to design and evaluate campaigns, while additional resources like podcasts, expert insights, and career tips, to help you explore opportunities in digital marketing, freelancing, and entrepreneurship.<br /><br /></div><div>This course combines strategic understanding with practical application, preparing you to step confidently into the world of digital marketing and growth hacking.</div><div><br /></div><h1>General Information:</h1><ul><li>This course is self paced. </li><li>This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is suitable for anyone interested in starting a career in digital marketing. No specific prerequisites or prior experience are required to take this course, other than basic computer literacy. </div><div><br /></div><h1><strong>Course Syllabus:</strong></h1><div><strong>Course Introduction</strong></div><ul><li>PC Overview</li><li>Course Introduction</li><li>Course Overview</li><li>Reading: Helpful Tips for Course Completion</li></ul><div> </div><div><strong>Module 1: Introduction to Digital Marketing</strong><br /><br /></div><div>Basics of Digital Marketing</div><ul><li>Module Summary and Learning Objectives</li><li>Introduction to Digital Marketing</li><li>Reading: Digital Marketing – Growth and Opportunities</li><li>Podcast: Digital Marketing – Growth and Opportunities</li><li>Reading: Introduction to Growth Hacking</li><li>Podcast: Introduction to Growth Hacking</li><li>Digital Marketing versus Traditional Marketing</li><li>Key Digital Marketing Channels</li><li>Activity: Channel Selection Challenge</li><li>Introduction to Digital Marketing Analytics</li><li>Reading: Key Terms Used in Digital Analytics</li><li>Practice Quiz: Basics of Digital Marketing</li></ul><div>Digital Strategy and Business Alignment</div><ul><li>Importance of Digital Strategy</li><li>Components of a Digital Strategy</li><li>Reading: Aligning Marketing with Business Goals</li><li>Reading: Aligning Growth Hacking with Business Goals</li><li>Lab: Exploring Key Components of a Digital Strategy</li><li>Practice Quiz: Digital Strategy and Business Alignment</li></ul><div>Module Summary</div><ul><li>Module Summary: Introduction to Digital Marketing</li><li>Podcast Recap: Introduction to Digital Marketing</li><li>Graded Quiz: Introduction to Digital Marketing</li></ul><div> </div><div><strong>Module 2: Digital Marketing Channels and Audiences<br /></strong><br /></div><div>Digital Channels in Marketing</div><ul><li>Module Summary and Learning Objectives </li><li>Introduction to Digital Channels</li><li>Introduction to Organic Digital Channels</li><li>Paid Media Channels</li><li>Email Marketing and Automation</li><li>Reading: Aligning Channels with Digital Objectives</li><li>Reading: Aligning Growth Hacking with Your Digital Channel Strategy</li><li>Podcast: Aligning Growth Hacking with Your Digital Channel Strategy</li><li>Lab: Develop a Channel Strategy</li><li>Practice Quiz: Digital Channels in Marketing</li></ul><div>Digital Target Audiences</div><ul><li>Introduction to Target Audience Analysis</li><li>Role of Demographics in Audience Analysis</li><li>Role of Psychographics in Audience Analysis</li><li>Reading: Using Audience Data for Targeting</li><li>Reading: Identifying Growth Hacking Opportunities in Audience Targeting</li><li>Lab: Create Digital Personas</li><li>Practice Quiz: Digital Target Audiences</li></ul><div>Module Summary</div><ul><li>Module Summary: Digital Marketing Channels and Audiences</li><li>Podcast Recap: Digital Marketing Channels and Audiences</li><li>Graded Quiz: Digital Marketing Channels and Audiences</li></ul><div> </div><div><strong>Module 3: Digital Metrics and Career Prospects</strong></div><div> </div><div>Digital Marketing Analytics and Metrics</div><ul><li>Module Summary and Learning Objectives </li><li>Introduction to Marketing Metrics and Analytics</li><li>Key Performance Indicators (KPIs): Overview</li><li>Understanding Traffic and Conversions</li><li>Reading: ROI and Engagement Metrics</li><li>Reading: Tools for Tracking Marketing Performance</li><li>Reading: Analyzing Marketing Data for Actionable Insights</li><li>Reading: Analyzing Data for Growth Hacking</li><li>Lab: Analyze Performance Metrics</li><li>Practice Quiz: Digital Marketing Analytics and Metrics</li></ul><div>Digital Marketing Career Prospects</div><ul><li>Job Roles in Digital Marketing</li><li>Reading: Growth Hacking in Digital Marketing</li><li>Podcast: Growth Hacking in Digital Marketing</li><li>Digital Marketing Industry Growth</li><li>Career Paths and Growth in Digital Marketing</li><li>Reading: Digital Marketing Opportunities for Small Business Owners and Freelancers</li><li>Reading: Future Trends in Digital Marketing</li><li>Podcast: Future Trends in Digital Marketing</li><li>Reading: Career Growth Opportunities as a Growth Hacker</li><li>Podcast: Career Opportunities as a Growth Hacker</li><li>Practice Quiz: Digital Marketing Career Prospects</li></ul><div>Module Summary</div><ul><li>Module Summary: Digital Metrics and Career Prospects</li><li>Graded Quiz: Digital Metrics and Career Prospects</li></ul><div><br /><strong>Module 4: Final Project and Assessment</strong></div><ul><li>Module Summary and Learning Objectives</li></ul><div>Final Project</div><ul><li>Project Overview: Develop a Digital Marketing Strategy</li><li>Final Submission: Develop a Digital Marketing Strategy </li></ul><div>Glossary and Final Exam</div><ul><li>Glossary: Essential Concepts in Digital Marketing</li><li>Final Exam: Introduction to Digital Marketing</li></ul><div>Wrap-Up</div><ul><li>Course Wrap-Up</li><li>Congratulations and Next Steps</li><li>Thanks from the Course Team</li></ul><div><br /></div>
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Digital Marketing: Fundamentals

Get started with digital marketing and growth hacking. Learn the fundamentals of digital strategy, digital channels, audience targeting & insights, and performance metrics, and what it takes to become a digital marketing professional.

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  <div><br />This course comprises seven modules. <br /><br /></div><div>We encourage you to set aside approximately four hours each week to successfully complete this course in four weeks.<br /><br /></div><div>To derive maximum benefit from this course, watch all the videos and review the readings. Then, reinforce your learning by completing all the hands-on activities, such as the labs. Take the practice and graded assessment to test your knowledge. Finally, apply your skills to the final project and complete the final assessment to consolidate your learning.<br /><br /></div><div><strong>Module 1: Campaign Strategy and Audience Targeting <br /></strong><br /></div><div>In this module, you will begin your capstone project by selecting a hypothetical product or service, defining its business objectives, and setting SMART marketing goals. Through hands-on labs, you will develop buyer personas and align them with these objectives, while identifying the most effective digital channels to reach your audience. By the end, you will have a strategic campaign brief to guide the rest of your project.<br /><br /></div><div><strong>Module 2: SEO and Content Marketing Plan <br /><br /></strong>In this module, you will design an SEO-driven content marketing plan that directly supports your overall campaign strategy. Through hands-on labs, you will conduct targeted keyword research aligned with the hypothetical brand’s goals, develop optimized page titles and meta descriptions, and outline a blog post to drive organic traffic. You will also create a seven-day content calendar to plan and structure high-impact posts across relevant platforms, ensuring consistency and audience alignment. Emphasizing strategic thinking, measurable outcomes, and SEO best practices, this module equips you to enhance visibility, engagement, and long-term content value. By the end, you will have a complete, ready-to-deploy content plan.<br /><br /></div><div><strong>Module 3: Digital Advertising<br /></strong>In this module, you’ll bring your capstone project to life with a hands-on dive into paid advertising. Through interactive labs, you will design a targeted ad campaign that perfectly aligns with your overall strategy. You’ll craft attention-grabbing ad copy for platforms such as Google and Meta, develop a precise ad targeting plan to reach your ideal audience segments, and map out creative concepts for high-impact visuals. You will also estimate budgets, choose winning bidding strategies, and forecast key performance indicators (KPIs) to measure success. By the end, you’ll have a polished, ready-to-launch paid media plan that’s built to deliver results.<br /><br /></div><div><strong>Module 4: Social Media Content Plan<br /></strong>In this module, you will master the art of creating an organic social media strategy that works. You will design a strategic seven-day content plan for your hypothetical brand, choosing the right platforms, aligning posts with campaign goals, and applying growth hacking techniques to spark engagement. You will explore visual storytelling, smart hashtag strategies, and the craft of writing captions that stop the scroll. In hands-on labs, you will bring your ideas to life by designing and refining posts with tools such as Canva while experimenting with platform-specific tactics to amplify reach. By the end, you will have a fully developed social media calendar packed with tailored content built to captivate your audience and boost brand visibility.<br /><br /></div><div><strong><br />Module 5: E-commerce and Email Marketing <br /></strong>In this module, you will learn to turn clicks into customers through powerful product pages and high-impact email marketing. You will master the principles of conversion-focused design and personalized messaging to boost engagement and sales. Step by step, you will create a visually striking, search-optimized product page with persuasive copy, attention-grabbing visuals, and compelling pricing. You will also design an email marketing sequence that speaks directly to segmented audiences, building trust and driving action. In hands-on labs, you will craft a mock product listing and develop a two-part email series that nurtures relationships and inspires purchases. By the end, you will have the skills to generate traffic, captivate customers, and grow sales through integrated e-commerce and email strategies.<br /><br /></div><div><strong>Module 6: Data Analysis for Growth<br /></strong>In this module, you will unlock the power of data to fuel growth and maximize return on investment (ROI). You will explore how smarter analysis and sharper insights can transform performance, diving into real-world data from SEO, social media, and digital advertising. Through hands-on activities, you will work with data across multiple digital channels, identify opportunities, and apply optimization techniques that deliver measurable results. By the end, you will have the skills to turn raw numbers into strategic actions that drive sustained growth.<br /><br /></div><div><strong><br />Module 7: Final Course Project and Course Wrap-Up<br /></strong>In this final module, you will compile your project work into a professional campaign portfolio and create a compelling presentation that showcases your analytical and communication skills. You will learn to structure and design presentations for maximum clarity, engagement, and impact, applying best practices used by industry professionals. The portfolio and presentation you produce can be leveraged for job applications, interviews, or freelance opportunities, giving you a tangible asset to demonstrate your expertise. You will submit your final presentation highlighting the insights and results from your project, while the module concludes with a review of key takeaways and next steps for applying your new skills.<br /><br /></div><div><br />Additionally, you’ll gain access to bonus career-focused content, including tips on job searching, resume building, interview preparation, freelancing success, and creating a digital portfolio.<br /><br /></div>
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Capstone Project: Digital Marketing and Growth Hacking

Throughout the project, you’ll work with platforms like Facebook and LinkedIn and tools such as Shopify, Canva, and Zoho Campaigns. In parallel, you’ll use generative AI tools like ChatGPT and Gemini to enhance assets and improve efficiency.To wrap up, you’ll design a final presentation that demonstrates your analytical and presentation skills. The course also provides career guidance, from building your digital portfolio to resume, LinkedIn, and interview tips, plus insights on freelancing success.

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  <div>After completing this course, you should be able to:</div><ul><li>Develop projects more efficiently</li><li>Understand the fundamental skills of an project</li><li>Understand when and how to use a “Decision”, “Workflow”, and “Generative AI”</li><li>Turn a conceptual idea into a functional project on Orchestrate</li><li>Understand and apply different versions of an project and successfully deploy it</li></ul>
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IBM watsonx Orchestrate: Start with Projects in Skill Studio

In this course, you learn how to create an project on IBM watsonx Orchestrate to streamline a Human Resources (HR) process that involves defining a decision on when the salary range could be automatically approved or sent for manual review.

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  <div>In this Capstone Project, you will:</div><ul><li>Develop scalable backend applications using JavaScript, Node.js, Express, and MongoDB, with full CRUD functionality for database interaction.</li><li>Design and implement secure RESTful APIs using Node.js, including user authentication and authorization with JWT.</li><li>Integrate a MongoDB service into backend applications to support data persistence and dynamic application behavior.</li><li>Containerize backend applications using Docker and deploy them using serverless technologies such as Kubernetes and IBM Code Engine.</li><li>Apply CI/CD practices and Agile workflows by building pipelines and managing development tasks with Kanban boards.</li><li>Evaluate and test microservices for functionality, performance, and reliability to ensure a robust and maintainable architecture.</li></ul><div><strong>The following skills are required to be successful with this course: </strong></div><div> </div><ul><li>We recommend completing all previous courses in the IBM Backend Developer – JavaScript – Professional Certificate before starting this capstone.</li><li>Through these courses, you will have developed working knowledge of the following required for this course: <ul><li>Software Engineering</li><li>HTML &amp; CSS</li><li>Version control with Git </li><li>JavaScript</li><li>Node.js &amp; Express</li><li>Cloud Native, DevOps, and Agile</li><li>NoSQL and MongoDB</li><li>Containers with Docker and Kubernetes</li><li>Microservices &amp; Serverless</li></ul></li></ul><div>Demonstrate your readiness for real-world development roles by building a professional-grade backend application from the ground up. In this capstone project, you’ll take on a practical, industry-inspired challenge that puts your JavaScript backend skills into action.<br /><br /></div><div>This course offers the opportunity to solidify your technical capabilities by designing and implementing a scalable microservices architecture using JavaScript, Node.js, Express, and MongoDB. You’ll also apply modern development practices such as CI/CD and Agile project management.<br /><br /></div><div>Throughout the capstone, you will apply in-demand skills, including:</div><ul><li>Designing and building RESTful APIs with robust error handling</li><li>Developing MongoDB-based APIs to perform full CRUD operations</li><li>Testing and invoking microservices to ensure reliability</li><li>Securing the backend using JWT authentication best practices</li><li>Integrating your backend with a frontend and deploying a full-stack app using IBM Code Engine and Kubernetes</li></ul><div>By the end of the course, you’ll have a fully functional backend application to showcase in your portfolio and to potential employers.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Project Introduction, Repository Setup, User Stories and Database Setup</strong></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><strong>Module 2 : Back-end APIs and Services</strong></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><strong>Module 3 : User Management with JWT</strong></div><ul><li>Lesson 1 : Implement Registration Back End</li><li>Lesson 2 : Implement Login Back End</li><li>Lesson 3: Implement User Profile Back End</li><li>Lesson 4: Integrate Back End to the Front End</li><li>Lesson 5 : Module Summary and Assessment </li></ul><div><strong>Module 4 : CI/CD, Containerize, and Deploy</strong></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><strong>Module 5 : Final Project Submission and Peer Review</strong></div><ul><li>Lesson 1 : Final Project Submission and Peer Review</li><li>Lesson 2 : Course Wrap Up</li></ul>
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Capstone Project: JavaScript Backend Development

Demonstrate your backend development skills with JavaScript, Node.js, Express, and MongoDB. Build secure APIs, use JWT, and deploy with Docker, Kubernetes, and Serverless.

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  <div>Have you been annoyed and scared by phishing emails? Phishing is one of the most common and dangerous cyberattacks, designed to trick users into giving up sensitive information or clicking malicious links. In this project, you’ll build an AI-powered phishing detection system that goes beyond traditional spam filters. By fine-tuning transformer models like DistilBERT and integrating IBM’s Granite as an explanation layer, you’ll create a two-step defense that not only classifies emails as legitimate or suspicious but also selects and explains the exact words and phrases that make them dangerous. Along the way, you’ll gain hands-on experience with Hugging Face fine-tuning, explainable AI, and deploying interactive web apps with Gradio, which are skills directly applicable to real-world cybersecurity challenges.<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>Fine-tune BERT-based models for phishing detection</strong>: Train and evaluate lightweight transformers to classify emails as legitimate or phishing. </li><li><strong>Integrate LLMs for explainability</strong>: Use IBM Granite as a second defense layer to extract and explain suspicious phrases that indicate phishing attempts. </li><li><strong>Build an interactive web interface</strong>: Develop a Gradio-powered demo where users can paste emails, get predictions, view confidence scores, and read explanations. </li><li><strong>Apply explainable AI in cybersecurity</strong>: Learn how combining classifiers with reasoning-capable LLMs improves both accuracy and transparency.</li></ul><div><br /></div><h1>Who Should Enroll</h1><ul><li><strong>Early-career data scientists or ML engineers</strong> who want to apply NLP to cybersecurity problems.</li><li><strong>Cybersecurity enthusiasts and professionals</strong> looking to understand how AI can enhance phishing detection. </li><li><strong>Students and researchers</strong> interested in explainable AI and real-world model deployment.</li></ul><div><br /></div><h1>Why Enroll</h1><div>This project bridges <strong>machine learning</strong> and <strong>cybersecurity</strong> by showing how explainable AI can strengthen defenses against phishing. Instead of just flagging emails as "safe" or "suspicious", your system will provide <strong>transparent reasoning</strong> that helps users understand and trust the model’s predictions. By the end, you’ll have a working phishing detection assistant, practical experience with <strong>Hugging Face fine-tuning</strong>, and a deeper understanding of how LLMs can be used as a second layer of defense in <strong>AI security systems</strong>.</div><div><br /></div><h1>What You’ll Need</h1><div>To get the most out of this project, you should have:</div><ul><li>Basic Python programming knowledge. </li><li>Some familiarity with NLP or Hugging Face models (helpful but not required). </li><li>Interest in practical AI applications.</li></ul><div>All dependencies are pre-configured in the environment, and the project runs best on current versions of Chrome, Edge, Firefox, or Safari.</div>
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Build a Phishing Filter with Finetuned BERT and Granite

Build an interactive Gradio web app by fine-tuning BERT, DistilBERT, and IBM Granite LLM to detect phishing emails and strengthen AI-driven cybersecurity defenses. Use Huggingface pre-trained LLMs to fine-tune your own BERT-based phishing email classifier from data loading to model delivery. Integrate the IBM Granite API to design an LLM assistant that highlights malicious patterns, detects suspicious phrases, and reveals evolving attack strategies. By the end, you will have created a shareable web app with Gradio that deploys your fine-tuned model and LLM assistant to protect users worldwide.

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  <div><br />This course comprises three modules. We encourage you to set aside approximately four hours each week to successfully complete all modules in three weeks.<br /><br /></div><div>To benefit from this course, watch all the videos and review the readings. Then, reinforce your learning by completing all the hands-on activities, such as the labs. Take the practice and graded assessment to test your knowledge. Finally, apply your skills to the final project and complete the final assessment to consolidate your learning.<br /><br /></div><div><strong>Module 1: Testing Strategies and Practices<br /></strong>This module introduces key concepts in software testing and its role in ensuring quality throughout the development process. You will examine the importance of testing through real-world examples, understand various testing levels such as unit, integration, system, and user acceptance, and learn how analysts contribute at each stage. The module also covers test planning and design, including test coverage, test case structure, and traceability matrices. Finally, you will be introduced to test-driven development and behavior-driven development, with a focus on collaboration and the use of Gherkin syntax.<br /><br /></div><div><strong><br />Module 2: Prototyping and Usability Testing<br /></strong>This module guides you through the software deployment process, from pre-launch preparation to post-launch monitoring. You will learn the distinction between deployment and release, and explore key activities such as coordinating CI/CD workflows, securing stakeholder approvals, and planning rollback strategies. The module also covers data migration planning and validation, including mapping legacy data, documenting processes, and verifying transfers using techniques such as record counts, checksums, and dry runs. Finally, you will examine post-deployment responsibilities, including performance monitoring, log review, and continuous improvement, while developing key metrics and a maintenance schedule to support long-term system stability.<br /><br /></div><div><strong><br />Module 3: Final Project, Final Exam, and Course Wrap-Up<br /></strong>In this final module, you will apply key concepts to build a complete Testing and Release Planning Kit for a fictional software system. This includes defining a testing strategy, validating data migration steps, planning the deployment workflow, and outlining post-release monitoring activities. You will tailor your work to a custom scenario, using templates and frameworks introduced earlier in the course. The project emphasizes planning, coordination, and documentation to simulate a systems analyst’s role in supporting software delivery, focusing on readiness and long-term support rather than coding or development.<br /><br /></div>
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Software Testing, Deployment, and Maintenance Strategies

In this course, you’ll learn to design test plans that align with business goals and technical constraints, ensure traceability of testing efforts, and confidently evaluate when a system is ready for release. Plus, you’ll learn how to coordinate user acceptance testing with stakeholders and develop checklists and processes that streamline deployment. 

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  <div>Embark on your <strong>Machine Learning (ML) and Artificial Intelligence (AI) journey</strong> with the <strong>Machine Learning Fundamentals (MLF) Program</strong>! This course is your essential starting block for navigating the exciting, high-demand field of ML/AI.<br /><br /></div><div>Why is this course important? The power of machine learning is transforming every industry, from tech and finance to healthcare and entertainment. Having a solid, fundamental understanding of ML concepts is no longer just a specialization—it's becoming a crucial skill for innovators of tomorrow. This program is important because it provides a beginner-friendly, guided path through the foundational technical and theoretical knowledge that most self-learners struggle to piece together.<br /><br /></div><div>By taking this course, you will <strong>gain a kickstart and the confidence</strong> to explore this field on your own. You'll gain a <strong>solid understanding</strong> of core concepts, <strong>build practical skills</strong> through workshops and a guided project, and have access to valuable <strong>mentorship</strong> from the University of Toronto Machine Intelligence Student Team (UTMIST) academics. Upon completion, you won't just know <em>about</em> ML; you'll be equipped to <strong>tackle your own ML/AI initiatives</strong> and have a clear vision for your next steps in this domain.<br /><br /><br /></div><h1><strong>Course Syllabus</strong></h1><div>Upon completing this program, you will be able to:</div><ul><li><strong>Define</strong> and <strong>explain</strong> the core concepts of foundational machine learning, including linear and logistic regression.</li><li><strong>Implement</strong> and <strong>interpret</strong> fundamental algorithms like Gradient Descent and various loss functions.</li><li><strong>Describe</strong> the architecture of basic neural networks (Multi-Layer Perceptrons) and the role of activation functions.</li><li><strong>Apply</strong> key concepts of the ML Development Cycle, such as identifying and mitigating issues like overfitting, underfitting, and managing bias/variance trade-offs.</li><li><strong>Analyze</strong> practical problems and apply specialized ML techniques like K-means clustering and Decision Trees.</li><li><strong>Collaborate</strong> on a group project, applying your learned skills in a structured, professional environment.</li></ul><div><br /></div><div><strong>Module 1: Foundational ML Concepts</strong>  </div><div><strong>Topic 1:</strong> Introduction to Basic Concepts for ML (Linear Regression, Logistic Regression, Loss Functions, Gradient Descent) | <br /><strong>Topic 2:</strong> The ML Development Cycle (Overfitting/Underfitting, Bias/Variance) <br /> <br /><strong>Module 2: Introduction to Neural Networks and Specialized Topics</strong>  <br /><strong>Topic 1:</strong> Intro to Neural Networks (Activation Functions, Multi-Layer Perceptrons (MLP), Neural Network Implementation (e.g., in DL libraries or NumPy, Backpropagation)  <br /><strong>Topic 2:</strong> "Special" Topics (Decision Trees, Unsupervised Learning - Anomaly Detection, K-means Clustering, Recommender Systems - Collaborative Filtering, Content-Based Filtering) <br /><br /></div><h1><strong>General Information</strong></h1><div>This program is designed to be completed over a single semester, with a <strong>recommended timeline</strong> of approximately <strong>7 to 8 weeks</strong> of focused workshops and learning, followed by the guided group project phase. The learning experience is highly engaging, utilizing <strong>technical workshops/lectures</strong> for concept delivery.<br /><br /></div><div><strong>Assessment Style:</strong> Your progress and learning will be evaluated through the successful completion and presentation of a <strong>guided group project</strong>. This project is structured similarly to UTMIST's own initiatives, giving you valuable real-world experience. Mentors will provide continuous support and feedback throughout the learning process and project development.<br /><br /></div><div>Recommended Skills Prior to Taking this Course<br /><br /></div><div>This program is specifically designed for <strong>Beginners</strong>—individuals who are new to the field of ML/AI or are seeking mentorship to develop foundational skills.</div><ul><li><strong>Programming Language:</strong> A basic familiarity with <strong>Python</strong> is highly recommended, as it is the primary language used in the ML field.</li><li><strong>Mathematics:</strong> A general understanding of <strong>high-school level algebra</strong> is helpful for grasping concepts like linear functions and gradients.</li><li><strong>Technology:</strong> No advanced technology setup is required. The program will leverage environments that often have necessary tools (like <strong>Docker</strong>) pre-installed. The learning platform works best with current versions of modern web browsers, including <strong>Chrome, Edge, Firefox, or Safari</strong>.<br /><br /></li></ul>
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UTMIST - Machine Learning Fundamentals

The Machine Learning Fundamentals (MLF) Program is a beginner-friendly initiative offering foundational technical and theoretical knowledge in ML/AI. Through structured workshops covering topics like linear regression and neural networks, and a mentored group project, you will build practical skills and gain the confidence needed to start your journey in this field. It's designed to equip you with a solid understanding of core concepts, preparing you for future ML/AI endeavors.

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  <div>Demonstrate your Java development skills in two hands-on projects that employers will value. <br /><br /><strong>You will:</strong>  <br /><br /></div><ul><li>Demonstrate proficiency in building modular Java applications using OOP, file handling, and exception management </li><li>Develop interactive, console-based Java programs that accept user input and maintain persistent data storage through file handling </li><li>Apply Java’s exception handling techniques to manage input errors and evaluate data integrity during file and user operations </li><li>Generate structured, well-formatted reports by filtering and displaying data stored within Java objects </li></ul><div><strong>Course Overview</strong>  <br /><br /></div><div>Demonstrable, hands-on experience is essential for building a successful career in Java development. This course gives aspiring and practicing developers the opportunity to strengthen their portfolio with real-world experience.  <br /><br /></div><div>During this course, you’ll complete two projects. In the first, you’ll use your Java programming skills to build a console-based recycling tracker. As you work through the project, you’ll create modular code using object-oriented principles, organize data with ArrayLists and HashMaps, design read and write files, and implement exception handling. You'll also show your understanding of how to persist object data and create relevant reports for tracking and calculating key metrics.  <br /><br />In the second project, you'll use your object-oriented Java skills to build a console-based prototype pet care scheduling application. Your goal will be to enable users to register their pets, log important appointments, track upcoming tasks, and store this information safely so it is retained.  <br /><br /></div>
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Java App Development Project: Fundamentals, OOP & File I/O

Get demonstrable, hands-on experience using your Java programming skills in two portfolio-worthy projects. Great for technical interviews!  

<div>Kickstart a high-growth career as a Business Analyst (BA) with this comprehensive, self-paced Professional Certificate program that builds the core skills and AI competencies employers are seeking. With demand growing rapidly, and average US salaries for Business Analysts around $85,000 (IIBA), now is the time to build your expertise! This Professional Certificate teaches you the skills and generative AI (GenAI) techniques you need to get your first BA job in the field.&nbsp; &nbsp;<br><br><strong>You will learn:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Job-ready business analysis skills aligned with the <strong>BABOK® Guide</strong> that will help you launch your career.&nbsp;</li><li>Practical, hands-on techniques to build your portfolio and prepare for the <strong>ECBA™ certification</strong> valued by employers.&nbsp;</li><li>Proven strategies for <strong>process modeling, requirements gathering, stakeholder engagement</strong>, and <strong>project coordination</strong>.&nbsp;</li><li>Core concepts and tools for <strong>systems analysis, data analysis</strong>, and <strong>data visualization</strong> in real-world scenarios.&nbsp;</li><li>How to apply generative AI tools and techniques to automate and enhance key business analysis activities.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program overview</strong>&nbsp;</div><div>&nbsp;</div><div>Business Analysts are a critical bridge between stakeholders and technical teams. They translate needs into actionable insights, identify key requirements, and ensure solutions align with organizational goals.&nbsp;</div><div>&nbsp;</div><div>This comprehensive program covers foundational principles and advanced techniques across the business analysis lifecycle. You'll explore the role of a Business Analyst in-depth, and gain essential knowledge in:&nbsp;</div><div>&nbsp;</div><ul><li><strong>Business process modeling</strong>, <strong>eliciting and managing requirements</strong>, and <strong>engaging stakeholders</strong> effectively&nbsp;</li><li>Applying <strong>systems thinking</strong> and conducting <strong>data-driven analysis</strong> using tools like Excel and IBM Cognos&nbsp;</li><li>Visualizing and presenting insights to support informed decision-making&nbsp;</li><li>Automating time-consuming tasks, enhancing your analysis with AI-driven insights, and creating clearer, more effective deliverables.&nbsp;</li></ul><div>The curriculum is designed to align with the <strong>Business Analysis Body of Knowledge (BABOK® Guide)</strong> and also prepares you to pursue the <strong>Entry Certificate in Business Analysis (ECBA™)</strong>.&nbsp;</div><div>&nbsp;</div><div>Plus, throughout the program, you’ll build valuable practical experience in interactive labs and projects that simulate real workplace scenarios, where you’ll work with business analysis tools, apply structured methods, and practice making data-informed recommendations; great projects to talk about in interviews.&nbsp;</div><div>&nbsp;</div><div>Examples of projects and labs include:&nbsp;</div><ul><li>Visualize and improve business processes&nbsp;</li><li>Document requirements and use cases&nbsp;</li><li>Create business analysis matrices and traceability tools&nbsp;</li><li>Analyze digital transformation strategies&nbsp;</li><li>Design stakeholder registers and flowcharts&nbsp;</li><li>Visualize data using Cognos Analytics&nbsp;</li><li>Create dashboards in Google Looker Studio and Excel&nbsp;</li><li>Model business processes for an eBike Rental Startup and a Healthcare Facility&nbsp;</li><li>Leverage GenAI tools for business analysis workflows and craft high-quality prompts for business-specific challenges&nbsp;</li></ul><div>&nbsp;</div><div>By the end of the program, you’ll have a solid foundation in business analysis—and a portfolio of applied work to showcase your skills to potential employers.&nbsp;</div><div>&nbsp;</div><div><strong>Your job outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for Business Analysts is on a high-growth trajectory. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>The U.S. Bureau of Labor Statistics, IIBA, and Glassdoor show that the Average Salary (across all levels of Business Analysts) is $85,000–$95,000 per year, with entry-level roles making $60,000–$75,000/year.&nbsp;</li><li>Job growth and demand projections for 2022–2032 show an 11% increase in management analyst roles, which includes business analysts—significantly faster growth than the average for other roles (U.S. Bureau of Labor Statistics).&nbsp;</li><li>Entry-level Business Analysts with the ECBA™ certification earn up to 11% more on average than their uncertified peers (Source: IIBA Salary Survey).&nbsp;</li></ul><div><br><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is ideal for beginners. However, to get the most from it, you need basic computer literacy. Although not a requirement for taking this program, most business analysts have at least an undergraduate-level (bachelor's) degree. &nbsp;</div><div>&nbsp;</div>

IBM Business Analyst Professional Certificate 

Launch your Business Analyst career with confidence. Learn the skills, tools, and techniques employers are looking for. No prior experience required. 

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  <div>Java is one of the most in-demand programming languages, powering 3 billion devices and ranking consistently in the top 3 of developer surveys. Companies worldwide seek developers who can implement scalable architecture, rigorous testing, and cloud-ready deployment. This intermediate course bridges the gap between basic Java knowledge and the advanced, enterprise-level skills employers value most. </div><div> </div><div>During the course, you’ll develop the expertise to design maintainable systems, write high-quality tests, and deploy production-ready applications—skills critical for competitive job market. </div><div> </div><div> You’ll start with Gang of Four patterns updated for Java 17+, learn functional interfaces and lambdas as building blocks, and apply patterns like such as Factory, Strategy, Builder, and Observer. Next, you’ll dive into JUnit fundamentals, expressive tests with AssertJ, mocking with Mockito, and integration testing strategies. Then finally, you’ll master deployment using JLink, Maven, Docker, Kubernetes, and CI/CD pipelines, with security and performance best practices included.  <br /><br /></div><div>As you learn, you’ll get hands-on in labs and projects where you’ll create singleton classes, build factory implementations, develop TDD-driven utilities, and containerize applications. The final project—an Inventory Management Solution—integrates design, testing, and deployment skills into a showcase-worthy portfolio piece.  <br /><br /></div><div>Other practical work includes: <br /><br /></div><ul><li>Identifying and implementing design patterns for real-world Java applications. </li><li>Applying advanced testing strategies, from unit testing with JUnit to integration testing with TestContainers. </li><li>Deploying secure, optimized Java applications using Maven, Docker, Kubernetes, and CI/CD pipelines. </li></ul><div> </div><div>If you’re looking to strengthen your resume with advanced Java skills, demonstrate industry-relevant competencies to employers, and position yourself for Java developer and backend engineering roles, <strong>enroll now and power up your Java career!</strong> <br /><br /></div><div><strong>Prerequisites</strong> </div><div>This is an intermediate-level course. You should have foundational Java programming skills, object-oriented programming knowledge, basic Git and GitHub experience, and familiarity with containerization concepts such as Docker and Kubernetes. No prior design pattern experience is required. </div><div><br /></div><div><strong>Related Professional Certificate </strong> </div><div> </div><div>This course is part of the <strong>IBM Java Developer Professional Certificate</strong>, designed to prepare you for Java developer, backend engineer, and cloud application developer roles.  If you’re looking to build a comprehensive skillset for building enterprise-level software solutions, we recommend you enroll for the full Professional Certificate program and work through the courses in order. </div><div><br /></div><div><strong>Course Syllabus</strong> </div><div> <br /><strong>Module 1: Modern Java Design Patterns</strong> </div><ul><li>Evolution of Design Patterns: From GoF to Modern Java </li><li>Java Design Pattern Categories </li><li>Functional Interfaces and Lambda Expressions: Pattern Building Blocks </li><li>Common Design Patterns and Their Usage in Java </li><li>Creating a Singleton Class – Printer Manager <em>(Lab)</em> </li><li>Factory Design Pattern – Coffee Shop <em>(Lab)</em> </li><li>Leveraging Strategy and Builder Patterns </li><li>Observer Pattern and Event Notifications <em>(Lab)</em> </li><li>When (and When Not) to Use Design Patterns </li><li>Practice Quiz, Module Summary, Cheat Sheet, Graded Quiz </li><li><strong>Module 2: Testing with Java</strong> </li><li>JUnit Fundamentals </li><li>Getting Started with AssertJ </li><li>Writing Expressive Tests with AssertJ </li><li>Writing Your First JUnit Test <em>(Lab)</em> </li><li>Test-Driven Development in the Modern Java Ecosystem </li><li>Developing String Utility with TDD <em>(Lab)</em> </li><li>Effective Mocking with Mockito </li><li>Mocking Best Practices <em>(Reading)</em> </li><li>Mocking Tests with Mockito <em>(Lab)</em> </li><li>Using TestContainers with Java </li><li>Integration Testing Approaches for Microservices </li><li>Integration Testing Strategies and Patterns </li><li>Testing Strategies for Different Application Architectures </li><li>Practice Quiz, Module Summary, Cheat Sheet, Graded Quiz </li><li><strong>Module 3: Deployment with Java</strong> </li><li>Using JLink for Java Development </li><li>Maven Strategies for Java </li><li>Java Deployment with Maven and JLink <em>(Lab)</em> </li><li>Addressing Security in Deployment and Dependencies in Java </li><li>Creating Optimized Builds for Different Deployment Targets </li><li>Java Containerization Best Practices </li><li>Kubernetes Approaches for Java Developers </li><li>Containerize your Java Application with Docker <em>(Lab)</em> </li><li>CI/CD Pipeline Strategies for Java Applications </li><li>Performance Considerations for Containerized Java </li><li>Practice Quiz, Module Summary, Cheat Sheet, Graded Quiz </li><li><strong>Module 4: Final Project and Exam</strong> </li><li>Final Project: Inventory Management Solution <em>(Submission and Evaluation)</em> </li><li>Final Exam </li><li><strong>Module 5: Course Wrap-Up</strong> </li><li>Course Wrap-Up Video </li><li>Congratulations &amp; Next Steps </li><li>Teams and Acknowledgements </li><li><strong>Module 6: Course Rating and Feedback</strong> </li></ul>
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Java: Design Patterns, Testing and Deployment

In this course, you'll learn how to design flexible Java applications using factory, strategy, and observer patterns to solve real-world problems. You'll discover how to apply modern Java 17+ features such as lambdas, functional interfaces, and modular architecture to write clean, maintainable code. Then learn how to build strong test suites for test-driven development (TDD) using JUnit 5, AssertJ, and Mockito to catch bugs early and help ensure reliability. Then, explore how you can deploy applications to production using Docker, Maven, and CI/CD pipelines. 

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  <div>Ready to add rocket fuel to your business analysis skills? Generative AI (Gen AI) is transforming how business analysts work — enabling faster insights, streamlined processes, and more impactful deliverables. This course equips both aspiring and experienced professionals with the practical skills to harness AI effectively in their business analysis tasks. <br /><br /></div><div><strong>You will learn:</strong>  </div><ul><li>How to leverage generative AI tools to automate and improve core business analysis tasks </li><li>How to incorporate generative AI capabilities into widely used business analysis tools such as Excel, documentation platforms, and data visualization software </li><li>How to develop tailored prompt strategies for specific business analysis scenarios to deliver consistent, high-quality AI-generated outputs </li><li>How to tackle real-world implementation challenges, including safeguarding data privacy, ensuring proper human oversight, and managing organizational change related to AI integration </li></ul><div><strong>Course Overview</strong> <br /><br /></div><div>During this course, you’ll get hands-on using GenAI to automate routine tasks, enhance analysis with AI-powered insights, and produce clearer, more compelling deliverables. Plus, you’ll explore how to integrate Gen AI into existing tools and workflows, design high-quality prompts tailored to business challenges, and navigate critical AI considerations such as data privacy, ethical use, and organizational change. </div><div>You’ll also look at real-world applications and strategies to boost productivity, improve stakeholder communication, and maintain a competitive edge in a rapidly evolving field. </div><div> </div><div>Enroll today and build the essential GenAI skills for business analysis employers are looking for and set yourself up for career success! </div><div> </div><div><strong>Prerequisites</strong>  <br /><br /></div><div>This course is ideal for business analysts, requirements analysts, and process specialists looking to harness the extraordinary power of GenAI in their business analysis tasks and data analysts, project managers, product owners, and BI professionals engaged in various business analysis activities. <br /><br /></div><div>No prior AI experience is needed, but having a basic grasp of business analysis concepts will help you gain the most from this course.  <br /><br /></div><div><strong>Related</strong><em> </em><strong>Professional Certificate</strong>  <br /><br /></div><div>This course is part of the following programs: </div><ul><li>IBM Business Analyst Professional Certificate </li></ul><div>If you're an aspiring business analyst looking to leverage generative AI capabilities to strengthen your business analysis career prospects, we recommend you enroll in one of these programs and work through the courses in order. Within a short time, you'll have the skills and practical experience on your resume that will give you confidence to lead with AI and boost your business analyst career! <br /><br /></div><div><strong>Course Syllabus</strong> </div><div>The course consists of the following modules. <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: Grading Scheme</li><li>Reading: How to Make the Most of This Course</li></ul><div><strong>Module 1: Requirements Elicitation and Documentation with Generative AI</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Video: Introduction to AI-Powered Requirements Gathering </li><li>Video: Automating Requirements Extraction from Documentation </li><li>Lab: Creating User Stories and Acceptance Criteria with AI</li><li>Reading: Best Practices for AI-Enhanced Requirements Documentation </li><li>Video: Generating Process Maps with Generative AI </li><li>Video: Creating Compelling Visualizations with AI Assistance </li><li>Lab: Optimize a Business Process</li><li>Reading: Transforming Process Modeling with AI</li><li>Video: Advanced Data Analysis with Generative AI </li><li>Video: Creating Compelling Visualizations with AI Assistance </li><li>Lab: Data Insights Generation</li><li>Reading: Integrating AI with Excel and Business Intelligence Tools </li><li>Summary and Highlights: Requirements Elicitation and Documentation with Generative AI</li><li>Glossary: Requirements Elicitation and Documentation with Generative AI</li><li>Practice Quiz: Requirements Elicitation and Documentation with Generative AI</li><li>Graded Quiz: Requirements Elicitation and Documentation with Generative AI</li></ul><div><strong>Module 2: Implementing AI in Business Analysis Workflows</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Video: Tailoring Communications for Different Stakeholders with AI </li><li>Video: Creating Executive-Ready Presentations and Reports </li><li>Lab: Stakeholder Communication </li><li>Video: Combining AI with Traditional BA Tools </li><li>Video: Workflow Design for Hybrid Human-AI Analysis </li><li>Lab: Building an Integrated Business Analysis Workflow</li><li>Reading: Tool Integration Guide for Business Analysts</li><li>Summary and Highlights: Implementing AI in Business Analysis Workflows</li><li>Glossary: Implementing AI in Business Analysis Workflows</li><li>Practice Quiz: Implementing AI in Business Analysis Workflows</li><li>Graded Quiz: Implementing AI in Business Analysis Workflows</li></ul><div><strong>Module 3: Final Project and Wrap-up</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Reading: Final Project Overview</li><li>Final Project: Comprehensive AI-Enhanced Business Analysis Portfolio</li><li>Final Project Submission and Evaluation</li><li>Final Exam</li></ul><div><strong>Module 4: Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-up </li><li>Reading: Cheat Sheet: Gen AI Prompt Examples for Business Analysts</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul>
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Generative AI Skills for Business Analysts

Power up your business analysis career with generative AI skills that increase your productivity and enhance stakeholder communication. 

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  <div>In the age of <strong>intelligent automation</strong>, building AI agents that can <strong>reason</strong>, <strong>act</strong>, and <strong>collaborate</strong> is no longer a futuristic concept; it is a <strong>practical necessity</strong>. Whether you're working in cybersecurity, business strategy, or travel planning, agentic systems offer a powerful way to automate complex workflows, integrate with external tools, and deliver <strong>human-like decision-making</strong>.<br /><br /></div><div>This project introduces you to the <strong>BeeAI Framework</strong>, a cutting-edge, open-source platform developed under the <strong>Linux Foundation AI</strong> and backed by <strong>IBM Research</strong>. BeeAI is built for <strong>production-grade agent development</strong>, offering robust support for multiple <strong>LLM providers</strong> such as <strong>OpenAI</strong> and <strong>watsonx.ai</strong>, which give you access to popular models including <strong>OpenAI's GPT</strong>, <strong>IBM Granite</strong>, and <strong>Meta’s Llama</strong>.<br /><br /></div><div>With BeeAI, you’ll learn to build intelligent systems that go far beyond simple chatbots—systems that can reason, act, and collaborate, even with <strong>human oversight</strong>. Whether you're automating cybersecurity analysis, planning business strategies, or coordinating travel, BeeAI equips you with the tools to build <strong>real-world</strong>, <strong>multi-agent AI systems</strong> that are <strong>flexible</strong>, <strong>scalable</strong>, and ready for deployment.<br /><br /></div><div>By completing this <strong>hands-on guided project</strong>, you’ll gain the skills to build intelligent agents and multi-agent systems, <strong>even if you’ve never used BeeAI before.</strong></div><div><br /></div><div><br /></div><h1>A Look at the Project Ahead</h1><div>This project takes you from foundational concepts to advanced multi-agent architectures. You’ll build intelligent systems that solve real problems in cybersecurity, business planning, and travel automation. Along the way, you’ll learn how to integrate tools, enforce reasoning patterns, and include human oversight in your agents.<br /><br /></div><div><strong>By the end of this guided project, you will be able to:</strong></div><ul><li><strong>Design and build intelligent AI agents</strong> that can interact naturally, perform tasks, and make decisions based on structured reasoning.</li><li><strong>Integrate external tools and data sources</strong> into your agents to enhance their capabilities, including research, calculations, and weather forecasting.</li><li><strong>Create collaborative multi-agent systems</strong> where specialized agents work together to solve complex problems through coordinated workflows.</li><li><strong>Implement human oversight and control mechanisms</strong> to ensure agents operate safely and transparently in production environments.</li></ul><div><br /></div><h1>What You'll Need</h1><div>To get started with this guided project, you’ll need:</div><ul><li>Basic Python programming knowledge</li><li>General understanding of AI agents and LLMs (helpful but not required)</li><li>A modern browser, such as a current version of Chrome, Edge, Firefox, Safari, or Internet Explorer</li><li>No prior experience with BeeAI is required: everything is covered step-by-step</li></ul>
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Build Agentic and Multi-Agent Systems in Python using BeeAI

Build tool calling agents, ReAct agents, and human-in-the-loop multi-agent systems using OpenAI's GPT, IBM Granite, and Meta's Llama in the BeeAI Framework. This comprehensive, hands-on project requires no prior experience with BeeAI and takes you from initial setup to building intelligent systems for cybersecurity, business planning, and travel automation. 

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  <div>During the course, you'll build the hands-on skills you need to automate time-consuming tasks, enhance your analysis with AI-driven insights, and create clearer, more effective deliverables. Through real-world scenarios, you'll learn how to integrate AI into your existing tools and workflows, craft high-quality prompts for business-specific challenges, and address AI issues such as data privacy and organizational change. <br /><br />The course is ideal for business analysts, requirements analysts, and process specialists looking to enhance their workflows with AI, as well as data analysts, project managers, product owners, and BI professionals involved in business analysis. No prior AI experience is needed, but a basic understanding of business analysis concepts will help you get the most out of the course. <br /><br /><br /></div>
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Generative AI: Revolutionizing Business Analysis Techniques

Ready to take your business analysis skills up a gear? This course teaches you how to leverage the power of generative AI (GenAI) to work smarter, faster, and more effectively in business analysis. 

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  <div>Keen to leverage the power of generative AI to boost your success in sales? This course is specifically designed for sales professionals, account executives, and business development representatives who want to get hands-on using generative AI to draft personalized outreach, generate leads, manage pipelines, accelerate deal closures, and drive sales success.   <br /><br /></div><div>During this course, you’ll learn how to craft impactful LinkedIn messages, high-converting outreach emails, and compelling sales proposals using AI tools. You’ll explore platforms such as ChatGPT, Lavender.ai, Clay.ai, Apollo.io, Gong, Chorus, Salesforce Einstein, and more. Beyond automation basics, you'll discover how to tailor messages to specific buyer personas, segment leads effectively and prioritize accounts using AI-powered lead scoring.  <br /><br /></div><div>You’ll streamline follow-ups, build dynamic sales presentations, and support deal closure with AI-generated contracts and summaries. You’ll also build an AI-powered chatbot to simulate a basic sales interaction.  <br /><br /></div><div>Finally, you’ll complete a final hands-on project that simulates a full AI-enabled sales cycle, from lead generation to deal closure; ideal for showcasing in job interviews or performance reviews!   <br /><br /></div><div>If you’re eager to build practical generative AI skills to close sales smarter, faster, and at scale, enroll today. </div>
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Generative AI: Boost Your Sales Career

Build practical, job-ready skills for applying generative AI across the sales funnel, from outreach to closure Get hands-on using techniques for crafting personalized sales content with AI tools  Learn methods for engagement automation, lead scoring, and pipeline management with AI  Understand how to use AI tools such as ChatGPT to personalize emails, generate proposals, and create sales pitches effectively 

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  <div>By the end, you'll have a project that showcases your ability to plan and execute a complete UX assignment using industry-standard tools and techniques. You'll have demonstrable experience of building user flows, testing your designs with users, and making iterative improvements based on feedback. Plus, you'll know how to package your work into a compelling case study, create a strong UX resume, and build a job-ready portfolio that speaks to hiring managers and clients alike. <br />This capstone course is your opportunity to design an e-commerce platform from the ground up and showcase your skills to employers and team members.  <br />If you’re ready to step into a UX role, pitch to clients, or take the next big leap in your design career, enroll today!<br /><strong><br />Prerequisites and hardware requirements<br /></strong><br /></div><div>This course requires prior knowledge of foundational topics in UI/UX design, Agile development, usability principles, wireframing, and the basics of Figma. Additionally, user research methods, design principles, and prototyping are recommended. You must complete all the preceding courses in the <br /><a href="https://www.coursera.org/professional-certificates/ibm-ui-ux-designer">IBM UI/UX Designer Professional Certificate</a><br /> before you begin this course. You will need a laptop or desktop computer to get the most out of this course.<br /><br /></div><div><strong>Course outline<br /></strong><br />This course has seven modules. We encourage you to set aside a few weekly hours to complete all modules successfully. Consistency will help you achieve your learning goals!<br /><br />You will benefit from viewing all videos and readings and solidifying that knowledge by completing all the activities. To get the most value from this course, watch all videos, complete the readings, and participate in the hands-on activities. Test your knowledge through practice and graded quizzes, and demonstrate your skills in the final project.<br /><br /><strong>Module 1: Getting Started with the Capstone Project<br /></strong><br />In this module, you'll review the capstone project structure, tools, and expectations. You'll explore how it mirrors a real-world UI/UX workflow through the phases of design thinking: empathize, define, ideate, prototype, test, and deliver. You'll examine the project brief, understand deliverables, and begin planning your approach using tools like Figma and Miro to document and manage your progress.<br /><br /><strong>Module 2: Empathize and Define<br /></strong><br />In this module, you’ll explore foundational UX research skills by focusing on how to empathize with users and define their needs. Through role-play and hands-on labs, you'll simulate user interviews and conduct a competitive analysis. You'll synthesize findings into empathy maps, personas, and problem statements to frame user challenges and design opportunities. Additionally, you'll gain a deeper understanding of your users and more clearly define the problem to solve.<br /><br /><strong>Module 3: Ideate and Plan<br /></strong><br />This module guides you from analyzing research to generating design ideas and planning wireframes. You’ll brainstorm and sketch concepts, build user flows, and define information architecture. You’ll create a practical, goal-aligned design plan to support wireframing and prototyping by prioritizing features and mapping success metrics.<br /><br /><strong>Module 4: Wireframing and Prototyping<br /></strong><br />In this module, you will turn design plans into wireframes and interactive prototypes. You’ll use Figma to structure screens with layout grids and components for consistency. Then, you’ll connect wireframes with interactive flows using variants and states to simulate real user behavior. By the end of the module, you’ll have a mid-fidelity prototype ready for usability testing.<br /><br /><strong>Module 5: Usability Testing and Iteration<br /></strong><br />In this module, you’ll apply what you’ve learned to validate your design through usability testing. You’ll simulate interactions, identify flaws, and gather feedback using methods like think-aloud testing and task-based feedback. You’ll practice iteration based on real user behavior to ensure the product is effective and easy to navigate.<br /><br /><strong>Module 6: Final User Interface Design and Handoff<br /></strong><br />In this module, you’ll finalize your UI design by creating high-fidelity mock-ups, applying visual styles and accessibility practices, building a scalable design system, and preparing organized files and documentation for developer handoff. You’ll also complete and submit your final project for evaluation.<br /><br /><strong>Module 7: Launch Your UI/UX Career and Course Wrap-up<br /></strong><br />This module prepares you to enter the job market by guiding you through turning your capstone project into a portfolio case study, drafting a strong UI/UX resume, exploring career paths including freelancing, and practicing interview questions using real-world scenarios. By the end of this module, you will possess the tools and confidence to showcase your work and communicate your value to employers or clients.<br /><br />Congratulations on taking this step to enhance your UI/UX design knowledge! We look forward to guiding you through the fascinating world of user-centered design in the real world.<br /><br /></div>
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Capstone Project: Applying UI/UX Design in the Real-World

Experience advanced mobile app development, focusing on UI/UX design, through this comprehensive capstone project. Master skills, including design thinking, using Figma for UI design. Learn wireframing, conduct effective user research, and ensure app scalability. Apply these techniques to create impactful, user-centered designs.

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  <div>This course provides a structured approach to designing AI-powered systems using agentic design principles, orchestration strategies, and proven workflow patterns. You’ll explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs.<br /><br />You’ll start with LangGraph, applying key design patterns such as sequential flows, routing, and parallelization to structure agent interactions. From there, you’ll move to CrewAI, where you’ll orchestrate agents, tasks, and tools, generate structured outputs using YAML and Pydantic, and extend capabilities with custom functions. Finally, you’ll explore BeeAI for orchestrating agents and workflows, and AG2 for creating multi-agent conversations and role-based collaboration.<br /><br />Through hands-on labs and real-world use cases, you will gain the skills needed to build scalable, maintainable, and efficient AI applications. <br /><br />Enroll today to gain cutting-edge agentic AI skills employers are looking for. </div>
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Agentic AI with LangGraph, CrewAI, AG2, and BeeAI

Learn to build intelligent, autonomous multi-agent systems using powerful frameworks that can plan, collaborate, and execute complex tasks. 

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  <div>The badge earner grasps the significance of the watsonx AI and data platform and has a solid understanding of the variety and capabilities of foundation models available in watsonx.ai, including IBM’s model strategy. They recognize the importance of diverse foundation models for various business applications and are well-versed in the trade-offs and benefits of different model selections to effectively address client needs.</div>
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watsonx.ai Generative AI Models Sales Foundation

Understand the variety and capabilities of foundation models available in watsonx.ai, including IBM’s model strategy

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  <div>To complete the learning plan, all required activities must be marked as completed.  In addition, IBM sellers must submit additional work<strong> </strong>to their manager for evaluation <strong>and approval </strong>(such as a Stand and Deliver, demo video, etc), while IBM Business Partners must get a minimum score of 75% in a quiz. <br /><br />Take this course to gain hands-on experience with watsonx.ai models. In doing so, you will gain the knowledge and experience needed to demonstrate the key features and capabilities of watsonx.ai models to your clients.  <br /><br />Specifically, you will get hands-on experience in the following areas: </div><ul><li>Navigate the watsonx.ai interface and gain insights and information on generative AI models available from watsonx.ai. </li><li>Learn how to compare models effectively to provide advice to clients in their decisions.</li></ul>
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watsonx.ai Generative AI Models Level 3

Gain the knowledge and experience needed to demonstrate the key features and capabilities of watsonx.ai models to your clients

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  <div>To complete the learning plan, all required activities must be marked as completed. In addition, IBMers must submit additional work<strong> </strong>to their manager for evaluation <strong>and approval </strong>(such as a Stand and Deliver, demo video, etc), while IBM Business Partners must get a minimum score of 75% in a quiz. <br /><br />You will work with predictive and generative AI models, track their metadata and evaluations through the model lifecycle, and see how watsonx.governance allows clients to comply with regulations and trust that their AI models can be infused into their businesses.</div>
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IBM watsonx.governance Level 3

This learning plan is a technical lab that shows you how set up a watsonx.governance environment to demonstrate many advantages of the IBM platform

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  <div>Badge earners grasp the significance of the watsonx.governance platform and how watsonx.governance monitors, evaluates, and manages predictive and generative models across the entire enterprise.</div>
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watsonx.governance Sales Foundation

The badge earner understands the concepts and advantages of artificial intelligence (AI) governance, along with IBM's AI strategy for addressing ethical and sustainable AI challenges

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  <div>To complete the learning plan, all required activities must be marked as completed.  In addition, IBMers must submit additional work to their manager for evaluation <strong>and approval</strong> (such as a Stand and Deliver, demo video, etc), while IBM Business Partners must get a minimum score of 80% in a quiz.   <br /><br /></div>
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watsonx Orchestrate Level 3

Take this course to learn how to effectively demonstrate the capabilities of IBM watsonx Orchestrate to your clients. 

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  <div>They gained knowledge about how to have client conversations to reveal common business challenges and are able to articulate how watsonx Orchestrate can address and solve common pain points. The earner also knows how to beat the competition, and leverage Watson's skills and integrations to streamline client efforts making teams effective.</div><div><br /></div>
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watsonx Orchestrate Sales Foundation

This badge earner has proven their fundamental knowledge of IBM watsonx Orchestrate™

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  <div>Chatbots can save businesses up to 30% on customer support costs alone (Shopify), and AI developers with strong chatbot skills are in high demand! This Building AI Powered Chatbots Without Programming course gives aspiring AI application developers and engineers the skills businesses need to build chatbots in just 6 weeks. No programming experience required! </div><div> </div><div><strong>You Will Learn:</strong>  </div><ul><li>The job-ready chatbot skills businesses need in just 6 weeks! No programming experience required. </li><li>How to embed an AI powered recommendation system into a chatbot to ensure personalized customer service.  </li><li>How to implement and test complex workflows within chatbot actions to enhance user interactions.  </li><li>Plus, you’ll gain hands-on experience deploying a chatbot in a real-world scenario </li></ul><div> </div><div><strong>Course Overview</strong> </div><div> </div><div>Designed for students or professionals interested in creating chatbots, this course equips learners with the skills to create and deploy effective chatbot solutions without any coding requirements. </div><div> </div><div>During this course, you’ll explore what chatbots are and how they benefit businesses and users. You’ll learn about action workflows and the key features of a chatbot. You’ll dive into the high-level differences between decision-tree chatbots and generative AI chatbots. Plus, you’ll look at the concept of actions within chatbots and learn to build them using IBM watsonx Assistant.  </div><div> </div><div>Through interactive labs, you’ll also gain valuable hands-on experience applying what you’ve learned to real-world scenarios, such as creating a customer care chatbot for a flower shop. Great for talking about in interviews! </div><div> </div><div>If you’re looking to develop the essential chatbot skills employers are looking for, enroll today and get ready to power up your resume in just 6 weeks! </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>This is a beginner-level course, so no prior knowledge or programming experience is required to take this course. </div><div> </div><div><strong>IBM Specialization</strong>   </div><div> </div><div>This course is part of the IBM AI Foundations for Everyone Specialization. If you’re keen to kickstart a career in AI, we recommend you enroll for the full Specialization program and work through the courses in order. Within just a few weeks, you’ll build job-ready AI skills to enhance your AI career options and have practical experience on your resume that will catch the eye of employers! </div><div> </div><div><strong>Course Syllabus</strong> </div><div> </div><div>Module 1: Chatbot Fundamentals   </div><ul><li>Lesson 0: Welcome </li><li>Lesson 1: Getting Started with Chatbots   </li><li>Lesson 2: Module Summary and Assessment   </li></ul><div> </div><div>Module 2: Decision Tree Chatbots </div><ul><li>Lesson 1: Building a Decision Tree Chatbot </li><li>Lesson 2: Module Summary and Assessment  </li></ul><div> </div><div>Module 3: Variables in Chatbot Interactions </div><ul><li>Lesson 1: Maintaining State with Variables </li><li>Lesson 2: Module Summary and Assessment </li></ul><div> </div><div>Module 4: Enhancing Chatbot Functionality </div><ul><li>Lesson 1: Handling Advanced Logic </li><li>Lesson 2: Module Summary and Assessment </li></ul><div> </div><div>Module 5: Chatbot Deployment Essentials    </div><ul><li>Lesson 1: Deploying Your Chatbot </li><li>Lesson 2: Module Summary and Assessment </li></ul><div> </div><div>Module 6: Final   Exam and Course Wrap-Up </div><ul><li>Lesson 1: Final Exam </li><li>Lesson 2: Glossary and Wrap-Up </li></ul>
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Building AI-Powered Chatbots Without Coding

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  <div>With the explosion of AI-generated art (e.g., Studio Ghibli styled images) and creative applications, understanding neural style transfer has become essential for anyone working in computer vision, generative AI, or creative technology. This comprehensive project takes you through Gatys' groundbreaking  optimization approach to modern real-time implementations that power Instagram filters and billion-dollar creative AI platforms. Rather than just applying pre-built models, you'll implement a neural style transfer architectures from scratch, understanding the deep learning principles that separate artistic style from image content and the optimization techniques that made AI creativity accessible to millions worldwide.<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>Implement the complete Gatys neural style transfer architecture</strong>: Build the VGG-based optimization method from the ground up, understanding how convolutional neural networks learn artistic representations and the mathematical foundations that enabled AI to create art for the first time.</li><li><strong>Master foundational computer vision and deep learning techniques</strong>: Learn perceptual loss functions, feature extraction, Gram matrix calculations, and content-style separation while gaining hands-on experience with PyTorch implementations that form the theoretical backbone of all creative AI.</li><li><strong>Understand the mathematical foundations behind the creative AI revolution</strong>: Dive deep into loss function design, optimization landscapes, and neural network interpretability that made Gatys' method the launching point for the entire field of neural artistic style transfer.</li></ul><div><br /></div><h1>Who Should Enroll</h1><ul><li><strong>Computer vision engineers and AI researchers</strong> wanting to master the foundational technique behind creative AI, understanding both the theoretical principles and practical implementation of the seminal neural style transfer method that started it all.</li><li><strong>Machine learning practitioners</strong> working with generative models who need deep expertise in convolutional architectures, optimization methods, and the core algorithmic innovations that transformed academic computer vision research into artistic applications.</li><li><strong>Creative technologists and digital artists</strong> seeking to understand the technical foundations behind AI art tools, enabling them to grasp the fundamental principles that govern how neural networks can learn and transfer artistic style.<br /><br /></li></ul><h1>Why Enroll</h1><div>Gatys' neural style transfer represents the perfect introduction to the intersection of cutting-edge AI research and creative applications, teaching you the deep learning fundamentals that launched the entire generative AI revolution. You'll gain expertise in convolutional neural networks, optimization algorithms, and computer vision techniques while building the foundational system that demonstrated how AI could create art. By the end, you'll understand not just how neural style transfer works, but the fundamental principles that make AI creativity possible—positioning you with essential knowledge for any work in generative AI or creative technology.<br /><br /></div><h1>What You'll Need</h1><div>To get the most out of this project, you should have solid Python programming experience and familiarity with basic machine learning concepts like neural networks and gradient descent. Some exposure to computer vision or image processing is helpful but not required, as we'll cover the necessary fundamentals. Prior experience with PyTorch is beneficial but not essential—we'll guide you through the framework-specific implementations. All development environments are pre-configured with GPU acceleration, and the project works optimally on current versions of Chrome, Edge, Firefox, or Safari with adequate system memory for running deep learning models.</div><div><br /></div>
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Introduction to Neural Style Transfer

Deep dive into AI art generation and deep learning computer vision with neural style transfer—the breakthrough that launched the creative AI revolution. Transform any image into stunning artistic masterpieces using convolutional neural networks using Gatys' foundational VGG-based optimization to cutting-edge real-time implementations. Learn machine learning fundamentals, PyTorch coding, and advanced image processing techniques that power billion-dollar AI tools like Instagram filters, Prisma, and professional design software.

<div>Prepare for a career in the high-demand field of software development. This program equips you with the skills, tools, and portfolio to stand out in the job market as an entry-level backend developer—in as little as six months.<br><br>After completing this professional certificate, you will be able to:</div><ul><li>Identify key concepts, tools, and workflows used by modern backend developers, including scripting, version control, and server-side technologies.</li><li>Develop backend applications using Python and object-oriented programming principles, while managing dependencies with package managers.</li><li>Implement version control workflows using Git and GitHub to collaborate effectively and track project history.</li><li>Deploy and scale server-side applications using Docker, Kubernetes, microservices, and serverless functions.</li><li>Integrate CI/CD pipelines and monitoring solutions to automate stages of the software development lifecycle.</li><li>Implement security best practices, develop secure by design applications, and detect vulnerabilities.</li><li>Evaluate the performance and scalability of deployed applications using observability tools and deployment best practices.</li></ul><div><br>The following skills are required to be successful in this program:&nbsp;<br><br></div><ul><li>Basic computer and IT literacy.&nbsp;</li></ul><div><br></div><div>Backend developers design and build the systems that power websites and applications behind the scenes. As digital infrastructure grows, so does the demand for skilled professionals in this area.<br><br></div><div>You’ll gain hands-on experience with the latest tools and technologies used by professional back-end developers, including Linux scripting, Git and GitHub, Python, SQL, relational and NoSQL databases, Django, Docker, Kubernetes, OpenShift, microservices, serverless computing, application security, and system monitoring. Through guided labs and projects, you’ll learn to build robust server-side systems that support modern web and mobile applications.<br><br></div><div>Upon completing the program, you’ll have built a portfolio of real-world projects to showcase your expertise and strengthen your confidence in interviews. You’ll also earn a Professional Certificate from IBM, recognized by employers worldwide.</div><div><br></div><div><strong>Hands-on Learning and Projects<br></strong><br></div><ul><li>Throughout the program, you’ll apply your knowledge in hands-on labs and real-world projects, including:</li><li>Writing shell scripts to automate tasks like file backups.</li><li>Creating and publishing open-source projects on GitHub.</li><li>Building a Python app that translates between English and French using API endpoints.</li><li>Developing microservices based applications and deploying on IBM Cloud with CI/CD and serverless computing.</li><li>Enhancing an online course by implementing Django-based full-stack features.</li><li>Deploying a multi-tier guestbook using Docker containers, and Kubernetes.</li><li>Creating a dynamic back-end system for a concert app, combining MongoDB, Flask, and Django.</li><li>Analyzing and responding to real-world software engineering job postings.</li></ul>

IBM Backend Developer - Python - Professional Certificate

Launch your career as a back-end developer. Learn Python, Django, Docker, and more. Build hands-on projects and a job-ready portfolio in under 6 months.

<div>Professionals with generative AI (GenAI) skills command an average salary premium of around <strong>47%</strong> over peers without these skills (HR Dive). For Product Owners, GenAI is key to staying competitive and delivering greater business value. This Generative AI for Product Owners Specialization equips you with the hands-on skills to leverage AI-powered tools, apply prompt engineering best practices, and drive product success with innovation and efficiency in just 3 weeks.&nbsp;<br><br></div><div>In this hands-on program, you’ll learn how to:&nbsp;</div><ul><li>Write effective prompts and use prompt engineering techniques that produce the outputs you need in seconds&nbsp;</li><li>Use GenAI tools to increase your productivity and enhance product strategy, backlog management, and stakeholder alignment&nbsp;</li><li>Adopt GenAI responsibly with an understanding of ethics, bias, and transparency&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>This three-course specialization is designed for Product Owners who want to get ahead in today’s fast-moving, AI-driven world. In just three weeks, you’ll gain the knowledge and applied skills to accelerate product delivery, optimize workflows, and improve team collaboration with GenAI.&nbsp;</div><div>&nbsp;</div><div>You’ll explore how to use GenAI across the product lifecycle—from shaping product visions and roadmaps to analyzing customer feedback, market trends, and competitive insights. You’ll get hands-on experience using leading AI tools such as ChatGPT, Gemini, Copilot, and Claude to refine user stories, prioritize features, and foster stronger stakeholder communication. Plus, you’ll complete labs and guided projects that simulate real-world scenarios. Examples include:&nbsp;</div><div>&nbsp;</div><ul><li>Generate text, images, and code with GenAI&nbsp;</li><li>Use naive prompting, persona patterns, and advanced prompting strategies&nbsp;</li><li>Apply interview, chain-of-thought, and tree-of-thought methods to gather insights&nbsp;</li><li>Identify AI opportunities in product development and sprint planning&nbsp;</li><li>Boost stakeholder engagement through AI-powered insights&nbsp;</li><li>Apply ethical AI principles to ensure responsible adoption&nbsp;</li></ul><div>&nbsp;</div><div>Then, in the final project, you’ll apply everything you’ve learned, designing prompts, generating content, analyzing interviews, creating user stories, and building a prioritized product backlog powered by GenAI.&nbsp;</div><div>&nbsp;</div><div>This applied learning experience ensures you walk away not just with theoretical knowledge, but with job-ready AI skills you can use immediately in your role as a Product Owner.&nbsp;</div><div>&nbsp;</div><div>Take your product career to the next level—enroll today and gain job-ready AI skills in just 3 weeks!&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>No prior AI or coding experience is required. This specialization is designed for current and aspiring Product Owners, Agile practitioners, Business Analysts, and Product Managers who want to future-proof their careers by integrating GenAI into their product development practices.&nbsp;</div><div>&nbsp;</div><div>A basic understanding of product management concepts, Agile methodology, or backlog management will help you get the most out of this program.&nbsp;</div><div>&nbsp;</div><div><strong>Job Outlook</strong>&nbsp;</div><div>Organizations are looking for leaders who can leverage AI to accelerate delivery, generate insights, and manage products more effectively.&nbsp;</div><div>&nbsp;</div><div>According to industry reports, AI-driven product management is one of the fastest-growing career areas, with employers seeking professionals who can responsibly apply AI to product strategy and development. By completing this program, you’ll position yourself at the forefront of this evolution—ready to lead product innovation, streamline operations, and deliver exceptional value with GenAI.&nbsp;</div>

Generative AI for Product Owners Specialization 

Power up your Product Owner career with GenAI.  Build the latest GenAI skills employers look for in just 3 weeks. No prior AI or programming experience required. 

<div>Product Owners are in high demand across industries, with average U.S. salaries around $110,000 (Indeed). Whether you're just starting out or looking to add certification to your resume, this <strong>Professional Certificate</strong> gives you the job-ready skills and generative AI (GenAI) techniques employers value, plus you’ll prepare <strong>for the Scrum.org PSPO I exam</strong> —no prior experience required.&nbsp;<br><br></div><div><strong>You will:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Build job-ready Product Owner skills that employers look for—plus gain real-world experience you can showcase in interviews. &nbsp;</li><li>Learn the core principles, tools, and terminology Product Owners rely on to lead within the Scrum framework.&nbsp;</li><li>Gain practical know-how in managing product backlogs, prioritizing features, and responding to shifting customer and market demands.&nbsp;</li><li>Apply Agile practices like iterative development and user story mapping—while preparing to pass the PSPO I certification exam.&nbsp;</li><li>Build hands-on GenAI skills that enable Product Owners to strengthen product strategy, enhance stakeholder collaboration, &amp; significantly boost efficiency&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>What do Product Owners do? Product Owners play a key role in delivering successful products. They set the product vision, manage the backlog, prioritize features, and align cross-functional teams to meet customer needs and business goals.&nbsp;</div><div>&nbsp;</div><div>In this hands-on, project-based program, you'll dive deep into the <strong>Scrum framework</strong> and gain a solid understanding of core Product Owner responsibilities. You'll learn how to define a clear product vision and translate that vision into actionable roadmaps that guide development. As you progress, you'll practice writing effective <strong>user stories</strong>, refining product backlogs, and setting priorities to keep teams aligned and focused on delivering value.&nbsp;</div><div>&nbsp;</div><div>The program also emphasizes the importance of managing stakeholder expectations and making data-informed decisions to steer product strategy. Along the way, you'll apply key <strong>Agile and Lean Startup practices</strong>, such as iterative development, MVP testing, and release planning—equipping you with the practical skills to drive continuous improvement and real-world product success.&nbsp;</div><div>&nbsp;</div><div>You’ll also learn how to leverage GenAI to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.&nbsp;</div><div>&nbsp;</div><div>As you work through the program, you'll complete real-world projects that build your confidence and experience and give you plenty to talk about in interviews—plus, you'll prepare for the <strong>PSPO I certification</strong> exam with Scrum.org.&nbsp;</div><div><br></div><div>&nbsp;Project examples include:&nbsp;</div><ul><li><strong>Craft a product vision</strong> <strong>and roadmap</strong> aligned to customer and business outcomes&nbsp;</li><li><strong>Write user stories</strong>, define acceptance criteria, and prioritize the product backlog&nbsp;</li><li><strong>Design stakeholder engagement strategies</strong> and feedback loops&nbsp;</li><li><strong>Plan product releases</strong> and build a minimum viable product (MVP)&nbsp;</li><li><strong>Test assumptions with Lean Startup techniques</strong> to optimize product value&nbsp;</li><li><strong>Use GenAI tools to efficiently</strong> create essential product artifacts and deliverables across the product lifecycle.&nbsp;</li></ul><div>&nbsp;</div><div>If you're keen to build the job-ready skills, GenAI competencies, and practical experience employers look for in a successful Product Owner, enroll today!&nbsp;</div><div>&nbsp;</div><div>This certificate is ideal for:&nbsp;</div><ul><li>Aspiring Product Owners keen to enter the field&nbsp;</li><li>Project Managers or Product Managers looking to upskill and pivot into agile product leadership</li></ul><div><br></div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for Product Owners is on a high-growth trajectory. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>According to Payscale, entry-level Product Owners in the US can expect to earn ~$77K–$92K annually and Senior Product Owners can earn $110K–$150K annually.&nbsp;</li><li>The Bureau of Labor Statistics forecasts an 11% growth in demand for Product Owners until 2030—well above the U.S. average for all occupations.&nbsp;</li><li>Launch notes has stated that the increasing adoption of Agile, remote work, and digital transformation is fueling demand for Product Owners.</li></ul><div><br></div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is specifically designed for beginners. However, to get the most from this program, you do need basic computer literacy.&nbsp;</div>

IBM Product Owner Professional Certificate 

Build the job-ready skills and GenAI competencies you need to launch your Product Owner career in only 3 months. Gain hands-on experience recruiters look for and prepare for PSPO I certification success. No prior experience required! 

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  <div>As AI systems grow in capability and complexity, the need for modular, scalable, and collaborative architectures becomes increasingly critical. Single-model solutions often fall short when tackling real-world problems that require diverse skill sets, dynamic decision-making, and interaction with external tools or environments. That’s where multi-agent, multi-tool systems come in.<br /><br /></div><div>This project introduces you to the cutting edge of AI system design—where specialized agents, each with distinct roles and capabilities, work together using toolchains to solve problems that no single model could handle alone. Whether you're building intelligent assistants, autonomous research agents, or workflow automation systems, understanding how to design and orchestrate these ecosystems will give you a powerful edge.<br /><br /></div><div>By completing this project, you'll gain practical experience in designing distributed AI systems that are robust, flexible, and ready for real-world deployment. You'll learn how to make agents communicate, delegate tasks, and interact with tools in a way that mirrors human collaboration—unlocking new possibilities in automation, decision-making, and intelligent system design.<br /><br /></div><div><br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this guided project, you’ll explore the principles and practices behind multi-agent, multi-tool AI architectures.  By the end of the project, you’ll be able to:</div><ul><li>Design and implement a distributed AI system composed of multiple agents with specialized roles, capable of solving complex tasks through collaboration.</li><li>Integrate external tools and APIs into your agent ecosystem, enabling agents to perform actions beyond their native capabilities and work together seamlessly.</li></ul><div><br /></div><h1>What You'll Need</h1><div>To get the most out of this project, you should have:</div><ul><li>A basic understanding of Python programming</li><li>Familiarity with concepts in AI or machine learning (helpful but not required)</li><li>Curiosity about system design, automation, and intelligent agents</li></ul><div>The IBM Skills Network Labs environment provides everything you need to get started. You’ll be working in a browser-based environment that supports Chrome, Edge, Firefox, Safari, and Internet Explorer—no setup required.<br /><br /></div>
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Multi-Agent, Multi-Tool Systems: Design AI For Complex Tasks

Explore how to design and deploy AI architectures composed of specialized agents and toolchains that work together—cooperating, delegating, and communicating to solve problems beyond the scope of a single model. You'll learn design patterns for distributed agent collaboration, and tool interoperability. Through practical examples and guided exercises, you'll gain hands-on experience building robust, scalable agent ecosystems for real-world applications.

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  <div>Large language models are becoming essential tools in many organizations, powering everything from customer support to content creation. However, without proper oversight, these models can produce content that is off-topic, inappropriate, or misaligned with your company’s values. This can lead to reputational risks and ethical concerns.<br /><br />This project is designed to help you take control of how AI communicates on behalf of your organization. You will learn how to guide and shape the output of language models so that it stays relevant, professional, and aligned with your communication goals. Whether you are a data scientist, product owner, or content strategist, this project will give you the tools to ensure that AI-generated content reflects your brand’s voice and standards.<br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this hands-on guided project, you will explore practical methods for building and applying guardrails that keep AI interactions focused and appropriate. You will gain experience with techniques that help monitor and manage the behavior of large language models in real time.<br /><br /></div><div>By the end of this project, you will be able to:</div><ul><li>Create and apply strategies that ensure AI-generated content remains consistent with your company’s communication goals and professional tone.</li><li>Implement safeguards that detect and prevent the generation of content that is off-topic or inappropriate, helping to protect your organization’s reputation and uphold ethical standards.</li></ul><div><br /></div><h1>What You'll Need</h1><div>All you need is a modern browser such as the latest version of Chrome, Edge, Firefox, Safari, or Internet Explorer and an interest in learning how guardrails can guide the behavior of large language models!</div>
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Prevent Failures and Stay On-Message with LLM Guardrails

Implement effective guardrails for large language models (LLMs) to ensure they align with your company's communication goals in this hands-on lab. You'll learn how to establish mechanisms that keep AI interactions relevant and on-topic, prevent the generation of inappropriate content, and uphold the professional and ethical standards of your organization. By mastering these strategies, you can enhance your company's reputation by maintaining control over AI-generated content.

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  <div>Have you ever had a brilliant app idea but felt blocked by a lack of coding experience? What if you could bring that idea to life in the time it takes to watch a movie? This project is your launchpad into the world of software creation, no matter your background. We're throwing out the old rulebook and introducing you to <strong>"Vibe Coding"</strong>—a revolutionary approach that uses Artificial Intelligence to turn your vision into a reality.<br /><br /></div><div>Forget steep learning curves and complex syntax. With "Vibe Coding," the focus is on your creativity. You'll partner with an intuitive AI tool called <strong>Vibe Coding Studio</strong> that acts as your co-developer, translating your ideas into functional code. This isn't just about learning to code; it's about learning to <em>create</em>. By the end of this 90-minute journey, you won't just have an app; you'll have the confidence and the skills to start turning all your future ideas into tangible, working projects.</div><div><br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this guided project, you'll experience the entire application development lifecycle at an accelerated pace. We'll start with a simple concept and, step-by-step, use the power of AI and Vibe Coding Studio to build it into a fully functional application. You'll see firsthand how "Vibe Coding" streamlines the process, handling the heavy lifting so you can focus on the creative aspects of your design.</div><div>By the end of this project, you will be able to:</div><ul><li><strong>Translate an Idea into a Tangible Design:</strong> Use AI-powered tools to brainstorm and structure your application's features and user interface, turning a vague concept into a clear, actionable blueprint.</li><li><strong>Build a Working Application with AI:</strong> Leverage our "Vibe Coding" environment to generate the code, build the application's core logic, all without writing a single line of traditional code yourself.</li></ul><div><br /></div><h1>What You'll Need</h1><div>This project is designed for absolute beginners and creative thinkers. If you have an idea, you're ready to start.</div><ul><li><strong>Prerequisite Skills:</strong><ul><li>No prior coding or technical experience is required!</li><li>A curious mind and a desire to create.</li></ul></li><li><strong>Technology Requirements:</strong><ul><li>A stable internet connection.</li><li>A current version of a modern <strong>Chromium-based</strong> web browser like <strong>Chrome, Edge, Perplexity Comet etc. </strong></li><li><strong>Warning: Firefox and Safari are not supported and should not be used for this project.</strong></li></ul></li></ul><div>The IBM Skills Network Labs environment comes with all necessary tools <strong>pre-installed and pre-configured</strong>. You can dive right into creating without any complicated setup.</div>
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Idea to App in 90 Minutes: Your First Vibe Coding Creation

Unlock your creative potential and build a complete application, even if you've never coded before! This workshop introduces "Vibe Coding", a revolutionary method using AI to streamline development. We'll take you on a practical journey, transforming a concept into a working app, step-by-step. You'll learn how to leverage intuitive AI tools to design and build web applications, experiencing the magic of bringing software to life. Leave with a completed project and the confidence to continue innovating.

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  <div>Is your codebase more of a tangled mess than a well-oiled machine? In today's fast-paced development world, code isn't just static text; it's a living entity that needs to grow, adapt, and improve. Many developers get bogged down by technical debt, spending more time deciphering old code than building new features. This project is your guide to breaking that cycle.<br /><br /></div><div>You'll discover how to nurture your codebase's growth and dramatically improve its health using two revolutionary approaches: <strong>Artificial Intelligence</strong> and <strong>"Vibe Coding."</strong> Forget tedious, manual tasks. We'll show you how to partner with AI to accelerate your workflow, enhance code quality, and inject innovation into your projects. You'll learn to use <strong>Bolt</strong>, a powerful "vibe coding" tool, to move from idea to prototype at unprecedented speed. By the end of this project, you won't just write code; you'll cultivate a robust, maintainable, and forward-thinking codebase that's a pleasure to work with.</div><div><br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this hands-on guided project, you will step into the role of a developer tasked with revitalizing an existing codebase. You will use a powerful suite of AI tools and the vibe coding environment, Bolt, to transform the project from the ground up. You'll move beyond theory and directly apply cutting-edge techniques to see a tangible improvement in code quality and development speed.</div><div>As a result of completing this project, you will be able to:</div><ul><li><strong>Generate Comprehensive Documentation and Tests with AI:</strong> Automatically create insightful documentation and effective unit tests for existing code, saving hours of manual effort and making your projects easier for others (and your future self!) to understand.</li><li><strong>Refactor Code Intelligently:</strong> Apply AI-powered techniques to refactor complex code for improved clarity, efficiency, and performance, turning confusing scripts into clean, professional-grade code.</li><li><strong>Prototype Features at Lightning Speed:</strong> Use Bolt's "vibe coding" workflow to rapidly prototype and implement new features, allowing you to test ideas and innovate faster than ever before.</li><li><strong>Integrate a Modern AI-Powered Workflow:</strong> Combine various AI tools into a cohesive development process to build codebases that are more robust, maintainable, and prepared for future innovation.</li></ul><div><br /></div><h1>What You'll Need</h1><div>This project is designed for developers looking to upgrade their skillset. No prior experience with AI development tools is necessary!</div><ul><li><strong>Prerequisite Skills:</strong><ul><li>Basic programming experience in a language like <strong>Python</strong> or <strong>JavaScript</strong>.</li><li>Familiarity with common development concepts like functions, variables, and control structures.</li><li>Comfort working within a code editor or IDE.</li></ul></li><li><strong>Technology Requirements:</strong><ul><li>A stable internet connection.</li><li>A current version of a modern <strong>Chromium-based</strong> web browser like <strong>Chrome, Edge, Perplexity Comet etc. </strong></li><li><strong>Warning: Firefox and Safari are not supported and should not be used for this project.</strong></li></ul></li></ul><div>That's it! The IBM Skills Network Labs environment comes with all necessary AI tools <strong>pre-installed and pre-configured</strong> to ensure you can get started right away without any setup headaches.</div>
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Evolve Your Code: Enhance Projects with AI and Vibe Coding

Your codebase is a living entity. Learn how to nurture its growth and improve its health with AI and "Vibe Coding". This workshop is for developers looking to accelerate workflows and improve code quality. Through hands-on exercises, you'll master AI-powered techniques adding insightful documentation, creating effective unit tests, refactoring for clarity and performance, and prototyping new features. Learn to make your codebase more robust, maintainable, and innovative.

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  <div>Ready to supercharge your impact as a Product Owner using generative AI (GenAI)? In this course, you'll learn how to use AI-powered tools for product developing strategy, backlog prioritization, stakeholder engagement, and more. </div><div> </div><div><strong><em>You will learn how to:</em></strong> </div><ul><li>Increase your productivity using hands-on GenAI skills that transform how you work as a Product Owner  </li><li>Use GenAI tools to analyze market trends, gather customer feedback, and createproduct road maps based on data </li><li>Generate user stories, manage backlogs, and ensure strategic alignment across the product lifecycle using GenAI </li><li>Leverage GenAI to enhance stakeholder engagement, sentiment analysis, and improve communication during product development </li></ul><div> </div><div> </div><div><strong>Course Overview</strong>  </div><div> </div><div> </div><div>Hands-on GenAI skills can turn time-consuming product owner tasks into results in seconds. This course is designed to give both aspiring and experienced product owners the practical GenAI skills to enhance efficiency, drive product value, and ensure strategic alignment to stakeholder needs; all in just 8 hours of learning.   <br /><br /></div><div>During the course, you'll explore how GenAI shapes product strategy and maximizes product value through efficient backlog management, improved decision making, and enhanced stakeholder collaboration. You'll learn how to use GenAI tools to develop user stories , priortize backlogs , and plan sprints . You'll discover how to use of GenAI tools to enhance stakeholder engagement throughout the product development lifecycle. Plus, you'll examine the adoption of ethical AI practices to ensure you can identify risks, address bias, and promote responsible usage. </div><div> <br /><br /></div><div>Additionally you'll get practical experience using GenAI tools like Gemini, ChatGPT, and Copilot in hands-on labs. Plus, in a guided project, you'll create essential deliverables across the product lifecycle using these tools.   </div><div> </div><div>Enroll today to gain GenAI skills that will supercharge your efficiency and impact as a Product Owner <br /><br /></div><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Welcome</strong></div><ul><li>Video: Course Introduction </li><li>General Information</li><li>Learning Objectives and Syllabus</li><li>Reading: Grading Scheme</li><li>Reading: How to Make the Most of This Course</li></ul><div><strong>Module 1: Integrating AI into Product Ownership</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Generative AI for Product Owners </li><li>Video: How Product Owners Leverage Generative AI </li><li>Reading: Top Generative AI Tools for Product Owners</li><li>Video: Implementing Generative AI in Product Ownership </li><li>Reading: Case Study: Successful AI Implementations in Product Ownership</li><li>Lab: AI Opportunities in Product Development</li><li>Video: Generative AI's Role in Requirements Development </li><li>Video: Using AI for Strategic Decision-Making and Roadmapping </li><li>Reading: AI for Stakeholder and Sentiment Analysis</li><li>Video: AI for Innovation and Value Delivery </li><li>Reading: How AI Builds on Past Insights</li><li>Video: AI for Task Optimization </li><li>Lab: Generative AI-Powered Stakeholder Engagement</li><li>Module 1 Practice Quiz: Integrating AI into Product Ownership</li><li>Module 1 Summary: Integrating AI into Product Ownership</li><li>Module 1 Graded Quiz: Integrating AI into Product Ownership </li></ul><div><strong>Module 2: AI-Driven End-to-End Sprint Management and Ethical Considerations </strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Demo Scenario Overview</li><li>Video: Demo Video: AI for User Story Development </li><li>Video: Demo Video: AI for Backlog Development and Prioritization </li><li>Video: Demo Video: AI for Product Roadmap Development </li><li>Reading: Prompts for Demonstration Videos</li><li>Lab: Generative AI for Sprint Planning</li><li>Video: Using AI to Manage Sprint Execution </li><li>Video: Using AI to Manage and Share Knowledge </li><li>Reading: Ethical Considerations in AI Adoption</li><li>Video: Overcoming Bias in AI Models </li><li>Video: Risks of AI in Sprint Planning </li><li>Lab: AI Ethics in Program Decision-Making</li><li>Video: Challenges with Generative AI </li><li>Video: The Future of AI in Product Ownership </li><li>Module 2 Practice Quiz: AI-Driven End-to-End Sprint Management and Ethical Considerations</li><li>Module 2 Summary: AI-Driven End-to-End Sprint Management and Ethical Considerations</li><li>Module 2 Graded Quiz: AI-Driven End-to-End Sprint Management and Ethical Considerations </li></ul><div><strong>Module 3: Guided Project and Final Assessment</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Reading: Project Overview</li><li>Guided Lab Project: Develop a Scenario Based on an Interview with a Key Customer Segment</li><li>Final Quiz: Generative AI Skills for Product Owners </li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-Up </li><li>Course Glossary: Generative AI Skills for Product Owners</li><li>Reading: AI Prompting Cheat Sheet for Product Owners</li><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><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is ideal for existing Product Owners, </div><div>business analysts, UX researchers, and </div><div>professionals transitioning into product ownership roles. To get the most from this course, you should understand the product lifecycle stages, backlog management, and stakeholder communication. Familiarity with Agile or Scrum methodologies is also helpful. Plus, an understanding of data-driven decision-making, customer feedback, and market trends is also recommended. </div>
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Generative AI Skills for Product Owners

Turn generative AI into your superpower with skills to use GenAI tools to improve backlog management, product strategy, and stakeholder collaboration. 

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  <div><strong>Why Multi-Agent Systems Matter</strong></div><div>Ready to create AI that doesn't just think—but collaborates? Multi-agent systems are revolutionizing how we build intelligent applications by enabling autonomous agents to work together, share knowledge, and tackle complex real-world problems. This hands-on workshop will transform you from someone who knows about AI into someone who can architect intelligent, collaborative systems, with a special focus on the orchestrator—the master coordinator that manages agent interactions and workflows.</div><div><br /><strong>A Look at the Project Ahead</strong></div><div>By completing this project, you'll be able to:</div><ul><li>Build multi-agent systems using LangChain and LangGraph frameworks</li><li>Design and implement orchestrator patterns to coordinate multiple agents effectively</li><li>Implement Agentic design patterns for robust, scalable AI systems</li><li>Understand when to use agents vs. traditional LLMs and make informed architectural decisions</li><li>Create orchestration workflows that manage complex agent interactions and task distribution</li><li>Deploy collaborative AI systems that can handle real-world complexity</li></ul><div><strong>What You'll Need</strong></div><ul><li>Bring your own device (laptop recommended)</li><li>Basic Python programming knowledge</li><li>Familiarity with AI/ML concepts (helpful but not required)</li><li>Current version of Chrome, Edge, Firefox, or Safari</li><li>Enthusiasm for building intelligent systems that actually work together!</li></ul><div><strong>Note: The IBM Skills Network Labs environment comes pre-configured with the necessary tools and frameworks, so you can focus on learning rather than setup.</strong></div>
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Coordinating Intelligence: Architecting Multi-Agent Systems

Ready to create AI that doesn't just think—but collaborates? In this project you will build multi-agent systems using frameworks like LangGraph and LangChain where autonomous agents team up, share intel, and coordinate like a well-oiled machine. You will employ agentic design patterns, and strategies that make agents robust enough for the real world.

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  <div>After completing this capstone project, you will be able to:</div><ul><li>Demonstrate proficiency in designing, developing, and deploying real-world backend services and applications using Python.</li><li>Develop RESTful APIs and microservices using Flask, applying error handling, external API integration, and best practices.</li><li>Create and query NoSQL databases such as MongoDB and integrate them with Django-based backend applications.</li><li>Containerize backend microservices using Docker to enable consistent and scalable deployment across environments.</li><li>Deploy microservices using modern cloud-native platforms including Kubernetes and IBM Code Engine.</li><li>Evaluate and refine your backend application by debugging code and applying feedback.</li></ul><div><br />This is the capstone project for the <strong>IBM Backend Developer – Python – Professional Certificate</strong>. In this course, you will take on the role of a backend developer tasked with designing, developing, and deploying a real-world backend application composed of multiple microservices. Using technologies like Flask, Django, MongoDB, Docker, and Kubernetes, you’ll build scalable services, apply backend best practices, and demonstrate your full development workflow.</div><div><br />Throughout the course, you’ll integrate various technologies and deploy microservices independently using cloud-native platforms such as IBM Code Engine, and Kubernetes. By completing this capstone, you’ll create a portfolio-ready backend solution to showcase your skills to employers.</div><div><br />First, you’ll work with Flask, a lightweight Python web framework. You’ll learn how to build Flask applications that respond to specific URLs, handle client and server errors, and make external API calls. You’ll apply these skills to develop a microservice that generates images from past events.</div><div>Next, you’ll work with NoSQL databases, focusing on their structure, benefits, and use cases. You’ll gain hands-on experience with MongoDB, practicing basic shell commands and integrating it with Flask. This leads to the development of a songs microservice that supports full CRUD operations.</div><div><br />Then, you’ll move on to Django, where you’ll build the main application backend. You’ll define data models, use Django’s migration tools to create tables and relationships, and implement controllers that connect the business logic to templates.</div><div><br />After that, your focus will shift to deployment. You’ll containerize each microservice using Docker, push them to the IBM Container Registry, and deploy them using IBM Code Engine, and IBM Kubernetes Service. You’ll create Dockerfiles for each microservice and manage deployments using YAML configuration files.</div><div><br />Finally, you’ll wrap up the project by submitting your work for review. This includes screenshots from the hands-on labs, URLs for the deployed services, and GitHub repository links.</div><div><br />By the end of the course, you will have built and deployed a fully functional, cloud-native backend application using Python tools and modern DevOps workflows, demonstrating your readiness for real-world backend development roles.<br /><br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>We recommend completing all previous courses in the IBM Backend Developer – Python – Professional Certificate before starting this capstone.</div><ul><li>Through these courses, you will have developed working knowledge of the following required for this course: <ul><li>Software Engineering</li><li>Version control with Git </li><li>Linux and Shell Scripting</li><li>Python and Flask</li><li>Django </li><li>SQL Databases</li><li>Containers with Docker and Kubernetes</li><li>Microservices &amp; Serverless</li><li>Application Security</li><li>Monitoring and Observability</li></ul></li></ul><div><br /></div><h1>Course Syllabus</h1><div><strong><br />Module 1: Getting Started</strong></div><div> </div><div><strong>Lesson 1: Welcome</strong></div><div>·       Course Introduction</div><div> </div><div><strong>Lesson 2: Introduction to Capstone</strong></div><div>·       Project Tasks Overview</div><div> </div><div><strong>Lesson 3: Getting Started with Flask</strong></div><div>·       Lesson Overview</div><div>·       Introduction to Flask</div><div>·       Basic Application and Routes</div><div>·       Hands-on Lab: Practice with Flask Part 1</div><div>·       Request and Response Objects</div><div>·       Dynamic Routes</div><div>·       Error Handling</div><div>·       Hands-on Lab: Practice with Flask Part 2</div><div>·       Lesson Summary</div><div>·       Practice Quiz</div><div> </div><div><strong>Lesson 4: Creating Get Pictures Service with Flask</strong></div><div>·       Lesson Overview</div><div>·       Hands-on Lab: Create Get Pictures Service with Flask</div><div>·       Checklist</div><div>·       Graded Quiz</div><div><br /><strong>Module 2: Creating Get Songs Service with Flask</strong></div><div> </div><div><strong>Lesson 1: MongoDB Overview</strong></div><div>·       Lesson Overview</div><div>·       Overview of NoSQL</div><div>·       Characteristics of NoSQL Databases</div><div>·       Document-Based NoSQL Databases</div><div>·       Overview of MongoDB</div><div>·       Hands-on Lab: Getting Started with MongoDB</div><div>·       CRUD Operations</div><div>·       Hands-on Lab: MongoDB CRUD</div><div>·       Accessing MongoDB from Python</div><div>·       Connecting to MongoDB from Flask</div><div>·       Hands-on Lab: Accessing MongoDB from Python</div><div>·       Practice Quiz</div><div> </div><div><strong>Lesson 2: Creating Songs with MongoDB and Flask</strong></div><div>·       Lesson Overview</div><div>·       Hands-on Lab: Creating Get Songs Service with Flask</div><div>·       Module 2 Summary &amp; Highlights</div><div>·       Checklist</div><div>·       Graded Quiz</div><div> </div><div><strong>Module 3: Main Django Application</strong></div><div> </div><div><strong>Lesson 1: Main Django Application</strong></div><div>·       Lesson Overview</div><div>·       Hands-on Lab: Create Band Website with Django</div><div>·       Checklist</div><div>·       Graded Quiz</div><div><br /><strong>Module 4: Deploy Your Application and Services</strong></div><div><strong> </strong></div><div><strong>Lesson 1: Introduction to Serverless with Code Engine</strong></div><div>·       Lesson Overview</div><div>·       IBM Cloud Code Engine</div><div>·       Using Code Engine</div><div>·       Hands-on Lab: Deploying Your First Application on Code Engine</div><div>·       Hands-on Lab: Deploying Your First Docker Image on Code Engine</div><div>·       Practice Quiz</div><div> </div><div><strong>Lesson 2: Deploy Your Application and Services</strong></div><div>·       Lesson Overview</div><div>·       Hands-on Lab: Deploying Microservices</div><div>·       Hands-on Lab: Deploying Main Application</div><div>·       Checklist</div><div>·       Graded Quiz</div><div><br /><strong>Module 5: Final Submission and Peer Review</strong></div><div><strong> </strong></div><div><strong>Lesson 1: Final Submission and Evaluation</strong></div><div>·       Submit Your Work for Evaluation</div><div><strong>Lesson 2: Course Wrap-up</strong></div><div>·       Thanks from the Course Team</div><div>·       Congrats &amp; Next Steps</div><div><br /><br /><br /></div><h1><br /></h1>
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Capstone Project: Python Back-end Development

Build and deploy real-world backend applications using Python, Flask, Django, MongoDB, Docker, and Kubernetes. This capstone lets you apply backend skills, integrate microservices, and create a portfolio-ready project for showcasing to employers.

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  <div> Get ready to dive into React fundamentals, state management, hooks, and Redux to build modern, scalable front-end applications! React powers more than 40% of modern web applications and employers are actively seeking professionals who can design interactive, scalable, and maintainable user interfaces using React. After completing this course, you will be able to:  Develop interactive front-end applications using React components Manage state efficiently with hooks, props, and Redux Toolkit Implement forms, event handling, and lifecycle methods in React apps Apply industry-standard tools and workflows to create scalable applications  <br /><br /><strong>Course Overview</strong> <br />   This course is specifically designed  to give aspiring and experienced front-end developers, full stack developers, and UI engineers the React skills employers are looking for.   During the course, you’ll learn to build dynamic web interfaces, implement state and data management, and integrate modern tools and libraries into your projects. You’ll get an introduction to React, JSX, and ES6 for modern JavaScript development and explore core concepts of class and function components. You’ll dive into state and event management across components and look at React Hooks for handling side effects and lifecycle management. Plus, you’ll learn about Redux for global state management and RTK for simplifying workflows, as well as styling, DOM manipulation, and form handling.   Throughout the course, you’ll get hands-on practice using popular tools, completing tasks such as: Building an “Event Planner” app Building a to-do list, login, and signup forms Rendering e-commerce data with Redux Toolkit Building React components with ES6 and JSX syntax Managing state and props in class and function components Handling user events and working with component lifecycles Implementing advanced features such as hooks, Redux, and Redux Toolkit  Plus, you’ll complete a final project where you design and implement a complete React application. By the end, you’ll have practical experience that enhances your resume and portfolio, demonstrating to employers your ability to create production-ready front-end apps with React.   Enroll now to accelerate your career in front-end development. <br /> <br /><strong>Prerequisites</strong> <br />This is an <strong>intermediate-level</strong> course. You should be familiar with basic web development, including HTML, CSS, and JavaScript. Prior experience with ES6 is recommended but not required, as the course introduces core JavaScript concepts needed for React.<br /><br />  <strong>Related Professional Certificates<br /></strong> <br />This course is part of the <strong>IBM Front-End Developer Professional Certificate</strong>, which prepares you for job roles such as: Front-End Developer Full-Stack Developer React Developer UI/UX Developer It can also be combined with other learning paths in web development and cloud application development to broaden your career opportunities. <br /><br /></div>
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React for Front-End Development

Build job-ready, hands-on skills in React, one of the most in-demand JavaScript libraries for front-end development. 

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  <div>Cybersecurity poses ongoing challenges for all organizations with IT infrastructures and data that need safekeeping. Take this course if you want to build key skills to address common security threats and find out about best practices to guard against issues related to cybersecurity. Take this course as a first step towards a career as a cyber analyst or entry-level security engineer. You will also find this course useful if you want to become conversant with IT personnel in the field.  </div><div>Diving into the world of cybersecurity, you’ll gain critical skills employers need, including identifying security threats, encryption, safe browsing, and implementing electronic communications security best practices. Explore various types of cybersecurity risks related to browsing, authentication and authorization, malware, viruses, and privacy.  </div><div> </div><div>This course is ideal for technical support roles, often on the front lines of defense for cybersecurity issues, or managers and executives interacting with IT security personnel. <br /><br /><strong>Prerequisites  </strong></div><div><strong> </strong></div><div>A basic understanding of Basic computer operating skills, including using a web browser is recommended.   <br /><br /><strong>Related Specialization  </strong></div><div><strong> </strong></div><div>This course is part of <a href="https://catalog.skills.network/learning_path/142">IBM Technical (IT) Support Professional Certificate</a><strong> </strong>We recommend you enroll for the full specialization and work through the courses in order. Within a short time, you’ll have job-ready skills and practical experience on your resume that will boost your career!  </div><div><br /></div><h1>Course Syllabus</h1><div><strong>Welcome </strong></div><ul><li>Video: Course Introduction</li><li>Reading: Course Overview</li><li>Reading: Learning Objectives and Syllabus</li><li>General Information</li><li>Reading: Helpful Tips for Course Completion</li><li>Reading: Grading Scheme</li></ul><div><strong>Module 1: Common Security Threats and Risks</strong></div><ul><li>Video: Confidentiality, Integrity, and Availability </li><li>Video: Security and Information Privacy</li><li>Activity: Exploring Information Privacy</li><li>Reading: Intellectual Property and Types of Confidential Information</li><li>Video: Threats and Breaches </li><li>Video: Microsoft Windows Server Lab Environment</li><li>Hands-on Lab: Windows Update</li><li>Video: Threat Types</li><li>Video: Phishing, Social Engineering, and Other Attacks</li><li>Activity: Identifying an Attack</li><li>Reading: Physical Security for Computing Devices</li><li>Reading: Case Study</li><li>Activity: Identifying Malware Threats </li><li>Reading: Windows Defender Antivirus</li><li>Just for Fun - Hands-on Lab: Hacker Typer</li><li>Reading: Summary &amp; Highlights</li><li>Practice Quiz: Common Security Threats and Risks</li><li>Graded Quiz: Common Security Threats and Risks</li><li>Discussion Prompt: Introduce Yourself</li></ul><div><strong>Module 2: Security Best Practices </strong></div><ul><li>Video: Password Management Techniques  </li><li>Video: Authentication and SSO</li><li>Hands-on Lab: Enforce Strong Password Policies</li><li>Video: Security Threats: Access Control, Authorization, and Authentication</li><li>Video: Hardening Devices</li><li>Reading: Firewalls</li><li>Hands-on Lab: Windows Firewall with Advanced Security</li><li>Video: Security Threats: Validation and Device Usage</li><li>Video: Security Threats: Encryption Concepts</li><li>Video: Managing Email and Spam</li><li>Activity: Identifying Phishing Attempts</li><li>Reading: Data continuity and Encryption</li><li>Reading: Password Management</li><li>Reading: Summary &amp; Highlights</li><li>Practice Quiz: Security Best Practices </li><li>Graded Quiz: Security Best Practices </li></ul><div><strong>Module 3: Safe Browsing Practices</strong></div><ul><li>Video: Safe Browsing Practices: Application Ecosystem Security</li><li>Video: Safe Browsing Practices: Public Browsing Risks</li><li>Video: Safe Browsing Practices: Plug-ins, Extensions, and Toolbars</li><li>Video: Security Threats: Safe Browsing Techniques</li><li>Hands-on Lab: Managing Browser Security and Privacy Settings</li><li>Video: Virtual Private Networks</li><li>Reading: Summary &amp; Highlights</li><li>Practice Quiz: Safe Browsing Practices</li><li>Graded Quiz: Safe Browsing Practices</li></ul><div><strong>Module 4: Final Project and Final Exam</strong></div><ul><li>Reading: Case Study: Data Breach Yahoo!</li><li>Final Exam: Beginners Guide to Cybersecurity</li><li>Reading: Final Project: About this Project</li><li>Hands-on Lab: Perform Final Project Tasks</li><li>Hands-on Lab: Final Project Submission and Evaluation</li><li><strong>Course Wrap Up</strong></li><li>Reading: Glossary: Introduction to Cybersecurity Essentials</li><li>Reading: Congrats and Next Steps</li><li>Reading: Thanks from the Course Team</li><li><strong>Course Rating and Feedback</strong></li><li>Reading</li><li><strong>Badge</strong></li><li>Reading: How to Claim Your Certificate</li><li>Reading: Badge</li></ul><div><br /></div><h1>What You'll Learn</h1><ul><li>Learn how to identify common cybersecurity threats, including malware, social engineering, breaches, and other attack vectors </li><li>Install software updates and patches, and apply authentication, encryption, and device-hardening techniques to protect sensitive information </li><li>Explore physical security, environmental safeguards, and access control measures used to prevent unauthorized access and ensure business continuity </li><li>Apply cybersecurity best practices using strong password creation and management strategies, and identify use cases for encryption</li></ul><div><br /></div><div><br /></div>
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Cybersecurity Fundamentals

This beginner-level cybersecurity course is perfect for individuals aiming to start a career in IT support, network security, or cybersecurity-related roles. 

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  <h1><strong>Why this topic is important</strong></h1><div>LangChain is quickly becoming an essential tool for developers and data scientists who work with large language models (LLMs). As LLMs continue to grow in popularity, so does the demand for ways to integrate them effectively into real-world applications. LangChain's modular, open-source framework allows users to harness the power of LLMs by connecting them to various data sources and customizing outputs for specific workflows. By mastering LangChain, you can streamline LLM development, reduce time spent on fine-tuning, and enhance the adaptability and relevance of AI models. Completing this project will equip you with practical skills to take full advantage of LangChain’s robust framework and optimize your AI-driven applications.  </div><div><br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this hands-on project, you’ll dive into the fundamentals of LangChain and explore how to leverage its key components to build smarter, more adaptable LLM applications. Here’s what you’ll learn and accomplish:</div><ul><li>Understand and implement LangChain's core concepts, including models, prompts, agents, and tools. You’ll learn how each component can be used to customize and streamline interactions with LLMs.</li><li>Apply LangChain’s module-based approach to integrate LLMs with external data sources, conduct dynamic testing, and experiment with different prompts and foundation models without significant code changes. This flexibility will allow you to adapt LLM applications efficiently for specific tasks.</li></ul><div><br />By the end of this project, you’ll learn the fundamentals of LangChain’s framework to enhance LLM integration, optimize model outputs, and create sophisticated applications tailored to meet diverse needs. Join us in this practical exploration of LangChain and unlock the full potential of large language models in your projects.</div><div><br /></div><h1>What You'll Need</h1><div>Before starting this project, ensure you have:</div><ul><li>A basic understanding of JavaScript programming.</li><li>Basic familiarity with Node.js package management</li><li>Access to a modern web browser like Chrome, Edge, Firefox, Internet Explorer, or Safari for optimal performance.</li></ul><div>Note that the IBM Skills Network Labs environment includes pre-installed with necessary tools to simplify your setup process.</div>
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Enhance LLM Powered Web Apps with LangChain.js

Learn hands-on with LangChainjs and implement its core concepts like models, prompts, conversational memory, tools and agents. This open-source framework is essential for developers and data scientists who work with large language models, it empowers development with flexible tools and abstractions for integration with data sources and workflows. This project is perfect for those looking to streamline Gen AI development and improve application relevance through practical example applications designed to enhance your skills in LLM interactions, document parsing, and agent-based querying.

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  <div>Evaluating large language models (LLMs) is crucial for ensuring they deliver accurate, reliable, and contextually appropriate outputs. By comparing models (LLaMA and Granite) in a Retrieval-Augmented Generation (RAG) setup, you’ll gain hands-on experience with the end-to-end evaluation process. You’ll also learn to leverage DeepEval, an LLM based framework, and traditional metrics (ROUGE, BERTScore) via Hugging Face’s Evaluate library. These skills will empower you to rigorously assess any LLM pipeline, identify strengths and weaknesses, and iterate toward better model and overall application performance.<br /><br /></div><h1>A Look at the Project Ahead</h1><div>In this guided project, you will:<br /><br /></div><ul><li><strong>Set Up a RAG Pipeline:</strong> Integrate LLaMA and Granite with vector stores to retrieve relevant context for narrative QA.</li><li><strong>Compute and Compare Metrics:</strong> Apply ROUGE and BERTScore to quantify model and retrieval quality, then interpret results.</li><li><strong>Implement Evaluation Workflows:</strong> Use DeepEval to orchestrate human-like judgments alongside automatic metrics.</li><li><strong>Explore Modularity:</strong> See how easily you can swap in new models, datasets, or metrics for future experiments.</li><li><strong>Visualize and Interpret Results: </strong>Plot computed scores in comprehensive graphs to compare model performance on different metrics.</li></ul><div>By the end of this project, you will be able to:<br /><br /></div><ul><li><strong>Design and deploy a retrieval-augmented generation pipeline</strong> using popular open-source LLMs.</li><li><strong>Build a flexible evaluation framework</strong> that combines automatic scoring with LLM-driven judgment, and analyze metric outputs to guide model selection.</li></ul><div><br /></div><h1>What You'll Need</h1><ul><li><strong>Basic Python proficiency:</strong> Comfortable with common data structures and writing simple scripts.</li><li><strong>Modern web browser:</strong> Latest version of Chrome, Edge, Firefox, or Safari for the optimal notebook experience.</li><li><strong>(Optional) Library knowledge: </strong>Minimal knowledge of Pandas DataFrame data structure and Matplotlib visualization. </li></ul>
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Use DeepEval and Traditional Metrics to assess RAG responses

Explore Large Language Model (LLM) evaluation techniques in this hands-on project that compares LLaMA and Granite for Retrieval-Augmented Generation (RAG) and textual analysis. Leverage HuggingFace's Evaluate library for computing traditional metrics and DeepEval, a modern, LLM-based framework for evaluating complex metrics. Through step-by-step guidance, you’ll set up RAG and metric evaluation pipelines, interpret the results, and discover how modular metrics adapt to any LLM use case.  Enroll now to gain essential data science expertise and confidently deploy robust RAG applications.

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  <div>With the growing demand for AI tools that make data analysis more intuitive, developers and analysts can now build intelligent systems that understand plain English and interact directly with structured data. This guided project explores how to create AI agents that translate natural language questions into SQL queries and allow conversational interaction with Pandas DataFrames using LangChain. Instead of manually writing queries or inspecting tables, you’ll construct dynamic AI systems that reason about your data, generate queries, and visualize results—giving you hands-on experience with agentic AI for data exploration.<br /><br /></div><h1>What You'll Learn</h1><div>By the end of this project, you will be able to:</div><ul><li>Build a natural language SQL agent: Learn to design an AI that converts English questions into SQL queries, executes them on a database, and returns structured answers.</li><li>Create a conversational DataFrame agent: Enable natural language interaction with Pandas DataFrames, including filtering, aggregation, and visualization using Python libraries.</li><li>Integrate LangChain with AI and data tools: Connect your agents to IBM Watsonx, MySQL, and Python’s data ecosystem to handle real-world datasets effectively.</li><li>Implement reasoning and prompt strategies: Structure prompts and AI reasoning to ensure accurate query generation, meaningful responses, and actionable insights.</li></ul><div><br /></div><h1>Who Should Enroll </h1><ul><li>Data analysts and engineers who want to automate SQL querying and data exploration using AI agents.</li><li>Python developers aiming to build intelligent tools for interacting with databases and in-memory datasets.</li><li>Technical learners looking to understand agentic AI workflows for structured data applications.</li></ul><div><br /></div><h1>Why Enroll</h1><div>This project bridges the gap between data analysis and AI automation, giving you the skills to build agents that understand your questions and work with your data directly. You’ll gain practical experience integrating LangChain with AI models, SQL databases, and Pandas DataFrames, plus the confidence to expand these agents into more complex analytical workflows. By the end, you won’t just understand natural language data agents—you’ll have fully functioning tools you built yourself.<br /><br /><br /></div><h1>What You'll Need </h1><div>To get the most out of this project, you should have a working knowledge of Python, Pandas, and basic SQL. Familiarity with AI models or LangChain is helpful but not required. All dependencies are pre-configured in the environment, and the project runs best on current versions of Chrome, Edge, Firefox, or Safari.</div>
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Introduction to Agentic AI Tools

Talk to your data instead of coding SQL queries. Imagine asking a database “Who spent the most last year?” and getting an instant answer. In this course, you’ll build two working AI agents that make this possible: one that turns plain English into SQL queries for real databases, and another that lets you chat with pandas DataFrames using LangChain. Along the way, you’ll gain hands-on practice with agentic tools, seeing how they reason about data, generate queries, and make exploration intuitive.

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  <div><em>AI Value Creators</em> delves into the transformative power of AI in today’s business landscape. This comprehensive guide, a collaboration between O’Reilly and IBM, explores how AI can solve real-world problems and drive significant value for businesses. Learn from case studies, practical examples and expert insights on leveraging AI to enhance your business operations. Whether you’re a seasoned AI professional or just starting, this book provides the tools and knowledge you need to become an AI Value Creator.</div>
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AI Value Creators

This course and book is a comprehensive guide, by senior leaders at IBM, that explores how AI can solve real-world problems and drive value for businesses.

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  <div>With the rise of AI-assisted coding tools and frameworks, developers now have the opportunity to go beyond autocomplete and build true agentic coding assistants that can reason, act, and collaborate on code. This guided project explores how to use LangChain and OpenAI’s GPT-5 mini model to create a code assistant that doesn’t just suggest snippets, but actively writes, debugs, and explains code through structured reasoning and tool use. Instead of static helpers that only complete text, you’ll construct a dynamic AI system that reasons step by step, calls external tools, and adapts its approach—giving you hands-on experience with the foundations of agentic AI.<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>Build an agentic coding assistant with LangChain + GPT-5</strong>: Learn how to design an AI that generates, debugs, and explains code while reasoning about problems systematically.</li><li><strong>Design and integrate custom tools in LangChain</strong>: Extend your assistant’s capabilities by creating Python tools for code analysis, debugging, or other domain-specific tasks.</li><li><strong>Implement prompt engineering and reasoning strategies</strong>: Understand how to structure prompts that guide GPT-5’s reasoning, making your assistant more reliable and effective.</li></ul><h1>Who Should Enroll</h1><ul><li><strong>Early-career AI/ML engineers</strong> looking to expand beyond model usage into building agentic systems that can reason and act in real-world coding tasks.</li><li><strong>Software developers</strong> who use tools like GitHub Copilot and want to understand how such assistants are built from scratch with LangChain and GPT models.</li><li><strong>Technical product managers</strong> aiming to gain practical insight into agentic AI workflows, giving them the knowledge to design and scope intelligent developer tools.</li></ul><h1>Why Enroll</h1><div>This project bridges the gap between AI theory and practical agent building, giving you the skills to create assistants that code with you instead of for you. You’ll learn how to integrate GPT-5 into LangChain, design custom tools, and manage multi-step reasoning workflows—skills that are central to the next generation of AI-powered software development. By the end, you won’t just understand agentic AI in theory—you’ll have a fully functioning code assistant you built yourself, plus the confidence to expand it into more advanced agents.</div><div><br /></div><h1>What You'll Need</h1><div>To get the most out of this project, you should have a working knowledge of Python programming and some familiarity with language models or APIs. Prior experience with LangChain is helpful but not required. All dependencies are pre-configured in the environment, and the project runs best on current versions of Chrome, Edge, Firefox, or Safari.</div>
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Create an Agentic Code Assistant with GPT-5

You probably use Cursor, why not learn how to build your own? Using LangChain and OpenAI's inexpensive GPT-5 mini model, you'll create an agentic code assistant that writes, debugs, and explains code. Step by step, this project will connect the pieces that make agents work—prompts, tools, and reasoning. By the end, you’ll be ready to apply what you've learned and start building agentic systems of your own.

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  <div><br />Curious about hardware and operating systems? This beginner-level course is designed to build foundational skills for careers in IT support, networking, cybersecurity, and software development.<br /><br /></div><div>You'll start by learning the basics of computing and its four core functions. Then, you'll explore internal hardware components like CPUs, motherboards, GPUs, memory, ports, and peripherals. The course also covers how emerging technologies—such as virtualization (including host/guest OS and hypervisors), parallel-processing GPUs, IoT devices, and VR/AR—are reshaping modern IT environments.<br /><br /></div><div>You'll gain hands-on experience with operating systems including Windows, macOS, Linux, and mobile platforms. You'll also practice setting up, configuring, acquiring, and troubleshooting workstations—just like a real IT professional. Specialized devices like wearables and e-readers are included to broaden your practical tech knowledge.<br /><br /></div><div>Interactive labs throughout the course reinforce your learning, and a final project lets you apply your skills in real-world scenarios.<br /><br /></div><div>This course is part of a broader series designed to help you prepare for the CompTIA Tech+ and A+ certification exams.<br /><br /><strong>Prerequisites  </strong> </div><div> </div><div>A basic understanding of Basic understanding of computers and their operating systems is recommended.    </div><div> </div><div><strong>Related Specialization  </strong> </div><div> </div><div>This course is part of the <a href="https://catalog.skills.network/learning_path/142">IBM Technical (IT) Support Professional Certificate</a>. If you’re keen to learn how to leverage GenAI in digital marketing, we recommend you enrol for the full specialization and work through the courses in order. Within a short time, you’ll have job-ready skills and practical experience on your resume that will boost your career!  </div><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to Computing Fundamentals</strong></div><ul><li>Introduction to Computing Fundamentals </li><li>Common Computing Devices and Platforms</li><li>Understanding How Computers Talk</li><li>Reading: Octal Notation Systems</li><li>An Introduction to Operating Systems </li><li>Getting Started with Microsoft Windows</li><li>Microsoft Windows Server Lab Environment</li><li>Hands-on Lab: Microsoft Windows Navigation Basics</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Introduction to Computing Fundamentals</li><li>Graded Quiz: Introduction to Computing Fundamentals</li></ul><div><strong>Module 2: Computing Devices and Peripherals</strong></div><ul><li>Identifying Hardware Components and Peripherals </li><li>Hands-On Lab: Exploring Installed Hardware and System Information</li><li>Input and Pointing Devices  </li><li>Hands-On Lab: Using Device Manager for the Keyboard and Pointing Devices</li><li>Hard Drives</li><li>Optical Drives and External Storage</li><li>Hands-On Lab: Using Disk Management for Managing Disk Drives</li><li>Display Devices</li><li>Reading: Introduction to E-Readers</li><li>Printers and Scanners</li><li>Audio and Visual Devices</li><li>Introduction to IoT and Wearable Devices</li><li>Activity: Identifying Hardware Devices</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Computing Devices and Peripherals</li><li>Graded Quiz: Computing Devices and Peripherals</li></ul><div><strong>Module 3: Interfaces and Connectors</strong></div><ul><li>Identifying Ports and Connectors</li><li>Identifying Graphic Devices </li><li>GPU and Its Applications</li><li>Hands-on Lab: Locating and Analyzing GPU Specifications in Windows</li><li>Identifying Audio Connectors</li><li>Introduction to Virtual Reality and Augmented Reality</li><li>Wired and Wireless Connections</li><li>Peripheral and Printer Connections</li><li>Hands-On Lab: Installing a Local Printer</li><li>Installation Types</li><li>Activity: Identifying Devices and Connectors</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Interfaces and Connectors</li><li>Graded Quiz: Interfaces and Connectors</li></ul><div><strong>Module 4: Internal Computer Components</strong></div><ul><li>Internal Computer Components</li><li>Data Processing and Storage</li><li>Internal Storage</li><li>Display Cards and Sound Cards</li><li>Hands-On Lab: Using Device Manager for Monitor and Display Adapters</li><li>Network Interface Cards</li><li>Hands-On Lab: Using Device Manager for Network Adapters and Disk Drives</li><li>Cooling and Fans</li><li>Activity: Identifying Internal Computer Components</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Internal Computer Components</li><li>Graded Quiz: Internal Computer Components</li></ul><div><strong><br />Module 5: Workstation Evaluation, Setup, and Troubleshooting<br /></strong><br /></div><ul><li>Installing Microsoft Windows 10 Operating System</li><li>Microsoft Windows 10 Operating System Configuration</li><li>Microsoft Windows 10 Management and Performance</li><li>Managing Files and Folders</li><li>Activity: Navigating Files and Folders (Walk through simulation)</li><li>Lab: Using File Explorer to Manage Files and Folders</li><li>Practice Quiz: Microsoft Windows Workstation Setup and Management</li><li>Evaluating Computing Performance and Storage</li><li>Workstation Evaluation and Setup</li><li>Instructional Lab: Evaluating Computer Systems</li><li>Activity: Setting Up Workstations and Changing Settings</li><li>Screen Capture and Tools</li><li>Introduction to Troubleshooting</li><li>Advanced Microsoft Windows 10 Management and Utilities</li><li>Hands-On Lab: Using System Settings to Troubleshoot Internet Connection Issues</li><li>Introduction to Business Continuity Principles</li><li>Summary &amp; Highlights</li><li>Practice Quiz:  Introduction to Workstation Evaluation, Management, and Troubleshooting</li><li>Graded Quiz: Workstation Evaluation, Setup, and Troubleshooting</li></ul><div><strong><br />Module 6: Final Project and Final Quiz<br /></strong><br /></div><ul><li>Glossary for Computing Fundamentals</li><li>Final Project</li><li>Final Project Submission and Evaluation</li><li>Graded Quiz: Final Quiz</li></ul><div><strong>Course Wrap Up</strong></div><ul><li>Congrats and Next Steps</li><li>Optional: IBM Technical Support Professional Certificate</li><li>Optional: Professional Certificate: Overview of Courses</li><li>Thanks from the Course Team</li></ul><div><strong>Certificate and Badge</strong></div><ul><li>How to Claim Your Certificate</li><li>Badge</li></ul><div><strong>Bonus Module - Exploring Additional Desktop and Mobile Operating Systems</strong></div><ul><li>Exploring Linux Operating System Essentials</li><li>Hands-on Lab: Getting Started with Linux Terminal</li><li>Getting Started with macOS</li><li>Networking and Performance macOS Essentials</li><li>ChromeOS Operating System Essentials</li><li>Introduction to Mobile Devices - iOS</li><li>Introduction to Mobile Devices - Android</li><li>An Overview of Virtualization</li><li>Reading: Guest and Host Operating Systems</li></ul><div><br /></div><h1>What You'll Learn</h1><ul><li>Demonstrate an understanding of operating systems fundamentals. </li><li>Recognize desktop and laptop hardware components and devices. </li><li>Identify commonly used interfaces and peripherals. </li><li>Explain basic workstation setup, locate operating system settings, and identify good troubleshooting practices </li><li>Design secure integration approaches for wearable and smart technologies by applying robust device management practices and cybersecurity frameworks </li></ul><div><br /></div><h1>Recommended Skills Before Taking this Course</h1><div>Basic computer literacy. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.</div>
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Hardware and Operating Systems Fundamentals

Gain job-ready fundamental IT skills related to computer hardware and operating systems. Develop the required vocabulary to become conversant in peripherals, connectors, internal computer components, workstation setup, and troubleshooting.

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  <div>Curious about technical support and IT but not sure where to start? Explore IT fundamentals and gain job-ready skills in this introductory course. These beginner-friendly materials provide you with the basics you need to jump-start your career in IT or help you converse knowledgeably with your development team peers regarding software, programming, and databases. </div><div>  </div><div>Topics you investigate include the operating system running on your mobile phone to cloud computing technology underpinning enterprise software applications. You'll also learn about databases which fuel the flow of information in software, web browsers, software development processes, programming languages, and fundamental programming concepts. </div><div>  </div><div>You'll explore advanced topics like artificial intelligence (AI), generative AI, chatbots, and modern analytics tools. You'll also delve into strategies for monetizing data and understand how organizations are using data as a strategic asset to drive innovation and growth.<br /><br /></div><div>Along the way, you'll gain practical experience through hands-on labs. In the final project, you'll apply your knowledge in a way that integrates your skills in software, programming, databases, and emerging technologies.<br />  </div><div>Enroll today to build the core IT skills you need to launch your career—and take the first step toward a future in tech!<strong> </strong><br /><br /></div><h1>Course Syllabus</h1><div><strong><br />Module 0: Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: Course Overview</li><li>Reading: How to Make the Most from This Course</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: Grading Scheme  </li></ul><div><strong>Module 1: Computing Platforms and Software Applications</strong> </div><ul><li>Computing Platforms and Compatibility </li><li>Commercial and Open Source Software </li><li>Software Licenses </li><li>Understanding Software Licenses, DRM, and EULAs </li><li>Software Installation Management </li><li>Software Versions </li><li>Using Your Windows Lab Workspace </li><li>Microsoft Windows Server Lab Environment</li><li>Hands-on Lab: Install, Update, and Remove Applications </li><li>Mobile Applications and Stores </li><li>Productivity, Business, and Collaboration Software </li><li>Types of File Formats </li><li>Activity: Recognizing File Formats </li><li>Summary and Highlights</li><li>Practice Quiz: Computing Platforms and Software Applications</li><li>Graded Quiz: Computing Platforms and Software Applications </li></ul><div><strong>Module 2: Fundamentals of Web Browsers, Cloud Computing, and AI</strong></div><ul><li>Common Web Browsers </li><li>Browser Installs and Updates </li><li>Browser Plug-ins and Extensions </li><li>Basic Browser Security Settings </li><li>Browser Security Certificates and Pop-Ups Settings </li><li>Private Browsing and Client-Side Scripting Settings </li><li>Activity: Managing Browser Plug-ins and Extensions </li><li>Hands-on Lab: Browser Pop-Ups, Redirects, and Extensions </li><li>Introduction to Cloud Computing and Cloud Deployment, and Service Models </li><li>Understanding the Differences Between Community Cloud, DaaS, and VDI </li><li>Application Architecture and Delivery Methods </li><li>Software Development Life Cycle </li><li>What Is a Chatbot?</li><li>AI Chatbots and Smart Assistants </li><li>Introduction to Generative AI </li><li>Machine Learning </li><li>Reading: AI Predictions and Suggestions</li><li>Summary and Highlights</li><li>Practice Quiz: Fundamentals of Web Browsers, Cloud Computing, and AI</li><li>Graded Quiz: Fundamentals of Web Browsers, Cloud Computing, and AI</li></ul><div><strong><br />Module 3: Basics of Programming</strong> </div><ul><li>Interpreted and Compiled Programming Languages </li><li>Comparing Compiled and Interpreted Programming Languages </li><li>Query and Assembly Programming Languages </li><li>Hands-on Lab: Hello World in 11 Programming Languages </li><li>Query and Assembly Programming Languages</li><li>Scripting Languages and Use Cases: Windows and Linux </li><li>Hands-on Lab: Basic Script Within Windows </li><li>Understanding Code Organization Methods </li><li>Branching and Looping Programming Logic </li><li>Activity: Programming Logic and Organizational Methods </li><li>Introduction to Programming Concepts: Part 1  </li><li>Introduction to Programming Concepts: Part 2</li><li>Hands-on Lab: Programming Fundamentals with Python </li><li>Summary and Highlights</li><li>Practice Quiz: Basics of Programming</li><li>Graded Quiz: Basics of Programming </li></ul><div><strong><br />Module 4: Database Fundamentals</strong> </div><ul><li>Types of Data, Sources, and Uses </li><li>Database Fundamentals and Constructs </li><li>Database Roles and Permissions </li><li>Database Types </li><li>Interfacing with Databases </li><li>Hands-on Lab: Basic Database Operations </li><li>Database Management </li><li>Backing Up Databases </li><li>Hands-on Lab: Back-Up and Restore a Database</li><li>Big Data and Applications </li><li>Reading: Modern Analytics Applications and Data Monetization Strategies</li><li>Summary and Highlights</li><li>Practice Quiz: Database Fundamentals </li><li>Graded Quiz: Database Fundamentals </li></ul><div><strong><br />Module 5: Final Project and Final Quiz</strong> </div><ul><li>Optional Hands-on Lab: Exploring Libre Office</li><li>Final Project Overview and Scenario</li><li>Hands-on Lab: Libre Office Calc Final Project</li><li>Graded Final Quiz</li></ul><div><strong><br />Module 6: Course Wrap-Up</strong>  </div><ul><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 /><strong>What you will learn:</strong></div><ul><li>Classify, install, and administer software applications and tools, including those used on mobile operating systems.</li><li>Apply foundational concepts in cloud computing, web browsers, and software development, including cloud services, browser technologies, and software development models, techniques, and best practices.</li><li>Explain and utilize core database concepts using the principles of database management and perform basic operations to interface with and maintain databases.</li><li>Recognize the role of artificial intelligence in modern software ecosystems, and explain how AI enables intelligent tools such as chatbots, virtual assistants, and generative applications to solve real-world problems.</li></ul><h1>Recommended Skills Before Taking this Course</h1><div>Basic computer literacy</div>
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Software, Programming, and Databases Fundamentals

Learn the basics of computer science and information technology in this comprehensive course. Designed for beginners, it covers technical support, application deployment, and software development. You'll explore cloud computing, web browsers, and delve into artificial intelligence, building a strong foundation. Start your tech journey today with practical skills and real-world applications.

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  <div>A company relies on its networking and storage infrastructure to compete in today’s global business world. To meet this demand organizations, require knowledgeable technical support professionals to maintain and update these networks; as well as enable secure, accessible, and efficient data and file storage, minimizing downtime and enhancing productivity. </div><div> </div><div>If you are new to networks and storage, this course is for you. You may want to develop the skills to diagnose and repair basic networking and storage problems or gain a working vocabulary to understand the needs of your IT colleagues supporting the company in these endeavors.  </div><div>You’ll learn the fundamentals of networking, including network types, topology models and standards, and the hardware for setting up a network with both wired and wireless connections. You’ll configure a network and learn the required protocols and ports to support this infrastructure. </div><div> </div><div>With regards to storage, you’ll compare and contrast different types of storage devices as well as storage area networks (SAN) compared to network-attached storage (NAS). You investigate the types of storage gateways to meet the needs of your subscribers and identify common network storage and network sharing options such as local, hosted, and cloud. </div><div> </div><div>This course provides multiple hands-on, real-world activities to demonstrate your newfound expertise, including setting up a small office/home office (SOHO) network and exploring the purposes of different cables used for setup. Networking and Storage Fundamentals is ideal for kickstarting roles including IT support or network technician or building your base knowledge needed for system administration. <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Networking Fundamentals </strong></div><ul><li>Video: Types and Topologies</li><li>Video: From Wired to Wireless Internet Connections</li><li>Video: Cables</li><li>Reading: New USB Technologies</li><li>Hands-on Activity: Exploring Cable Types</li><li>Video: Wireless Connections</li><li>Video: Introduction to Wireless Technologies</li><li>Video: Advantages and Disadvantages of Network Types</li><li>Hands-on Activity: Identifying Wireless Network Technologies</li><li>Reading: Summary &amp; Highlights  </li><li>Quiz: Practice Quiz  </li><li>Quiz: Graded Quiz</li></ul><div><strong>Module 2: Networking Fundamentals Part II</strong></div><ul><li>Video: Networking Hardware Devices</li><li>Reading: Near Field Communication</li><li>Hands-on Activity: Identifying Networking Hardware Scenarios</li><li>Video: Packets, IP Addressing, DNS, DHCP, and NAT</li><li>Video: Microsoft Windows Server Lab Environment</li><li>Hands-on Lab: View and Clear DNS Cache</li><li>Video: Models, Standards, Protocols, and Ports</li><li>Video: Wireless Networks and Standards</li><li>Video: Protocol Table</li><li>Hands-on Lab: Exploring Networking Ports and Protocols</li><li>(Optional) Hands-on Lab: Ports and Protocols in Windows Defender</li><li>Reading: Summary &amp; Highlights</li><li>Quiz: Practice Quiz  </li><li>Quiz: Graded Quiz</li></ul><div><strong>Module 3: Configuring and Troubleshooting Networks</strong></div><ul><li>Video: Configuring a Wired SOHO Network</li><li>Hands-on Activity: Finding Your Router's IP Address</li><li>Video: Configuring a (Wireless) SOHO network</li><li>Hands-on Activity: Setting Up a SOHO Network</li><li>Video: Mobile Configurations</li><li>Video: Network Settings in Windows</li><li>Hands-on Lab: Exploring Windows Network Settings</li><li>Hands-on Lab: Configuring Network Settings in Windows</li><li>Video: Troubleshooting Network Connectivity</li><li>Video: Networking Troubleshooting with Command Line Utilities</li><li>Hands-on Lab: Command Line Utilities</li><li>Reading: Summary &amp; Highlights</li><li>Quiz: Practice Quiz  </li><li>Quiz: Graded Quiz</li></ul><div><strong><br />Module 4: Storage Types and Network Sharing </strong></div><ul><li>Video: Types of Local Storage Devices</li><li>Video: Local Storage with Multiple Drives</li><li>Video: Troubleshooting Storage Issues</li><li>Hands-on Lab: Disk Status and Repair Tools</li><li>Video: Types of Hosted Storage and Sharing</li><li>Hands-on Activity: Identifying Storage Types</li><li>Video: Network Storage Types</li><li>Reading: NVMe Storage Technologies </li><li>Video: Cloud-based Storage Devices</li><li>Hands-on Lab: Exploring Cloud Storage Options</li><li>Reading: Summary &amp; Highlights</li><li>Quiz: Practice Quiz</li><li> Quiz: Graded Quiz</li></ul><div><strong><br />Module 5: Final Project and Final Exam</strong></div><ul><li>Final Project Overview</li><li>Hands-on Lab: Navigating the Draw.io Platform</li><li>Final Project: Using Draw.io to Diagram a Home Network</li><li>Glossary</li><li>Graded Quiz: Final Exam</li></ul><div><strong>Course Wrap-up</strong></div><ul><li>Congrats &amp; Next Steps</li><li>Optional: IBM Technical Support Professional Certificate</li><li>Optional: Professional Certificate: Overview of Courses</li><li>Thanks from the Course Team</li></ul><div><strong>Feedback</strong></div><ul><li>Feedback</li></ul><div><strong>Certificate and Badge</strong></div><ul><li>How to Claim Your Certificate, Incomplete</li><li>Badge</li></ul><h1>What You'll Learn</h1><ul><li>Identify wired and wireless network types, explain physical and logical topology, differentiate network cable types and what each is used for. </li><li>List common network devices. Discover what packets are and how IP addresses work, and explain what protocols are and why models are necessary.</li><li>Determine how to set up and encrypt networks and mobile devices. Diagnose connectivity issues and utilize the command prompt and Windows Settings.</li><li>List network drive types, explain RAM, ROM, and RAID, and troubleshoot storage issues. Explain STaaS, and define file, block, and object storage. </li></ul><h1>Recommended Skills Before Taking this Course</h1><div>This course is suitable for beginners. No prior IT skills are required other than basic computer literacy to take an online course. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.</div>
</div>


Networking and Storage Fundamentals

Gain the job-ready related to computer networking and storage to kickstart your IT career. Develop the vocabulary to become conversant in wired and wireless networks, their hardware, standards, and models. Also, learn about storage infrastructure.  

<div>Vector databases are powering innovative AI across industries, driving recommendation engines, semantic search, content generation, machine learning workflows, and more. As investment surges in GenAI and intelligent automation, the demand for professionals who can build, manage, and optimize vector database systems is growing fast. &nbsp;<br><br></div><div>This IBM Vector Database Specialization is ideal for application developers, data scientists, and AI professionals who want to build career-advancing vector database skills that stand out.&nbsp;</div><div>&nbsp;</div><div><strong>You will:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Build in-demand vector database skills used in real-world applications like generative AI, semantic search, and recommendation engines&nbsp;</li><li>Design and configure vector database environments with tools such as Chroma DB, PostgreSQL, MongoDB, and Cassandra—leveraging embeddings, collections, and advanced query methods&nbsp;</li><li>Apply vector analysis techniques like cosine similarity to extract meaning from high-dimensional data&nbsp;</li><li>Develop recommendation system applications powered by vector databases for intelligent, personalized user experiences&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>In this hands-on program, you’ll gain real-world experience working with leading technologies including Chroma DB, MongoDB, PostgreSQL, and Cassandra. You’ll learn how to create embeddings, organize data into collections, and run similarity searches that compare query vectors to stored documents—all essential techniques for powering next-gen AI applications.&nbsp;</div><div>&nbsp;</div><div>You’ll go beyond theory and put your skills to work through interactive labs and a capstone project that simulates a real business challenge. Using tools like LangChain and Retrieval-Augmented Generation (RAG), you’ll build a functional solution that showcases your ability to apply vector databases in a real-world AI context.&nbsp;</div><div>&nbsp;</div><div>This Specialization builds valuable skills that will make your resume stand out. Plus, it gives you practical project work you can talk about in interviews and with your peers. Whether you're entering the AI field or deepening your expertise, this is your opportunity to future-proof your career with skills that businesses are actively hiring for.&nbsp;</div><div>&nbsp;</div><div>Start learning today—and become the vector database expert AI teams need.&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>This program is ideal for machine learning engineers, data scientists, GenAI developers, database administrators, and early-career geospatial scientists. &nbsp;</div><div>It is recommended that learners are familiar with relational database (SQL), NoSQL databases and Node.JS.&nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for professionals with vector database skills is on a high growth trajectory. Although specific titles vary, roles that work vector databases—such as Database Engineer (specializing in NoSQL/vector search), Machine Learning Engineer, or AI/ML Infrastructure Engineer—typically command strong salaries. So, with the right vector database skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>According to Glassdoor, entry-level professionals working with vector databases (within AI/ML roles) are most likely to fall in the $110K–$140K salary range, with total compensation sometimes reaching the mid-$150K to low$180K level, especially in top firms or major tech markets.&nbsp;</li><li>Founding engineer or senior technical roles in vector database startups range from US $140K to $170K according to Reddit&nbsp;</li></ul>

Vector Databases Specialization 

 Build job-ready vector database skills employers are looking for in only 1 month, plus gain valuable practical experience.  

<div>The role of a Program Manager is highly rewarding, and Glassdoor reports an average U.S. salary of $120,000. Whether you’re new to program management or ready to formalize your experience with certification, this Professional Certificate will equip you with the job-ready skills you need to build a successful career. Plus, it’s ideal for <strong>project managers, product owners, scrum masters, and business leaders</strong> looking to drive program success. <br><br><strong>You will:</strong>&nbsp;</div><ul><li>Learn the latest tools, frameworks, and terminology used by today’s Program Managers.&nbsp;</li><li>Build the skills to successfully plan, track, and manage complex programs—while navigating real-world challenges across the program lifecycle.&nbsp;</li><li>Use Agile practices like adaptive planning, iterative development, and continuous improvement to deliver value and enhance customer outcomes.&nbsp;</li><li>Apply what you’ve learned to hands-on projects and build a portfolio that showcases your expertise—while preparing for the PMI-PgMP® certification exam.&nbsp;</li><li>Enhance your program manager productivity with Gen AI tools...&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>In this hands-on Professional Certificate program, you’ll gain a comprehensive understanding of the program management lifecycle—from planning and execution to governance. You’ll dive into the strategic elements of portfolio planning, benefits realization, and risk management, learning how to align programs with broader business objectives.&nbsp;</div><div>&nbsp;</div><div>You will also explore Agile and Scrum methodologies, equipping you with the tools to apply adaptive planning, iterative development, and performance measurement to improve outcomes and deliver lasting value. Plus, you’ll also build critical skills in stakeholder engagement, learning how to assess stakeholder needs, create compelling business cases, and develop benefits plans and program roadmaps that support long-term success.&nbsp;</div><div>&nbsp;</div><div>Additionally, the program includes preparation for the PMI-PgMP® certification exam, complete with a timed mock exam. &nbsp;</div><div>&nbsp;</div><div>Throughout, you’ll apply what you’ve learned in practical projects—building a portfolio you can confidently present in interviews or on the job. Examples include:&nbsp;</div><ul><li>Create a full <strong>program management plan</strong> aligned with organizational goals&nbsp;</li><li>Integrate program components across initiatives for maximum impact&nbsp;</li><li>Apply <strong>risk mitigation strategies</strong> to manage uncertainty&nbsp;</li><li>Build <strong>business cases and benefits plans</strong> that support decision-making&nbsp;</li><li>Design a <strong>program roadmap</strong> you can showcase in interviews &nbsp;</li></ul><div>&nbsp;</div><div>If you’re keen to build the job-ready skills and practical experience employers look for in a successful Program Manager, enroll today!&nbsp;<br><br><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>The demand for Program Managers is on a high growth trajectory. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>According to Indeed, the average base salary for a Program Manager is about $88,600 per year (± $50K–$158K) based on over 17,000 reported salaries.&nbsp;</li><li>Salary.com reports significantly higher figures: the national average stands at $152,650 annually (range $131K–$175K), with variations by experience level—from $143K at entry to $151K+ at expert level.&nbsp;</li><li>The World Economic Forum identifies project management disciplines (including program managers) among the top growth careers—projected demand for 16 million new professionals in the next decade, with current roles exceeding 40 million globally&nbsp;</li></ul><div><br><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>

IBM Program Manager Professional Certificate 

 Build the job-ready skills you need to launch your Program Manager career in only 2 months. Gain hands-on experience recruiters look for and set yourself up for PMI-PgMP® certification success. No prior experience required! 

<div><strong>“Generative AI is redefining how educators design, deliver, and personalize learning—70% of institutions are already exploring its impact.” — HolonIQ, 2024 </strong>&nbsp;</div><div>&nbsp;</div><div>Do you want to get ahead an the GenAI curve?&nbsp;</div><div>&nbsp;</div><div>Designed specifically for teachers, instructional designers, and other educators, this hands-on program will teach you how to use generative AI (GenAI) to to create engaging content, personalize learning experiences, streamline your workflow, and better support diverse learner needs. In this 3-week specialization, you’ll discover how GenAI can transform your ability to educate with impact.&nbsp;</div><div>&nbsp;</div><div><strong>You will learn how to:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Write effective prompts to generate engaging lesson plans, assessments, and learning materials.&nbsp;</li><li>Use gen AI tools like ChatGPT, Synthesia, and DALL·E to create engaging educational content.&nbsp;</li><li>Personalize and adapt learning experiences using AI-generated insights.&nbsp;</li><li>Design inclusive content that meets diverse learner needs, including accessibility and accommodations.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program Overview</strong>&nbsp;</div><div>&nbsp;</div><div>During this program, you'll explore the capabilities of GenAI across education and learn to use tools such as IBM watsonx, ChatGPT, Spellbook, Dust, Synthesia, and Khanmigo to enhance curriculum design, automate routine tasks, and improve student outcomes.&nbsp;</div><div>&nbsp;</div><div>Through interactive labs and real-world projects, you’ll practice:&nbsp;</div><div>&nbsp;</div><ul><li>Generating multimedia content with text, images, and video&nbsp;</li></ul><div>&nbsp;</div><ul><li>Applying advanced prompt engineering techniques (e.g., chain-of-thought, tree-of-thought, and interview patterns)&nbsp;</li></ul><div>&nbsp;</div><ul><li>Developing adaptive learning materials&nbsp;</li></ul><div>&nbsp;</div><ul><li>Evaluating and selecting AI tools for different teaching scenarios&nbsp;</li></ul><div>&nbsp;</div><ul><li>You’ll also explore ethical considerations and best practices for responsible AI use in educational settings.&nbsp;</li></ul><div>&nbsp;</div><div>&nbsp;</div><div>Throughout, you’ll learn directly from industry experts as they guide you through key concepts, tools, and use cases. &nbsp;</div><div>&nbsp;</div><div>If you work in education or training and are ready to harness the power of GenAI to educate with greater impact and advance your career, enroll today!&nbsp;</div><div>&nbsp;</div><div><strong>Prerequisites</strong>&nbsp;</div><div>&nbsp;</div><div>No prior experience with AI is required, however, to get the most from this program, you do need basic computer literacy. This program is ideal for professionals in education or training who are looking to explore how using AI can transform the way they work. &nbsp;</div><div>&nbsp;</div><div><strong>Your Job Outlook</strong>&nbsp;</div><div>&nbsp;</div><div>Educators who understand and use GenAI are in high demand as institutions rapidly adopt these tools to modernize learning:&nbsp;</div><ol><li><strong>77% of educators</strong> believe AI will have a significant impact on education in the next 5 years. — <em>Education Week, 2024</em>&nbsp;</li><li><strong>Higher ed AI job listings</strong> have grown over 2X in the past year, driven by demand for instructional designers with AI fluency. — <em>Lightcast, 2024</em>&nbsp;</li><li><strong>52% of learning leaders</strong> plan to invest in GenAI tools for workforce development and training. — <em>LinkedIn Learning Report, 2024</em>&nbsp;</li><li><strong>AI upskilling</strong> is now one of the top three skills requested in education job postings. — <em>World Economic Forum, 2024</em>&nbsp;</li></ol>

GenAI: Empowering Education and Training Specialization 

Learn how to use GenAI tools to create engaging learning content faster and drive excellent learning experiences in just 3 weeks! No AI or programming experience required. 

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  <div>AI agents are transforming how we plan trips by automating everything from destination research to day-by-day itineraries. But to go beyond basic travel chatbots, you need to know how to structure tasks, coordinate agents, and ensure your outputs are reliable and well-organized. This guided project explores <strong>CrewAI</strong>, a robust framework for multi-agent orchestration, and shows you how to build a real-world, structured AI workflow for personalized travel planning.</div><div><br />Through hands-on implementation, you’ll create a complete <strong>AI Travel Planner</strong>. Unlike a single LLM prompt, this system coordinates multiple agents to simulate realistic trip planning, researching destinations, finding must-see attractions, selecting food experiences, suggesting transport and passes, and organizing everything into a tailored itinerary, while adapting to constraints like interests, budget, and travel dates.</div><div><br />You’ll use <strong>Serper web search</strong>, structured itinerary models, and CrewAI tooling to define agents and tasks, then run them in a coordinated workflow. The project demonstrates how structured models enforce consistency, how to integrate live search for up-to-date results, and how CrewAI orchestrates collaboration between agents for a polished output. By the end, you’ll have built a functional AI travel planning workflow that can be adapted for any destination.</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>Build a fully functional <strong>CrewAI</strong> workflow to automate multi-agent trip planning.</li><li>Design structured itinerary models to ensure consistent daily plans and activity details.</li><li>Define agents and tasks in Python, integrating them into a collaborative system.</li><li>Leverage <strong>SerperDevTool</strong> for real-time web search to fetch current and relevant travel info.</li><li>Coordinate reasoning between AI agents to produce dynamic, user-specific itineraries.</li></ul><div><br /></div><h1><strong>Who Should Enroll</strong></h1><div>This project is ideal for:</div><ul><li>Developers exploring <strong>agentic AI systems</strong> for real-world planning use cases.</li><li>AI/ML practitioners interested in structured outputs and multi-agent workflows.</li><li>Software engineers looking to integrate <strong>live search tools</strong> into AI systems.</li><li>Technical professionals wanting to build <strong>customizable, domain-specific CrewAI workflows</strong>.</li></ul><h1><br /><strong>What You'll Need</strong></h1><div>Before starting, you should have:</div><ul><li>A basic understanding of <strong>Python</strong>.</li><li>Familiarity with foundational AI/LLM concepts (prompts, agents, structured data).</li><li>A modern web browser such as Chrome, Firefox, Safari, or Edge.</li></ul>
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CrewAI for Beginners: Build an AI Travel Itinerary

Build an AI-powered travel planner using CrewAI and Serper. Learn how to use agents, tasks, and workflows to create structured itineraries. This hands-on project introduces starters to CrewAI concepts by guiding you through building a complete travel itinerary system. You’ll define itinerary models, design research and planning agents, and run workflows that transform trip details into personalized, day-by-day plans. Perfect for beginners eager to explore multi-agent AI, task orchestration, and real-world applications.

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  <div>AI agents are reshaping how we automate everyday workflows, from customer support to supply chain planning. But to move beyond simple prompts and chatbots, you need to know how to structure tasks, coordinate agents, and deliver reliable outputs. This guided project dives into <strong>CrewAI</strong>, a powerful framework for multi-agent orchestration, and teaches you how to build real-world, structured AI workflows using <strong>Pydantic</strong>, <strong>YAML</strong>, and <strong>CrewBase</strong>.</div><div><br />Through hands-on implementation, you'll build a complete <strong>Meal and Grocery Planner AI system.</strong> Unlike single-agent LLM prompts, this system coordinates multiple agents to simulate realistic planning tasks—researching recipes, generating shopping lists, offering budget tips, and managing leftovers—all while respecting constraints like dietary needs and cost limits.<br /><br />You'll use <strong>IBM Granite LLM</strong>, <strong>Serper web search</strong>, and CrewAI tooling to define agents, tasks, and structured outputs in both code and YAML. The project showcases how Pydantic models enforce consistent formats, how YAML can declaratively define agent behavior, and how CrewBase integrates everything for production-quality orchestration. By the end of this project, you’ll have built a real, working AI workflow with applicability in any domain requiring structured task management.<br /><br /></div><h1><strong>What You'll Learn</strong></h1><div>After completing this project, you will be able to:</div><ul><li>Build a fully functional CrewAI workflow to automate a multi-agent task</li><li>Use <strong>Pydantic</strong> models to enforce structured outputs from LLMs</li><li>Define agents and tasks using <strong>YAML</strong>, and integrate them using <strong>CrewBase</strong></li><li>Leverage <strong>LLMs like IBM Granite</strong> and <strong>web tools like Serper</strong> for real-time data-driven decision making</li><li>Coordinate reasoning across multiple AI agents to simulate planning, execution, and summarization</li></ul><div><br /></div><h1><strong>Who Should Enroll</strong></h1><div>This project is perfect for:</div><ul><li>Developers exploring <strong>agentic AI systems</strong> and real-world orchestration use cases</li><li>AI/ML practitioners looking to implement <strong>structured outputs and task delegation</strong></li><li>Software engineers who want to learn YAML-based configuration in AI workflows with CrewAI</li><li>Technical professionals interested in <strong>multi-agent collaboration</strong> using LLMs</li></ul><div><br /></div><h1>What You'll Need</h1><div>Before beginning this guided project, you should have:</div><ul><li>A basic understanding of Python</li><li>Familiarity with foundational AI/LLM concepts (prompting, tasks, structured data)</li><li>A modern web browser such as Chrome, Firefox, Safari, or Edge</li></ul>
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Hands-On Multi-Agent AI: Meal & Grocery Planner with CrewAI

Master CrewAI-based multi-agent workflows with Pydantic, YAML-defined agents, and CrewBase. Learn hands-on AI task orchestration through a real-world scenario involving recipe planning, shopping list generation, and budget advising. Leverage IBM Granite LLM and the Serper web tool, showcasing agent coordination, structured data modeling, and YAML configuration. Explore how CrewAI workflows bridge LLMs with real-world planning tasks, automation, and multi-agent collaboration.

<div>Want to kickstart a career in the high-demand world of data architecture? This IBM Professional Certificate program gives you the technical foundation, job-ready skills, and hands-on experience employers look for in today’s data professionals.&nbsp;<br><br></div><div><strong>You will learn to:</strong>&nbsp;</div><div>&nbsp;</div><ul><li>Build the job-ready skillset employers want in a data architect, including database design, data engineering, and modern data architecture&nbsp;</li><li>Gain hands-on experience with tools such as Airflow, Kafka, Spark, and Hadoop to build ETL workflows and power big data analytics&nbsp;</li><li>Learn to manage complex data systems, from relational and NoSQL databases to pipelines and data warehouses&nbsp;</li><li>Ensure data integrity and trust by applying privacy, governance, and compliance best practices used in real-world environments&nbsp;</li></ul><div>&nbsp;</div><div><strong>Program overview</strong>&nbsp;</div><div>&nbsp;</div><div>Data architects play a critical role in shaping how organizations collect, store, and use data. They design and manage complex systems, support analytics, ensure regulatory compliance, and help drive digital transformation.&nbsp;</div><div>&nbsp;</div><div>In this program, you’ll gain essential knowledge in <strong>data modeling, database design, and enterprise data management</strong>, along with valuable practical experience using <strong>SQL, relational databases (RDBMS), Linux, shell scripting</strong>, and <strong>database administration</strong>.&nbsp;</div><div>&nbsp;</div><div>You’ll work with tools used across today’s data teams, including <strong>Apache Airflow, Kafka, Spark, and Hadoop</strong>. You’ll learn to build ETL and streaming data pipelines, manage relational and NoSQL databases, and process large-scale data sets for real-world analytics. Plus, you’ll explore critical concepts in <strong>data integration, security, governance, privacy</strong>, and <strong>compliance</strong>, giving you the confidence to navigate complex data environments.&nbsp;</div><div>&nbsp;</div><div>Throughout the program, you’ll complete hands-on labs and real-world inspired projects, including:&nbsp;</div><ul><li>Visualize data insights using Excel, IBM Cognos Analytics, and Tableau&nbsp;</li><li>Process structured data using Spark SQL and DataFrames&nbsp;</li><li>Design and populate a data warehouse with advanced query techniques such as CUBE, ROLLUP, and materialized views&nbsp;</li><li>Build ETL pipelines with Apache Airflow and stream data with Kafka&nbsp;</li><li>Create ER diagrams and design a scalable Enterprise Data Architecture for a Hotel Management System&nbsp;</li><li>Complete a capstone project that showcases your ability to analyze, modernize, and integrate enterprise data systems&nbsp;</li></ul><div>&nbsp;</div><div>By the end of the program, you’ll have a job-ready portfolio that showcases your skills to potential employers, as well as a <strong>Professional Certificate from IBM</strong> and an <strong>IBM digital badge</strong>—credentials that can set you apart. &nbsp;</div><div>&nbsp;</div><div><strong>Launch your career as a data architect with in-demand data engineering, database management, and data architecture skills… enroll today.</strong>&nbsp;<br><br></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 data architecture specialists is on a high-growth trajectory. So, with the right skills, you have a lot to look forward to in your career.&nbsp;</div><div>&nbsp;</div><ul><li>The <strong>U.S. Bureau of Labor Statistics</strong> projects that employment for <strong>database administrators and architects will grow by approximately 9% </strong>between 2023 and 2033, outperforming the national average for all occupations (~4%) &nbsp;</li><li><strong>Indeed (2025)</strong> reports the average base salary for U.S. data architects at <strong>$130,734/year</strong>, with salaries ranging from <strong>$89,900 to $190,100</strong>&nbsp;</li><li><strong>Glassdoor</strong> estimates median total pay at <strong>$189,171/year</strong>, with an average base salary near <strong>$141,967</strong> and additional compensation averaging <strong>$47K/year</strong>&nbsp;</li></ul>

IBM Data Architecture Professional Certificate 

Launch your career as a data architect in only 4 months! Build in-demand skills in data engineering, database management, and data architecture. No prior experience required. 

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  <div>Looking to break into AI-driven data systems? This course equips you with essential vector database and Chroma DB skills that are transforming modern data applications. </div><div> </div><div><strong><em>You will learn:</em></strong> </div><ul><li>Explore the role of vector databases in modern data management systems and their significance in generative AI applications. </li><li>Compare vector and traditional databases and learn how to choose the right type of vector database based on its features and uses. </li><li>Configure environments for vector database tasks and perform tasks related to database operations. </li><li>Apply your vector database skills executing similarity searches with real-world datasets. </li></ul><div><strong>Course Overview</strong> </div><div>In this course, you’ll be introduced to the fundamentals of vector databases and their transformative role in modern data management systems. Plus, you’ll build your understanding of the difference between vector and traditional databases and explore the types of vector databases and their uses.  </div><div> </div><div>You’ll then work with a standalone vector database, Chroma DB. This will include setting up the environment, performing database operations, working with collections, and performing similarity searches. </div><div> </div><div>Enroll today to build hands-on skills in vector databases with Chroma DB that businesses need. <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: Helpful Tips for Course Completion</li></ul><div><strong>Module 1: Building Blocks of Vector Databases</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Video: Vector Database Concepts </li><li>Reading: Vector Databases Versus Traditional Databases</li><li>Video: Vector Database Types </li><li>Video: Applications of Vector Databases </li><li>Reading: Using Chroma DB</li><li>Lab: Setting up the Environment</li><li>Video: Chroma DB Key Concepts and Architecture </li><li>Reading: An In-Depth Discussion of Chroma DB Architecture and Analysis</li><li>Video: Collection Creation and Vector Embedding Using Chroma DB </li><li>Video: Similarity Search Using Chroma DB </li><li>Reading: Vector Operations for Performing Similarity Searches</li><li>Lab: Similarity Search on Text Using a Chroma Vector Database</li><li>Video: Essential Vector Operations Using Chroma DB </li><li>Reading: Essential Vector Operations Using Chroma DB</li><li>Lab: Analyzing Employee Data with Similarity Search</li><li>Module 1 Practice Quiz: Vector Databases Fundamentals with Chroma DB</li><li>Module 1 Summary: Vector Databases Fundamentals with Chroma DB</li><li>Course Cheat Sheet: Vector Databases Fundamentals with Chroma DB</li><li>Module 1 Graded Quiz: Vector Databases Fundamentals with Chroma DB</li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Wrap-Up </li><li>Course Glossary: Vector Databases Fundamentals with Chroma DB</li><li>Congratulations and Next steps</li><li>Team and Acknowledgments</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>How to Claim Your Certificate</li><li>Claim Your Badge</li></ul><div><strong>Recommended Background</strong> <strong> </strong><br />To take this course, you should be proficient in relational databases and NoSQL database operations and applications, and have working knowledge of Node.JS. </div>
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Vector Databases Fundamentals with Chroma DB

Learn vector database essentials with hands-on Chroma DB practice—build, manage collections, run similarity searches, and boost your AI career. 

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  <div>Ready to put your AI skills into practice building AI-powered applications using vector databases and Hugging Face models? This project-based course gives you hands-on experience developing these powerful AI systems you can add to your portfolio. <br /><br /></div><ul><li><strong>You will: </strong>Gain job-ready experience building AI recommendation systems using ChromaDB and Hugging Face tools. </li><li>Learn to generate NLP embeddings and perform similarity search using real data. </li><li>Use ChromaDB to build a food recommendation system from scratch. </li><li>Complete a peer-reviewed job recommendation project using your choice of vector database. <br /><strong>Overview</strong> <br /> <br />During this course, you’ll build two end-to-end recommendation system projects.   <br />First, you’ll create a food recommendation engine using ChromaDB and Hugging Face NLP models. Then you’ll complete a capstone-style project to build a job search recommendation system using vector search with your choice of database—ChromaDB, PostgreSQL, MongoDB, or Cassandra.  </li><li><br />As you work, you’ll learn how to generate and store embeddings, set up a vector database, and use similarity search to return relevant recommendations. You’ll also explore using NLP tools from Hugging Face and vector database techniques, giving you experience with real-world AI infrastructure. <br /> <br />Note, these projects are designed to be shareable and porfolio-ready so they boost your visibility in job searches and technical interviews! <br /> <br /> If you’re keen to gain hands-on experience you can showcase to employers, enroll today. <br /><br /></li><li><strong>Prerequisites</strong> <br /> <br />This is an intermediate level course. To get the most from working on these projects, you should have prior exposure to vector databases, basic NLP or embedding models, and Python. If you're new to these areas, we recommend starting with the <strong>Vector Databases Fundamentals Specialization</strong> before taking this course. <br /> <br /><strong>Related Professional Certificate</strong> <br /> <br />This course is part of the <strong>Vector Database Fundamentals Specialization</strong>. If you're looking to accelerate your AI career, we recommend that you enroll in the full certificate to build the hands-on expertise in vector search, RAG pipelines, generative AI, and AI application development employers are looking for.</li><li> <br /><strong>Course Syllabus</strong> <br /> <br /><strong>Course Modules</strong> <br /><strong>Module 1: AI Recommendation Systems with Vector Databases</strong> <ul><li>Reading: Module Description and Learning Objectives </li><li>Reading: Introduction to Hugging Face </li><li>Video: Hugging Face </li><li>Lab: Set Up the Hugging Face API Key </li><li>Lab: Working with Hugging Face Models </li><li>Reading: Practice Project Overview </li><li>Video: Practice Project Overview </li><li>Practice Project: Food Recommendation System using ChromaDB </li><li>Module Summary </li></ul></li><li><strong>Module 2: Final Project, Peer Review &amp; Assessment</strong> <ul><li>Reading: Module Description and Learning Objectives </li><li>Reading: Final Project Overview </li><li>Video: Final Project Overview </li><li>Final Project: Peer Review </li><li>Final Project: Review your peers </li><li>Graded Quiz: Vector Database Capstone Project </li></ul></li><li><strong>Module 3: Course Wrap Up</strong> <ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li></ul></li><li><strong>Module 4: Course Rating and Feedback</strong> <ul><li>Reading: Course Rating and Feedback </li></ul></li><li><br /> <br /><br /></li></ul>
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Vector Database Projects: AI Recommendation Systems

Build 2 real-world recommendation systems using Hugging Face, Chroma DB, and vector database search techniques. 

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  <div>High-achieving Program Managers know that, for a program to be a success, it’s critical to ensure identified benefits align with an organization’s strategic goals. This course provides aspiring program managers with the tools to align multiple projects with broad organizational goals and achieve impactful results.   </div><div><strong><em>You will learn:</em></strong>  </div><ul><li>Essential program management skills for aligning program initiatives with organizational goals to drive success. </li><li>The three key phases of the program lifecycle, core responsibilities of program managers, and the creation of an effective program management plan.  </li><li>The role of a program manager regarding framework, strategy, and planning  </li><li>Risk management strategies that reduce program uncertainties </li></ul><div> </div><div> </div><div><strong>Course Overview</strong>   </div><div> </div><div>During this course, you’ll explore the overall program management framework and the program lifecycle. You’ll examine how programs align with organizational strategy, while balancing portfolio and operations management. You’ll also look at program integration management and how to implement strategic initiatives in a changing environment, employing effective risk management strategies. <br /><br /></div><div>Additionally, you’ll build hands-on experience applying your knowledge in online labs. Plus, you’ll complete a final project that simulates a real-life scenario.  <br /><br /></div><div>If you’re keen to build the essential framework, strategy, and planning skills you need to be a successful Program Manager and stand out to employers, enroll today! <br /><br /></div><h1>Course Syllabus</h1><div><strong>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: Grading Scheme</li><li>Reading: How to Make the Most of this Course</li><li>Video: Meet the Experts </li><li>Video: Program Management Overview </li></ul><div><strong>Module 1: The Program Lifecycle</strong></div><ul><li>Reading: Module 1 Introduction and Learning Objectives</li><li>Video: Program Lifecycle Overview </li><li>Reading: Program Management Performance Domains</li><li>Video: Program Definition Phase </li><li>Reading: Program Definition Phase Checklist</li><li>Video: Expert Viewpoints: Program Definition Phase </li><li>Video: Completing the Program Definition Phase </li><li>Lab: Analyze a Program Definition Scenario</li><li>Video: Program Delivery Phase </li><li>Reading: Program Delivery Phase Checklist</li><li>Video: Program Closure Phase </li><li>Video: Expert Viewpoints: Program Closure </li><li>Reading: Program Closure Phase Checklist</li><li>Lab: Analyze a Program Closure Scenario</li><li>Practice Quiz: The Program Lifecycle</li><li>Reading: Summary and Highlights: The Program Lifecycle</li><li>Glossary: The Program Lifecycle</li><li>Graded Quiz: The Program Lifecycle </li></ul><div><strong>Module 2: Strategy Alignment and Benefits Planning</strong></div><ul><li>Reading: Module 2 Introduction and Learning Objectives</li><li>Video: Strategic Initiative Development </li><li>Reading: Illustrating the Strategic Initiative Development Process</li><li>Video: Demo: Portfolios as a Vehicle to Deliver Strategic Initiatives </li><li>Video: Expert Viewpoints: Strategic Initiative Planning </li><li>Lab: Develop a Portfolio Based on a Scenario</li><li>Video: The Benefits Management Process </li><li>Reading: The Benefits Management Process: A Checklist</li><li>Video: Demo: Benefits Identification, Analysis, and Planning </li><li>Video: Expert Viewpoints: Organizational Maturity and Change </li><li>Video: Demo: Benefits Delivery, Transition, and Sustainment </li><li>Lab: Develop a Benefits Register</li><li>Practice Quiz: Strategy Alignment and Benefits Planning</li><li>Reading: Summary and Highlights: Strategy Alignment and Benefits Planning</li><li>Glossary: Strategy Alignment and Benefits Planning</li><li>Graded Quiz: Strategy Alignment and Benefits Planning </li></ul><div><strong>Module 3: Program Activities and Execution</strong></div><ul><li>Reading: Module 3 Introduction and Learning Objective</li><li>Video: Program Integration Management </li><li>Reading: Program Business Case and Program Charter Overview and Templates</li><li>Video: Demo: Program Formulation Activities </li><li>Reading: Program Management Plan Overview and Templates</li><li>Video: Demo: Program Planning </li><li>Video: Expert Viewpoints: Program Formulation and Planning </li><li>Lab: Create an Abbreviated Program Management Plan</li><li>Reading: Program Delivery Phase Activities</li><li>Video: Demo: Communications and Information Management </li><li>Reading: Program Delivery: Quality Management</li><li>Video: Demo: Scope and Schedule Management </li><li>Video: Demo: Program Delivery: Risk Management </li><li>Video: Expert Viewpoints: Program Manager Role in Delivery </li><li>Reading: Program Closure</li><li>Lab: Risk Management</li><li>Practice Quiz: Program Activities and Execution</li><li>Reading: Summary and Highlights: Program Activities and Execution</li><li>Glossary: Program Activities and Execution</li><li>Graded Quiz: Program Activities and Execution </li></ul><div><strong>Module 4: Guided Project and Final Assessment</strong></div><ul><li>Reading: Module 4 Introduction and Learning Objectives</li><li>Reading: Final Project Overview</li><li>Final Project: Sakura Sweets Online Presence Enhancement</li><li>Graded Quiz: Final Graded Quiz </li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Highlights and Key Takeaways </li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><div><strong>Course Rating and Feedback</strong></div><ul><li>Course Rating and Feedback</li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Anyone interested in learning about the program manager’s role in planning and executing strategic projects will benefit from taking this course. While there are no specific prerequisites , some project management experience is recommended for those seeking project or program management professional certifications. </div>
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Program Manager: Framework, Strategy, and Planning

Master program strategy and planning. Learn how to align projects with business goals, manage risks, and drive strategic impact through structured planning.  

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  <div>Get ready to take the first step on your journey to becoming a high-achieving Program Manager. This course provides the ideal starting point to building the essential, foundational knowledge you need to move forward. <br /><br /></div><div><strong>You will:</strong>  </div><ul><li>Learn the core concepts of the program management lifecycle, key domains, essential terminologies, and effective stakeholder collaboration—covered in just two weeks </li><li>Gain insights into program manager career paths, relevant certifications, and the creation of a personalized skills development plan </li><li>Build a foundational understanding of program manager roles, responsibilities, and the skills needed for long-term success </li><li>Get practical program management experience through interactive exercises and a real-world inspired final project </li></ul><div><strong>Course overview</strong> </div><div>Designed for aspiring program managers as well as experienced professionals—such as project managers, product owners, and scrum masters—this course provides a focused, practical introduction to the program manager role.  <br /><br /></div><div>You’ll learn how program managers oversee multiple related projects to drive business goals, improve stakeholder collaboration, and ensure cohesive execution across initiatives. <br /><br /></div><div>You’ll also learn how to define programs, navigate the program management lifecycle, and address key challenges. Plus, you’ll explore the role of PMOs, stakeholder management tools such as RACI charts, certification options including PMI-PgMP, and career paths for program managers. <br /><br /></div><div>With a blend of guided instructions, real-world examples, and hands-on activities, you'll gain both the knowledge and confidence you need to pursue program management certification pathways.  <br /><br /></div><div>Then, finally, you’ll complete a project where you analyze program manager job opportunities and create a personalized learning plan to pursue a role in this field. <br /><br /></div><div><strong>Enroll now</strong> and begin your journey toward a successful career as a strategic, high-impact program manager! <br /><br /></div><div><strong>Prerequisites</strong>  <br /><br /></div><div>The course is designed for aspiring program managers who would like a focused introduction to the role and career path. It is also suitable for current project management professionals seeking to expand their skills in program management.  <br /><br /></div><div>No prior program management experience is required to take this course.  <br /><br /></div><div><strong>Related</strong><em> </em><strong>professional certificate</strong>  <br /><br /></div><div>This course is part of the <strong>IBM Program Manager Professional Certificate</strong>. If you're keen to build strong foundational skills and gain proficiency in planning and implementing strategic initiatives, we recommend you enroll for the full program and work through the courses in order. Within a short time, you'll have job-ready skills and practical experience on your resume that will help you launch your program management career! <br /><br /></div><div><strong>Course syllabus</strong> </div><div>The course consists of the following modules. <br /><br /><strong>Module 0: Welcome to the Course</strong></div><ul><li>Video: IBM Program Manager Overview</li><li>Video: Course Introduction</li><li>Reading: Course Welcome and Overview</li><li>Plugin/Reading: Helpful Tips for Course Completion</li><li>Video: Meet the Experts</li></ul><div><strong>Module 1: Program Manager Profession Overview</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Video: Program Management</li><li>Video: Key Program Strategy Management Relationships</li><li>Reading: Key Program Manager Skills and Competencies </li><li>Video: Expert Viewpoints: Criticality of Program Management</li><li>Video: The Role of the Program Management Office (PMO) </li><li>Activity: Individual Skill Assessment </li><li>Summary: Program Manager Profession Overview </li><li>Glossary:  Program Manager Profession Overview</li><li>Practice Quiz:  Program Manager Profession Overview</li><li>Graded Quiz:  Program Manager Profession Overview</li></ul><div><strong>Module 2 :Program Management Performance Domains, Lifecycle, and Certifications</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Video: Key Program Management Stakeholders </li><li>Video: Program, Project, Portfolio - What's the Difference?</li><li>Video: Program Versus Product Managers </li><li>Video: Define the Team of Teams</li><li>Video: Expert Viewpoints: Stakeholder Identification and Management </li><li>Video: Program Management Performance Domains </li><li>Video: Program Management Domain Interactions </li><li>Activity: Navigate the Performance Domains </li><li>Video: Program Management Lifecycle </li><li>Video: Program Management Lifecycle Challenges </li><li>Video: Expert Viewpoints: Real-life Challenges</li><li>Reading: Introduction to the PMI Standard for Program Management </li><li>Video: PMI-PgMP Certification Overview</li><li>Reading: PMI PgMP and Other Related Certifications</li><li>Video: Expert Viewpoints: Value Certifications</li><li>Summary: Program Management Performance Domains, Lifecycle, and Certifications</li><li>Glossary:   Program Management Performance Domains, Lifecycle, and Certifications</li><li>Practice Quiz:  Program Management Performance Domains, Lifecycle, and Certifications</li><li>Graded Quiz:  Data Setup Using Relational Database (OLTP)</li></ul><div><strong>Module 3: Program Manager Opportunities, Project, and Final Assessment</strong></div><ul><li>Reading: Module Description and Learning Objectives</li><li>Video: Program Manager Employment Opportunities </li><li>Reading: Program Manager Job Requirements and Salary Ranges  </li><li>Video: Program Manager Career Paths</li><li>Video: Expert Viewpoints: Program Manager Career Path </li><li>Activity: Categorize Program Lifecycle Challenges</li><li>Practice Quiz: Program Manager Opportunities</li><li>Glossary: Program Manager Opportunities, Project ,and Final Assessment</li><li>Final Project: Potential Program Manager Opportunities</li><li>Final Graded Quiz: Program Manager: Role and Fundamentals</li></ul><div><strong>Module 4: Course Wrap Up</strong></div><ul><li>Video: Course Highlights and Key Takeaways</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><div><strong>Module 5: Course Rating and Feedback</strong><br />Reading: Course Rating and Feedback<br /><br /></div>
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Program Manager: Role and Fundamentals

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

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  <div>Keen to add vector search in NoSQL databases to your resume? A must-have skill for data scientists, ML engineers, and GenAI developers who are driving the future of AI-powered search. This course builds in-demand skills businesses need in just 1 week. </div><div> </div><div><strong>You will</strong>: </div><ul><li>Gain in-demand vector search skills for NoSQL databases.  </li><li>Learn how to store, index, and perform vector searches using MongoDB. </li><li>Explore vector storage and query techniques for Cassandra. </li><li>Apply vector search concepts to build real-world applications like movie recommendations, inventory systems, and personalized experiences. </li></ul><div> </div><div><strong>Course overview: </strong></div><div>Businesses use vector search in NoSQL databases to boost the accuracy and efficiency of AI-powered search and recommendation systems. </div><div> </div><div>In this micro course, you’ll explore how to integrate vector search capabilities into NoSQL databases, focusing on MongoDB and Cassandra. You’ll learn how to store and index vector data, perform similarity searches, and apply these techniques to real-world use cases such as text similarity analysis, image classification, and recommendation systems. </div><div> </div><div>Through practical labs, you’ll gain hands-on experience working with MongoDB and Cassandra, leveraging their unique features for storing, querying, and optimizing vector data. You’ll also apply your skills to build AI-driven applications for movie recommendations, inventory management, and personalized experiences. Then, in a final project, you’ll apply your skills to a hands-on, real-world challenge. <br /> </div><div>Enroll today and build valuable, job-ready skills in relational vector databases you can add to your resume in just 1 week! </div><div> </div><div><strong>Prerequisites:</strong> </div><div>To get the most from this course, you should have foundational knowledge of MongoDB, Cassandra, and Node.js and be familiar with vector databases and their applications.  </div><div> </div><div><strong>Related</strong><em> </em><strong>Program:</strong></div><div>This course is part of the <strong>Vector Database Fundamentals Specialization</strong>. If you’re keen to build job-ready skills in vector databases, we recommend you enroll for the full program and work through the courses in order. Within a short time, you’ll have valuable skills and practical experience employers look for on your resume! <br /><br /></div><div> </div><div><strong>Course Syllabus:</strong></div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Module 0: Welcome </li><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 from This Course </li></ul><div><strong>Module 1: Vector Search Implementation in NoSQL Databases</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to MongoDB </li><li>Lab: Setting Up MongoDB Cloud Account </li><li>Video: Vector Search in MongoDB </li><li>Lab: [Optional] Setting Up MongoDB Docker </li><li>Video: Storing and Indexing Vectors in MongoDB </li><li>Video: Performing Vector Search in MongoDB </li><li>Lab: News Finder Service with MongoDB Atlas </li><li>Lab: Books Plot Search with MongoDB Atlas </li><li>Video: Introduction to Cassandra </li><li>Video: Vector Search in Cassandra </li><li>Lab: [Optional] Setting Up Cassandra Docker </li><li>Video: Performing Vector Search in Cassandra </li><li>Video: Storing and Querying Vectors in Cassandra </li><li>Lab: Songs Discovery Service with Cassandra Vector DB </li><li>Lab: Product Review Search with Cassandra Vector DB </li><li>Practice Quiz: Vector Search Implementation in NoSQL Databases </li><li>Reading: Summary: Vector Search Implementation in NoSQL Databases </li><li>Reading: Course Glossary: Vector Search Implementation in NoSQL Databases </li><li>Reading: Course Cheat Sheet: Vector Search Implementation in NoSQL Databases </li><li>Graded Quiz: Vector Search Implementation in NoSQL Databases </li></ul><div><strong>Module 2: Course Wrap-Up </strong> </div><ul><li>Video: Course Wrap-Up </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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Vector Search with MongoDB & Cassandra

Master NoSQL vector search with MongoDB & Cassandra. Build AI apps for search, recommendations, and more through hands-on labs and projects.

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  <div>Fueled by the rise of generative AI and real-time applications, vector search has become a cornerstone of modern data infrastructure. This micro course equips aspiring data scientists, ML engineers, generative AI developers, software engineers, and other data-driven professionals with highly sought-after skills in implementing vector searches in relational databases. </div><div> </div><div><strong>You will:</strong> </div><ul><li>Gain a solid understanding of how to model vector data in relational databases (RDBMS). </li><li>Practice storing, retrieving, and querying vectors efficiently using PostgreSQL. </li><li>Apply indexing techniques and optimization strategies to enhance vector search performance. </li><li>Perform hands-on vector search tasks by setting up environments and running queries in PostgreSQL labs. </li></ul><div><strong>Course overview</strong> </div><div> </div><div>In this course, you’ll start with a quick recap of relational database management systems (RDBMS) before exploring how vector data types and similarity queries are supported in PostgreSQL. Plus, you’ll learn how businesses improve information retrieval using vector search and advanced similarity matching. </div><div> </div><div>Through hands-on labs, you’ll work with PostgreSQL as your primary database platform and use Python (psycopg2) and JavaScript (Node.js with pg-vector) to vectorize data, create embeddings and collections, and perform efficient bulk insertions. You’ll also create “tsvector” data, execute “tsquery” operations, and apply similarity search techniques such as cosine similarity to power intelligent recommendations. </div><div> </div><div> Enroll today and build valuable, job-ready skills in relational vector databases you can add to your resume and talk about in interviews! </div><div> </div><div><strong>Prerequisites</strong> </div><div> </div><div>A foundational knowledge of relational databases, JavaScript, and Python is preferred.  </div><div> </div><div><strong>Related</strong><em> </em><strong>Program</strong> <br /><br /></div><div>This course is part of the <strong>Vector Databases Specialization</strong>. If you’re keen to build job-ready skills in vector databases, we recommend you enroll for the full program and work through the courses in order. Within a short time, you’ll have valuable skills and practical experience employers look for on your resume! <br /><br /></div><div><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Plugin/Reading: How to Make the Most of This Course  </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li></ul><div><strong>Module 1: Vector Search Practices for SQL Databases</strong> </div><ul><li>Reading: Module Description and Learning Objectives </li><li>Video: Relational Databases: A Recap </li><li>Video: Vector Embeddings in Relational Databases </li><li>Reading: Creating Indexes for Vector Search Optimization </li><li>Video: RDBMS that Supports Vector Database Search </li><li>Lab: Creating and Retrieving Data in PostgreSQL Using Node.js </li><li>Lab: Creating and Retrieving Data in PostgreSQL Using Python </li><li>Lab: Creating a Vector DB in PostgreSQL Using Python </li><li>Video: Adding Embedding Data to pgvector </li><li>Lab: Creating Vector Database in PostgreSQL with Node.js </li><li>Video: Bulk Insert Methods for Vector Data </li><li>Video: Performing Vector Data Queries </li><li>Lab: Batch Loading and Querying with Node.js </li><li>Lab: Batch Loading and Querying with Python </li><li>Reading: Cloud Platforms that Support pgvector </li><li>Reading: Module Summary: Vector Search Practices for SQL Databases </li><li>Practice Quiz: Vector Search Practices for SQL Databases </li><li>Reading: Course Cheat Sheet: Implementing Vector Search with Relational Databases </li><li>Graded Quiz: Implementing Vector Search with Relational Databases </li></ul><div><strong>Module 2: Course Wrap-Up</strong> </div><ul><li>Video: Course Summary </li><li>Reading: Course Glossary: Implementing Vector Search with Relational Databases </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li></ul><div><strong>Module 3: Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li></ul>
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Vector Search with PostgreSQL

Build sought-after skills in vector search using PostgreSQL, Python, and Java Script. Master embeddings, similarity search, and bulk insertions.  

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  <div>Ready to develop stakeholder engagement and governance expertise to become a standout Program Manager?  </div><div> </div><div>This course equips you with the career-advancing stakeholder engagement, governance, and communication capabilities employers are looking for. </div><div> </div><div><strong>You will:</strong>  </div><ul><li>Gain in-demand skills in stakeholder engagement and program governance that you can talk about in interviews. </li><li>Learn to assess stakeholder needs, craft communication strategies, and drive alignment across teams and programs. </li><li>Master financial aspects of program management, including budgeting, cost control, and resource allocation. </li><li>Explore core governance principles and how to uphold PMI’s professional and ethical standards. </li></ul><div><strong>Course overview</strong>   </div><div>In this course, you’ll build the essential skills you need to align stakeholder interests, drive collaboration across teams, and ensure strategic decisions support successful program execution.  </div><div> </div><div>You’ll consider the three phases of a program and learn how to engage stakeholders effectively, manage their expectations, and foster transparency and accountability. You’ll explore how to assess organizational maturity, manage changes, control costs, allocate resources, and keep your programs on time, within scope, and on budget. Plus, you’ll look at the critical principles of program governance and the ethical standards outlined in the PMI Code of Conduct. </div><div> </div><div>With hands-on labs, scenario-based exercises, and a final project designed to simulate real-world challenges, you’ll gain valuable practical experience applying what you have learned that you can talk about confidently in interviews.  </div><div>If you’re keen to build career-shaping skills that take your program management capabilities to the next level, enroll now! </div><div> </div><div><strong>Prerequisites</strong>  </div><div>This course is ideal for aspiring and current program managers looking to formalize their skills in stakeholder engagement and program governance.  </div><div> </div><div>While there are no formal prerequisites, prior experience in program or project environments will help you get the most out of the course. </div><div> </div><div><strong>Related</strong><em> </em><strong>certification programs</strong> </div><div> </div><div>This course is part of the following two programs: </div><ul><li>IBM Program Manager Professional Certificate </li></ul><div>If you’re looking to build key program management skills in stakeholder engagement, governance, communication, and financial oversight—while aligning with PMI standards—we recommend you enroll for the program of your choice and complete the courses in sequence.  </div><div> </div><div>In a short time, you’ll gain job-ready skills and hands-on practical experience that fuel your career in program management! </div><div> </div><div><strong>Course syllabus</strong>  <br /><br /></div><div>The course consists of the following modules.<br /><br /><strong>Module 0: Welcome</strong></div><ul><li>Video: Course Introduction</li><li>Reading: General Information</li><li>Reading: Learning Objectives and Syllabus</li><li>Reading: How to Make the Most of this Course</li><li>Reading: Grading Scheme</li><li>Video: Expert Viewpoints: Meet the Experts </li></ul><div><strong>Module 1: Stakeholder Management and Engagement </strong></div><ul><li>Reading: Module 1 Introduction and Learning Objectives</li><li>Video: Stakeholder Identification and Analysis </li><li>Demo Video: The Stakeholder Register </li><li>Reading: Stakeholder Analysis and Engagement Techniques</li><li>Video: Effective Stakeholder Engagement </li><li>Reading: Illustrate a Program Communications Management Plan</li><li>Video: Expert Viewpoints: Effective Stakeholder Engagement </li><li>Lab: Develop a Program Stakeholder Register and Program Communications Management Plan</li><li>Video: Collaboration Factors Impacting Program Success </li><li>Reading: Mapping Collaboration to Value Delivery</li><li>Video: Principle of Synergy </li><li>Video: Expert Viewpoints: Effective Collaboration</li><li>Video: Collaboration to Achieve Results </li><li>Lab: Perform a Retrospective</li><li>Practice Quiz: Stakeholder Management and Engagement </li><li>Reading: Summary and Highlights: Stakeholder Management and Collaboration</li><li>Reading: Glossary: Stakeholder Management and Collaboration</li><li>Graded Quiz: Stakeholder Management and Collaboration</li><li><strong>Module 2: Managing Change and Program Resources </strong></li><li>Reading: Module 2 Introduction and Learning Objectives</li><li>Video: Managing Change </li><li>Video: Organizational Maturity </li><li>Reading: Assessing Organizational Maturity: A Checklist </li><li>Video: The Program Change Management Office </li><li>Video: Expert Viewpoints: Organizational maturity and change </li><li>Lab: Assess your Organization’s Maturity </li><li>Video: Program Resource Management </li><li>Demo Video:  Resource Management Plan</li><li>Reading: Three-Point Cost Estimation</li><li>Video: Resource Budget Management </li><li>Video: Expert Viewpoints: Resource and Budget Planning </li><li>Lab: Complete a Resource Management Plan and Budget Based on a Scenario </li><li>Practice Quiz: Managing Change and Program Resources </li><li>Reading: Summary and Highlights: Managing Change and Program Resources </li><li>Plugin/Reading: Glossary: Managing Change and Program Resources </li><li>Reading: Summary and Highlights: Managing Change and Program Resources </li><li>Plugin/Reading: Glossary: Managing Change and Program Resources </li><li>Graded Assignment: Graded Quiz: Managing Change and Program Resources </li></ul><div><strong>Module 3: Financial Planning and Program Governance </strong></div><ul><li>Reading: Module 3 Introduction and Learning Objectives</li><li>Video: Program Financial Management</li><li>Reading: Key Financial Metrics Overview </li><li>Demo Video: Planning Key Financials </li><li>Video: Program Procurement Planning</li><li>Lab: Calculate Key Financials for a Scenario </li><li>Video: Expert Viewpoints: Financial and Procurement Planning </li><li>Video: Governance Framework </li><li>Reading: Program Governance Checklist </li><li>Reading:  Governance Framework Roles</li><li>Demo Video: Earned Value (EV) Management as Governance Tool</li><li>Video: Expert Viewpoints: Governance </li><li>Video: PMI Code of Conduct </li><li>Lab: Perform a Code of Conduct Retrospective</li><li>Practice Quiz: Financial Planning and Program Governance</li><li>Reading: Summary and Highlights: Financial Planning and Program Governance</li><li>Plugin/Reading: Glossary: Financial Planning and Program Governance</li><li>Graded Assignment: Graded Quiz: Financial Planning and Program Governance</li><li><strong>Final Project and Final Quiz</strong></li><li>Reading: Module 4 Introduction and Learning Objectives</li><li>Reading: Final Project Overview</li><li>Final Project: Smart Retail Transformation Program</li><li>Graded Quiz: Final Graded [PgMP Prep] Quiz</li></ul><div><strong>Course Wrap-Up</strong></div><ul><li>Video: Course Highlights and Key Takeaways</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Team and Acknowledgments</li></ul><div><strong>Course Rating and Feedback</strong><br />Reading: Course Rating and Feedback <br /><br /></div>
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Program Manager: Execution, Stakeholders & Governance

Build essential skills successful Program Managers need in stakeholder engagement, governance, budgeting, and communication strategies to align teams and manage resources. 

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  <div><br /></div><div>Practical experience makes all the difference in a job interview, and this Capstone course gives you just that. Designed to help you apply your knowledge in real-world scenarios, this course allows you to step into the roles of both a Program Manager and a Program Portfolio Manager, showcasing your ability to manage complex initiatives from start to finish. </div><div> </div><div>You’ll create essential program management deliverables, including a program charter, stakeholder register, and program roadmap. You'll also develop a work breakdown structure, resource and communications management plans, a risk register, benefits register, and produce a program status and closure report. These outputs reflect the day-to-day responsibilities of a program leader and help you build a professional portfolio that proves you’re job-ready. </div><div> </div><div>To further support your journey, you’ll complete quizzes aligned with the PMI PgMP certification exam and receive expert tips on building your portfolio, crafting your resume, and preparing to launch your career in program management. </div><div> </div><div>In this course, you will: </div><ul><li>Gain hands-on program management experience you can talk about in interviews and showcase in your portfolio. </li><li>Demonstrate your ability to effectively plan a program to include scope, schedule, budget, communications, risk, and benefits </li><li>Apply a scenario to develop supporting program delivery and closure documents </li><li>Use tips and guidance to enhance your resume, develop your personal portfolio, and improve your job search outcomes </li></ul><div><strong>Prerequisites</strong> </div><div> </div><div>Learners are recommended to complete all courses in this Professional Certificate series before beginning this final capstone course. <br /><br /><strong>Course Syllabus</strong> </div><div> </div><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Helpful Tips for Course Completion </li><li>Reading: Grading Scheme </li></ul><div> </div><div><strong>Module 1: Program Formulation    </strong> </div><ul><li>Reading: Module Description and Learning Objectives    </li><li>Video: The Program Lifecycle and Program Definition Activities </li><li>Reading: Program Scenario  </li><li>Demo Video: Program Portfolio Planning </li><li>Reading: Illustrate a Program Charter </li><li>Reading: Illustrate a Stakeholder Register  </li><li>Lab: TechVision AI Program Portfolio, Charter, and Stakeholder Register Development </li><li>Practice Quiz: Program Formulation: Scenario Introduction and Portfolio Development </li><li>Reading: Summary and Highlights: Program Formulation </li><li>Graded Assignment: Graded Quiz: Program Formulation    </li></ul><div><strong>Module 2: The Program Triangle: Scope, Schedules, and Costs  </strong> </div><ul><li>Reading: Module Description and Learning Objectives  </li><li>Reading: Module 2 Description and Learning Objectives  </li><li>Reading: Scenario Update: Program Scope and Scheduling  </li><li>Demo Video: Planning Program Scope and Schedules  </li><li>Lab: Program Scope and Schedule Planning </li><li>Reading: Scenario Update: Cost Analysis  </li><li>Demo Video: Resource and Budget Planning </li><li>Lab: Program Resource Management Planning </li><li>Practice Quiz: The Program Triangle: Scope, Schedules, and Costs </li><li>Reading: Summary and Highlights: The Program Triangle: Scope, Schedules, and Costs </li><li>Graded Quiz: The Program Triangle: Scope, Schedules, and Costs  </li></ul><div> </div><div><strong>Module 3: Program Planning: Communications, Risk Management, and Benefits Planning   </strong> </div><ul><li>Reading: Module Description and Learning Objectives   </li><li>Reading: Scenario Update: Program Communication Management Plan and Risk Register </li><li>Demo Video: Program Communications Management  </li><li>Reading: Program Risk Management  </li><li>Demo Video: Program Risk Management  </li><li>Lab: Program Communications and Risk Planning </li><li>Demo Video: Benefits Management  </li><li>Lab: Benefits Planning </li><li>Practice Quiz: Program Planning: Communications, Risk Management, and Benefits Planning </li><li>Reading: Summary and Highlights: Program Planning: Communications, Risk Management, and Benefits Planning </li><li>Graded Quiz: Program Planning: Communications, Risk Management, and Benefits Planning    </li></ul><div> </div><div><strong>Module 4: Program Delivery and Closure   </strong> </div><ul><li>Reading: Module Description and Learning Objectives </li><li> Reading: Scenario Update and Program Delivery Activities  </li><li>Demo Video: Program Status Reporting  </li><li>Lab: Program Status Reporting </li><li>Reading: Program Closure Activities  </li><li>Demo Video: Program Closure  </li><li>Lab: Program Closure Report </li><li>Practice Quiz: Program Delivery and Closure </li><li>Reading: Summary and Highlights: Program Delivery and Closure </li><li>Graded Quiz: Program Delivery and Closure </li></ul><div> </div><div><strong>Module 5: Final Submission and Evaluation    </strong> </div><ul><li>Reading: Module Description and Learning Objectives </li><li>Final Project Overview and Scenario </li><li>Final Project: Integrated Process Improvement Program (IPIP) </li><li>Reading: Submission Rubric and Grading  </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Team and Acknowledgments </li><li>Reading: Introduction to Program Management Professional PMI-PgMP Preparation Course  </li></ul><div><strong>Module 6 [Bonus] Lesson Portfolio Development and Job Readiness</strong> </div><ul><li>Reading: Description and Learning Objectives </li><li>Reading: Introduction to the Bonus Module </li><li>Reading: Develop Your Personal Portfolio </li><li>Demo Video: Personal Portfolio Development  </li><li>[Optional] Lab: Develop an Impactful Personal Portfolio </li><li>Video: Resume and Job Search Tips  </li></ul><div><strong>Course Rating and Feedback</strong> </div><ul><li>Reading: Course Rating and Feedback </li><li>Reading: How to claim your certificate </li><li>Reading: Claim your badge here </li><li>Reading: Frequently Asked Questions </li></ul>
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Program Manager: Capstone Project

Apply your skills as a program and portfolio manager to confidently create key program management deliverables that drive alignment, value, and impact. 

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  <div>The Program Management Professional (PgMP) certification is a prestigious credential that validates in-demand program management expertise that companies are looking for. This course provides valuable exam tips, preparation, and practice opportunities to help you succeed in the challenging exam. </div><div> </div><div><strong>You will:</strong>  </div><ul><li>Learn expert test-taking strategies and tips tailored to help you to enter on the PMI-PgMP certification exam with confidence </li><li>Explore the eligibility requirements, application process, and exam structure, including coverage of the performance domains in each exam section </li><li>Look at essential study resources and supplementary channels to support effective exam preparation </li><li>Assess your exam readiness with targeted practice questions and a full-length mock test that simulates the actual PgMP test environment </li></ul><div><strong>Course overview</strong>   </div><div>In this course, you'll gain a thorough understanding of the PMI-PgMP certification process, including eligibility requirements and the application journey, and get step-by-step guidance to help you successfully navigate it.  </div><div> </div><div>You'll dive deep into the five performance domains that shape all the exam questions: strategic program management, program life cycle, benefits management, stakeholder engagement, and governance. Plus, you'll learn proven test-taking strategies and get practical tips to boost your confidence. Then, to reinforce your readiness, the course includes a 32-question practice quiz and a full-length, 173-question timed mock exam that simulates the real PMI-PgMP test environment. </div><div> </div><div>If you're keen to earn your PMI-PgMP certification and stand out as a job-ready Program Manager, enroll now to maximize your chance of success! <br /><br /></div><div> <strong>Prerequisites</strong>  </div><div>This course is ideal for aspiring and experienced project and program managers, senior leaders, and professionals who are ready to take the PMI-PgMP certification exam. We recommend that you have mastered the skills taught in the programs highlighted below before taking this course. <br /><br /><strong>Related</strong><em> </em><strong>professional certificate</strong> </div><div>This course is part of the following two programs: </div><ul><li>IBM Program Manager Professional Certificate </li><li>Mastering Program Management: Strategy to Certification Specialization </li></ul><div>If you're looking to comprehensively prepare for taking the PMI-PgMP certification exam, we recommend you enroll for one of these programs and work through the courses in order.  </div><div> </div><div>In a short time, you’ll gain job-ready skills and hands-on practical experience and potentially earn industry-recognized certification to help advance your career in program management! <br /><br /><strong>Syllabus<br /></strong><br /></div><div><strong>Welcome to the Course   </strong></div><ul><li><ul><li>Video: Course Introduction  </li><li>General Information </li><li>Learning Objectives and Syllabus </li><li>Reading: How to Make the Most of This Course </li><li>Grading Scheme </li></ul></li></ul><div><strong>PMI-PgMP Certification Exam Overview   </strong></div><ul><li><ul><li>Module Introduction and Learning Objectives </li><li>Video: Eligibility for the PMI-PgMP Certification  </li><li>Video: PMI-PgMP Domains  </li><li>Reading: Preparation Strategies for the PgMP Exam </li><li>Reading: Domain Tasks in PgMP </li><li>Reading: Key Reference Documents and Study Resources </li><li>Video: Exam Taking Strategies </li><li>Reading: Summary and Highlights </li><li>Practice Test </li></ul></li></ul><div><strong>PgMP Mock Test   </strong></div><ul><li><ul><li>Module Introduction and Learning Objectives </li><li>Graded Mock Test for PMI-PgMP Certification</li></ul></li></ul><div><strong>Course Wrap-Up </strong></div><ul><li><ul><li>Course Summary </li><li>Congratulations and Next Steps </li><li>Thanks from the Course Team </li><li>Copyright and Trademarks</li></ul></li></ul><div><strong>Course Rating and Feedback  </strong></div><ul><li><ul><li>Feedback</li></ul></li></ul><div> </div>
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Program Manager: Practice Exam for PMI-PgMP Certification

Prepare for the PMI-PgMP certification exam with tips and test-taking strategies, plus a complete practice quiz and a full mock exam. 

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

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

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