AI is reshaping industries and products: This book helps Product Managers understand how to use AI tools to plan, design, and deliver great products. It explains the AI stack and strategic frameworks for integrating AI features into products; how to use GenAI to perform customer discovery, market research, and prototyping; and how the Product Development Life Cycle and the Model Development Life Cycle intersect when creating AI-driven products. This is not a theoretical textbook based on research: it is a practical guide for Product Managers to learn what AI can do and how to implement AI technologies into their products. Various use cases illustrate real-life applications. Practical frameworks are presented to help make decisions about which type of AI to use, what cost structure and business model to adopt, and which key metrics to track to ensure value is delivered to customers. AI does not replace Product Managers: it expands and empowers them. Traditional Product Management practices are still important. Product Managers don't need to become data scientists by building complex data models that drive AI algorithms. With this book they will learn the foundational aspects needed to make informed decisions and work more closely with their engineering teams. By the end of this book, the reader will understand: - The different types of AI and how to choose between them - How to use AI / GenAI to augment and accelerate the PM job - The differences in building an AI product compared to a traditional software product - The relationship between the PDLC (Product Development Life Cycle) and the MDLC (Model Development Life Cycle) - How to drive the AI adoption within the organization using VSM (Value Stream Mapping) and the 21 AI Principles - How to leverage AI prompts for customer discovery, market research, and solution validation of new product ideas And the reader will be able to: - Explain what benefits AI delivers and distinguish between Accelerate, Expand, and Simplify opportunities - Work more effectively with the data and engineering teams while building an AI-powered product - Use AI tools to accelerate, expand, and simplify their job - Use the 3 Dimensions of AI Product to map the benefits of a product - Save weeks of time by using the right tools at the right moment in the PDLC - Download bonus content