Commercializing AI in Goods and Services Product Management

As artificial intelligence transforms every industry, product managers must know how to turn raw machine learning capabilities into viable, revenue-generating goods and services. This course bridges the gap between technical AI concepts and commercial product strategy. You will develop the strategic framework needed to identify high-value AI use cases, define minimum viable products, and manage the unique lifecycle of AI-enhanced offerings. What you'll learn: - Understand foundational AI terminology, machine learning basics, and modern API integration models. - Identify profitable AI use cases across both physical goods and digital services. - Define and scope AI-driven Minimum Viable Products that balance technical feasibility with market demand. - Navigate modern data privacy, ethical AI governance, and compliance standards. - Design metrics to measure AI product performance, user adoption, and commercial success. The course begins with foundational concepts of machine learning and commercialization before guiding you through market research, product design, and scaling strategies. Through clear written explanations and real-world case scenarios, you will learn how to lead AI product initiatives with confidence. This course is designed for aspiring and current product managers, entrepreneurs, and business leaders who want to commercialize AI products. No prior technical background or programming experience is required. Start reading today to master the business side of artificial intelligence and lead your product team to commercial success.