Product Management: Leading Design, Engineering, and AI/ML Teams

Great product managers do not just write specifications; they bridge the gap between user experience, software engineering, and artificial intelligence. To build successful modern products, you must speak the language of every discipline on your team. This text-based course equips you with the foundational frameworks and communication strategies needed to lead cross-functional product teams. You will discover how to align UX designers, software developers, and data scientists around a unified product vision, while learning the essential technical concepts necessary to guide AI and machine learning initiatives. What you'll learn: - Understand the core roles and responsibilities of UX designers, software engineers, and AI/ML specialists. - Apply modern product discovery frameworks to align cross-functional teams and validate ideas early. - Manage the lifecycle of AI and machine learning products, including data requirements and basic model evaluation. - Communicate technical requirements clearly using structured product specification documents. - Practice answering common product design, technical, and behavioral interview questions through written exercises. You will start with the foundational principles of product management before exploring dedicated sections on design collaboration, engineering workflows, and machine learning product lifecycles. The course concludes with practical written scenarios designed to sharpen your product management interview skills. This course is designed for aspiring product managers, career switchers, and junior PMs looking to build their confidence leading highly technical teams. No prior programming, design, or data science experience is required. Start reading today to build the collaborative skills needed to lead modern product teams.