AI Product Strategy: Building Future-Proof Products

Artificial intelligence is reshaping the discipline of product management, requiring product thinkers to balance emerging technological capabilities with real customer value. This course provides a structured guide to crafting modern AI strategies, helping you navigate the complexities of AI product development from ideation to scalable execution. You will gain the strategic mindset required to assess AI opportunities, define meaningful product metrics, and lead cross-functional development effectively. By exploring core concepts and practical roadmaps, you will be prepared to position your product for sustained market leadership. What you'll learn: - Understand foundational AI and machine learning concepts relevant to product management - Identify and prioritize viable AI use cases that solve genuine user problems - Evaluate modern patterns including large language models, retrieval-augmented workflows, and automation - Design robust product metrics to measure model performance and business impact - Navigate data governance, privacy considerations, and responsible AI practices - Build adaptable roadmaps that account for the iterative nature of AI development The course begins with foundational terminology and core frameworks before walking through discovery, evaluation, and long-term strategic execution. It is designed for aspiring product managers, founders, and business professionals looking to lead AI initiatives without needing a technical background. Start reading today to build a competitive, forward-looking AI product strategy.