AI Product Management 101

AI PM basics aren’t about memorizing algorithms — they’re about understanding what changes in the product job when models and data enter the picture. This course introduces the end-to-end AI product lifecycle: selecting meaningful use cases, working with data and ML partners, defining success metrics, and managing risks like drift, bias, and user trust. You’ll connect AI concepts to product decisions: what is feasible, what needs data investment, and how to ship responsibly. Best for PMs starting to work on AI-enabled features (or transitioning into AI product roles) who want a grounded foundation in how AI impacts discovery, delivery, and iteration.