Product Strategy for Generative AI: Designing Market-Ready Products

As generative AI transforms industries, product leaders must move beyond the hype to build products that solve real problems. Crafting a successful product strategy in this landscape requires a deep understanding of what AI can realistically achieve and how to align those capabilities with market demand. This course guides you through the process of defining, validating, and launching generative AI solutions. You will learn to transition from basic concepts to strategic execution, ensuring your AI initiatives deliver measurable business value. What you'll learn: - Understand foundational generative AI terminology, capabilities, and technical constraints. - Identify high-value AI use cases that align with user needs and strategic business goals. - Apply modern product discovery frameworks specifically adapted for AI-driven features. - Evaluate key architectural concepts like Retrieval-Augmented Generation (RAG) from a product perspective. - Manage product risk by addressing AI ethics, data privacy, and mitigation of model hallucinations. - Formulate a comprehensive go-to-market strategy for launching and scaling AI-powered products. The curriculum begins with essential terminology and the core mechanics of generative AI before progressing to hands-on strategic frameworks, risk assessment, and market positioning. This structured approach ensures you build a solid conceptual foundation before tackling complex strategic decisions. This course is designed for product managers, business leaders, entrepreneurs, and strategists who want to leverage generative AI in their offerings. No programming experience or technical background is required. Start shaping your organization's AI future by mastering the fundamentals of generative AI product strategy.