AI for Product Managers

In about two hours it covers understanding ML system design well enough to scope realistic features, writing effective AI product briefs, and evaluating model performance. That's precisely the PM's gap right now: enough technical fluency to make good calls on AI features and call bluff on impossible ones, which is timely and genuinely useful. It's not for people who want to build ML themselves or want a deep technical course.

As with its siblings, it's free and self-paced through Product School's email campaigns, and not the same as their $3,999-plus flagship certificates. Take it as a quick, credible skill top-up, and since AI moves fast, treat the specifics as current at the time you take it (as of 2026).

AI for Product Managers covers the skills PMs need to work on AI-powered products: understanding ML system design well enough to scope realistic features, writing effective AI product briefs, evaluating model performance metrics from a product perspective, managing AI experimentation cycles, and addressing bias, fairness, and safety in AI products. It doesn't require engineering knowledge but teaches PMs how to be effective partners with ML engineers.