This unit teaches how AI-focused product managers anticipate user needs, collaborate across functions, and generate responsible AI/ML use cases. Students practice ideation techniques, map role interactions, and apply ethical and feasibility frameworks to prioritize and scope AI features.
Learning Objectives
- Analyze user research, usage data, and scenario-based inputs to identify opportunity spaces and anticipate user needs for AI-enhanced product features
- Apply practical ideation techniques to generate and prioritize AI/ML use-case concepts, documenting problem statements, value propositions, and basic feasibility constraints
- Demonstrate effective cross-functional collaboration by producing a project plan or RACI-style matrix that maps interactions, responsibilities, and handoffs between AI product managers and engineering, design, data science, legal/compliance, and operations
- Evaluate responsible AI considerations for proposed use cases by assessing ethical risks, fairness, privacy, security, and technical feasibility, and produce mitigation strategies and measurable acceptance criteria
Curriculum
- 1 Section
- 6 Lessons
- 30 hours
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- Unit 4 — AI Product Management & Ideation6
- 1.1Proactive Product Management—Anticipating User Needs with AI20 mins
- 1.2How the AI-Experiences PM Interacts with Other Roles20 mins
- 1.3Responsible AI Foundations—Ethical and Feasibility Considerations20 mins
- 1.4and Key Takeaways20 mins
- 1.5Practical Ideation Techniques for AI/ML Use Cases—Thinking Like an AI-First Product Manager20 mins
- 1.6and Key Takeaways20 mins
Instructor
Free
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