This crash course is designed for both engineers and product managers who want to understand how AI products are built, evaluated, and delivered in the real world. The session covers the essential skills at the intersection of product strategy and AI engineering—giving PMs the technical literacy they need and giving engineers the product context required to build impactful AI solutions. Participants will learn the core responsibilities and skillset of the modern AI Product Manager, the full AI product development lifecycle, and how to align AI capabilities with user needs and business value. The course also introduces the fundamentals of defining meaningful AI metrics, evaluating model performance, and making strategic trade-offs around data, feasibility, and user experience.

To make the learning actionable, the crash course concludes with a practical module on testing and validating AI MVPs—equipping both engineers and PMs with a shared framework for experimentation, rapid iteration, and delivering trustworthy AI-powered features. By the end of the session, engineers will understand how their technical work connects to product outcomes, and product managers will gain the clarity needed to lead AI initiatives with confidence. Together, they’ll walk away with a shared language, a practical toolkit, and a unified understanding of how to build successful AI products from concept to launch.