The Hands-On AI Product Manager: A Practical Course to Discover, Design, Build, Evaluate, Launch, and Scale AI Products - Tapa blanda

Sinopsis

An impressive AI demo is not the same as a product you can trust. The Hands-On AI Product Manager is a structured, practical course for Product Managers who want to lead AI products from problem discovery through production. Across 35 chapters, work through predictive machine learning, LLMs, context engineering, retrieval-augmented generation, AI experiences, tools and agents, evaluation, responsible design, launch, and unit economics. The emphasis is not on memorizing vendor features. It is on making sound product decisions. The course includes 89 original teaching figures, worked cases, decision challenges, writable portfolio artifacts, and explained answers. Build an AI PRD, architecture decision, evaluation plan, risk register, launch memo, and operating business case. Four fictional products keep the learning connected. RetentionAI teaches prediction and intervention. Atlas teaches authorized knowledge and generative systems. Resolve teaches controlled actions. Harbor brings the course together in a 40-page capstone where weak evaluation segments, changing costs, and security restrictions force you to revise your recommendation. The core Product Track requires no coding or paid AI subscription. Optional Builder Track exercises deepen your understanding through safe experiments and mock systems. The book is designed for readers who already understand conventional product management and want stronger AI product judgment. Learn the mechanism. Make the decision. Build the evidence. Defend the trade-off.

"Sinopsis" puede pertenecer a otra edición de este libro.