Product Management for AI-Powered Products

As organizations rapidly adopt machine learning, the demand for product managers who can successfully lead artificial intelligence initiatives is higher than ever. To build successful intelligent products, you must understand how to align technical AI capabilities with real user needs. This text-based course guides you through the foundational concepts of AI product management. You will learn how to navigate the unique lifecycle of AI products, translate complex technology into clear product requirements, and collaborate effectively with data science and engineering teams. What you'll learn: - Understand the core terminology of machine learning, deep learning, and generative AI models - Define product requirements for AI features, including data collection strategies and evaluation metrics - Evaluate modern AI integration patterns, such as large language models (LLMs) and retrieval-augmented generation (RAG), for product prototyping - Manage the iterative lifecycle of AI products, from feasibility assessment to deployment and continuous monitoring - Apply frameworks for responsible AI, addressing bias, privacy, and ethical considerations in your product design You will start by mastering foundational AI concepts and terminology before exploring the specialized product development lifecycle. Through clear written explanations and practical scenarios, you will learn how to evaluate technical feasibility, manage data pipelines, and design user-centric AI experiences. This course is designed for aspiring and current product managers, business analysts, and tech professionals looking to transition into the AI space. No prior coding or data science experience is required. Start your journey into AI product management today and learn how to build the intelligent solutions of tomorrow.