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AI product discovery and strategy

For working PMs building AI features. Discovery, strategy, metrics, and working with ML engineers.

Course overview

This course goes deeper into the intersection of AI and product management. It's designed for working PMs who are already familiar with the fundamentals and want to develop specialized skills in leading AI product initiatives. You'll learn how to run discovery for AI features, build AI product strategy, measure AI product success, and navigate the unique challenges of products where AI is a core component.

Who this course is for

Working PMs who are building or planning AI features. PMs transitioning from traditional software products to AI-powered products. Product leaders responsible for AI strategy. Anyone who wants to understand how to apply product thinking to AI products rather than treating them as technology projects.

Course structure

10 units, designed for 3-4 weeks. Each unit includes a video lesson (8-10 minutes), reading material, and a practical exercise. Several units include templates you can use immediately in your work.

Units

  1. The AI product landscape: types, patterns, and opportunities
  2. Discovery for AI features: techniques that work when users can't imagine the solution
  3. Assumption mapping and risk reduction for AI products
  4. Designing for trust: the UX of AI features
  5. The build-buy-wait framework for AI capabilities
  6. Data strategy as product strategy
  7. Working with ML engineers: a PM's guide
  8. AI product metrics: the four-layer framework
  9. Experimentation and iteration for probabilistic features
  10. Building your AI product strategy on a page

Units