Product Management for Selling AI Products and Solutions

Bringing artificial intelligence to market requires more than just great code; it demands a clear understanding of how to translate complex data capabilities into tangible business value. Many AI initiatives struggle not because of technical failures, but because of a gap between product development and commercial strategy. This text-only course equips you with the fundamental product management skills needed to successfully position, pitch, and sell AI solutions. You will transition from understanding basic machine learning concepts to confidently aligning data strategies, managing cross-functional teams, and articulating ROI to both customers and organizational leadership. What you'll learn: Understand foundational AI terminology, machine learning lifecycles, and modern generative AI capabilities; Align data acquisition and model training strategies with actual customer pain points and business goals; Translate complex technical metrics into clear, value-driven language for non-technical stakeholders and buyers; Manage development uncertainty by setting realistic performance expectations with customers; Apply ethical AI principles and address data privacy concerns during the product positioning phase; Design clear value propositions that justify the unique costs and infrastructure of AI-driven solutions. The course starts with essential definitions and foundational AI concepts before guiding you through data strategy alignment, stakeholder communication techniques, and practical written exercises to structure your product pitches. This course is designed for aspiring product managers, sales professionals, and business leaders new to the AI space, requiring no prior programming or technical background. Read through our structured lessons to build the commercial confidence needed to drive AI product success today.