AI Product Management: B2B vs B2C Business Models

Artificial intelligence is transforming how businesses and consumers interact with technology, but managing an AI product requires a deep understanding of your target audience. Choosing the wrong business model can derail even the most innovative machine learning solutions before they ever reach the market. This text-only course guides you through the foundational concepts of AI product management, highlighting the critical distinctions between B2B and B2C models. You will learn how to align AI capabilities with specific customer needs, manage domain-specific data requirements, and make strategic decisions that drive product adoption. What you'll learn: 1. Understand foundational AI and machine learning terminology and how these technologies create business value. 2. Analyze the core differences between B2B and B2C customer acquisition, retention, and feedback loops in AI. 3. Map domain-specific data requirements and privacy considerations for different target audiences. 4. Evaluate modern AI patterns, including generative models and ethical AI practices, across business types. 5. Design product strategies that balance technical complexity with user-friendly interfaces. 6. Practice aligning product features with market demands through written case analysis exercises. The course begins with essential definitions of AI and business models before diving into target audience analysis, data strategy, and modern deployment considerations. You will progress through structured text lessons and practical scenarios designed to build your strategic decision-making skills. This course is designed for aspiring product managers, business analysts, and tech enthusiasts who want to enter the AI space, with no prior technical or programming experience required. Start reading today to master the strategic foundations of AI product management.