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AI Product Management
Learn to scope, build, ship, and iterate AI-powered products — from defining the right problem to measuring real impact — using frameworks trusted by top product teams.
4 sections·12 lessons
What you'll learn
1. Scoping AI Products That Actually Ship
- The AI PM Mindset: Probabilistic Thinking
- Scoping: Finding Problems Worth Solving
- Mapping the AI Problem Space
2. Data Strategy for AI Products
- Building Your Data Flywheel
- The Data Flywheel in Motion
- Data Quality, Bias, and Governance
3. Metrics, UX, and the Human Layer
- Metrics That Actually Measure AI Value
- Designing UX for AI: Trust, Transparency, and Control
- AI UX Patterns in the Wild
4. Shipping, Iterating, and Leading AI Teams
- The AI Product Launch Playbook
- AI Product Management: Knowledge Check
- Leading AI Teams and Communicating Up
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