AI for Product Management: Strategy, Tools, and Workflows

Artificial intelligence is transforming how modern digital products are conceived, built, and scaled. This course equips product managers with the foundational knowledge and practical frameworks needed to lead AI-driven initiatives with confidence. You will start by understanding core concepts and key terminology before exploring how AI alters product strategy, feature prioritization, and team collaboration.\n\nWhat you'll learn:\n- Understand fundamental artificial intelligence terminology, capabilities, and system architectures relevant to product leadership\n- Apply generative AI workflows and structured prompt engineering to accelerate user research, competitor analysis, and product documentation\n- Define clear problem statements, feasibility metrics, and success criteria for AI-powered features\n- Evaluate data requirements, technical trade-offs, and integration patterns across the product lifecycle\n- Manage model risks, bias, ethical considerations, and user trust in AI products\n\nThe curriculum begins with essential definitions and foundational principles, progressively advancing through realistic product scenarios, written case analyses, and practical planning frameworks. This course is designed for aspiring and practicing product managers, project managers, and business analysts seeking a clear, accessible entry point into artificial intelligence without requiring prior coding experience. Begin reading today to modernize your product management toolkit.