Generative AI for Product Managers: Designing AI-Driven Products

As generative AI transforms the technology landscape, product managers must understand how to leverage these powerful models to build innovative, user-centric solutions. This text-based course guides you through the fundamental concepts of artificial intelligence and shows you how to apply them directly to your product management workflow. By reading through our structured lessons, you will transition from a traditional product manager to one capable of leading AI-driven initiatives. You will gain the confidence to define AI product requirements, evaluate technical feasibility, and navigate the unique challenges of designing products powered by large language models. What you'll learn: - Understand the foundational terminology of generative AI, including tokens, context windows, and model training. - Apply prompt engineering principles to prototype AI features and write effective system instructions. - Evaluate when to use fine-tuning versus Retrieval-Augmented Generation (RAG) for your product's data needs. - Design intuitive user experiences that gracefully manage AI uncertainty, hallucinations, and latency. - Address critical ethical considerations, data privacy requirements, and bias in AI product development. The course begins with essential AI terminology and core concepts before moving into practical frameworks for product strategy, technical collaboration, and user experience design. You will explore real-world product scenarios through written explanations and conceptual exercises designed to solidify your understanding. This course is designed for aspiring and current product managers who are new to artificial intelligence and want to build a strong foundational understanding of generative AI without needing a background in coding. Start reading today to build the skills necessary to lead the next generation of AI-powered products.