AI and Machine Learning for Product Management

Incorporating machine learning and modern artificial intelligence into your product lifecycle is essential for delivering competitive, high-impact user experiences. This text-based course equips product managers and leaders with the conceptual frameworks, strategic methodologies, and evaluation techniques needed to design and deliver intelligent features. What you'll learn: - Understand foundational AI and machine learning terminology, capabilities, and constraints - Identify viable product opportunities where predictive models and generative AI deliver measurable value - Define success metrics, performance benchmarks, and evaluation criteria for AI-driven features - Apply modern integration patterns such as retrieval-augmented generation and prompt workflows to product roadmaps - Collaborate effectively with data science and engineering teams throughout the delivery lifecycle - Manage ethical considerations, data privacy, and risk governance in automated systems Starting with fundamental definitions and data concepts, the curriculum advances through opportunity validation, product framing, and post-launch monitoring. This course is designed for product managers, team leads, and aspiring product leaders, with no prior coding or data science experience required. Begin reading today to strengthen your product strategy with AI.