Generative AI for Product Managers: Building AI-Powered Products

Product management is evolving rapidly as generative artificial intelligence reshapes how we build and scale software. To stay competitive, product managers must understand how to leverage large language models (LLMs) and integrate intelligent capabilities into their product roadmaps. This text-only course equips you with the foundational knowledge and practical frameworks needed to lead AI product initiatives confidently. You will transition from understanding basic AI concepts to designing user-centric AI features, managing prompt engineering workflows, and navigating the technical and ethical complexities of modern AI technologies. Through clear, written explanations and real-world product scenarios, you will learn how to define requirements for AI systems and align engineering teams around a shared vision. What you'll learn: - Understand the core terminology of generative AI, foundation models, and neural networks. - Apply structured prompt engineering techniques to prototype and refine AI-driven features. - Evaluate the trade-offs between fine-tuning models, using APIs, and implementing retrieval-augmented generation (RAG). - Design product roadmaps that account for AI limitations, model latency, API costs, and ethical bias. - Collaborate effectively with data scientists and developers by mastering the technical language of modern AI development. The course begins with essential AI terminology and foundational concepts before moving into practical product design, prompting strategies, and architectural patterns. You will follow a structured path that takes you from initial discovery to planning the deployment of an AI-powered feature. This course is designed for aspiring and current product managers, product owners, and business leaders who want to build AI-driven features. No prior programming or technical background is required. Start reading today to build the skills needed to lead the next generation of AI products.