AI for Product Managers

Module description: Understand what product managers do, how digital products are developed and why solving the correct user problem matters more than immediately building features. Learn to use AI as a research and thinking assistant while keeping real user evidence separate from AI generated suggestions. Module outcome: Learners can explain the product management lifecycle, identify stakeholders, establish a product goal and prepare a structured user discovery plan.

• IntroductionPreview3 min

Lesson slug: understanding product management and ai Duration: 35 minutes Preview lesson: Yes

• Lesson 1: Understanding Product Management and the Role of AI overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept4 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Lesson slug: product discovery user research and validation Duration: 35 minutes Preview lesson: No

• Lesson 2: Product Discovery, User Research and Problem Validation overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept4 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Quiz description: Test your understanding of product management responsibilities, product outcomes and user discovery. Passing score: 70% Allow retakes: Yes Show correct answers: Yes

• Module 1 Quiz: Product Management and Discovery overviewPreview3 min
• AI Product Manager Quiz

Before continuing, confirm that you have:

• Module 1 completion checkpoint overview3 min

Lesson slug: creating professional product requirements document Duration: 35 minutes Preview lesson: No

• Lesson 3: Creating a Professional Product Requirements Document (PRD) overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept3 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Lesson slug: user stories acceptance criteria and product backlog Duration: 35 minutes Preview lesson: No

• Lesson 4: User Stories, Acceptance Criteria and Product Backlog Management overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept3 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Quiz description: Test your understanding of PRDs, product scope, user stories and acceptance criteria. Passing score: 70% Allow retakes: Yes Show correct answers: Yes

• Module 2 Quiz: PRDs and Product Requirements overview3 min
• Module 2 Quiz

Before continuing, confirm that you have:

• Module 2 completion checkpoint overview3 min

Module description: Learn to decide which product features deserve attention, how to organise delivery and how to measure whether product improvements are useful. Apply established prioritisation and product measurement frameworks while considering the reliability, privacy, fairness and human oversight of AI powered functionality. Module outcome: Learners can prepare an evidence informed feature prioritisation plan, create a product roadmap, define success metrics and evaluate responsible AI requirements.

• Introduction3 min

Lesson slug: feature prioritisation rice moscow framework Duration: 35 minutes Preview lesson: No

• Lesson 5: Feature Prioritisation Using RICE and MoSCoW overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept4 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Lesson slug: product roadmaps metrics experiments and ai governance Duration: 35 minutes Preview lesson: No

• Lesson 6: Product Roadmaps, Metrics, Experiments and AI Governance overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept7 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Quiz description: Assess your understanding of RICE, product roadmaps, measurement frameworks and responsible AI evaluation. Passing score: 70% Allow retakes: Yes Show correct answers: Yes

• Module 3 Quiz: Product Strategy and AI Evaluation overview3 min
• Module 3 Quiz: Product Strategy and AI Evaluation overview

Before continuing, confirm that you have:

• Module 3 completion checkpoint overview3 min

Module description: Bring together all the concepts learned throughout the course to create a complete product management case study. Students will develop their problem statement, product requirements, backlog, prioritisation plan, roadmap, success metrics and responsible AI review into a professional portfolio deliverable. Module outcome: Learners can independently prepare, review and present a complete hypothetical product management case study suitable for demonstrating their product planning and analytical skills.

• Introduction3 min

Lesson slug: building product strategy and case study Duration: 40 minutes Preview lesson: No

• Lesson 7: Building a Product Strategy and Case Study overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept3 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Lesson slug: final product portfolio review and presentation Duration: 40 minutes Preview lesson: No

• Lesson 8: Final Portfolio Development, Product Review and Presentation overview3 min
• 1. Lesson introduction3 min
• 2. Clear explanation of the concept3 min
• 3. Practical example3 min
• 4. Framework, checklist, table, or worksheet3 min
• 5. Common mistakes3 min
• 6. Practice activity3 min
• 7. Key takeaways3 min

Quiz description: Evaluate your ability to review a product case study, communicate product decisions and apply responsible AI principles. Passing score: 70% Allow retakes: Yes Show correct answers: Yes

• Module 4 Quiz: Product Portfolio and Professional Practice overview3 min
• Module 4 Quiz: Product Portfolio and Professional Practice overview

Artifact title: AI Assisted Product Management Portfolio – CampusPath Submission type: Portfolio project Recommended completion: Required for course completion

• Final Module Portfolio Artifact: AI-Assisted Product Management Case Study overview3 min
• Scenario or use case3 min
• Step-by-step instructions3 min
• Student template or table to fill4 min
• Required deliverables3 min
• Quality checklist3 min
• Responsible-use or claim-safety checklist3 min
• Final reflection questions3 min

Before submitting the final portfolio, confirm that you have:

• Module 4 completion checkpoint overview3 min