AI Product Management: Strategy, Roadmaps and Growth

This course contains the use of artificial intelligence.

Artificial intelligence creates value when it improves a real decision, workflow, or customer outcome. AI Product Management: Strategy, Roadmaps and Growth provides a structured system for professionals who want to make faster product decisions while keeping customer evidence, strategic trade-offs, and responsible judgment at the center.

This course is designed for product managers, founders, innovation leaders, business analysts, and cross-functional teams. It moves beyond disconnected prompts and tool demonstrations. Students learn how to define outcomes, organize evidence, design practical workflows, evaluate quality, preserve human accountability, and connect AI activity to measurable results.

Across five substantial lectures, Dr. Law Payne explains the strategic logic and practical execution of AI Product Management. Every lecture includes a decision framework, a continuing business case, quality controls, implementation guidance, and an assignment that learners can apply to an organization, client, career, or business.

The course emphasizes responsible practice. Students learn where AI can accelerate research, analysis, generation, and coordination, as well as where privacy, bias, accuracy, security, or reputation require stronger safeguards. The aim is not maximum automation. The aim is better performance with visible ownership.

Dr. Law Payne is a business educator, growth strategist, nine-figure entrepreneur, published author, and Doctor of Business Administration specializing in Organizational Leadership and Development. His experience includes more than one billion dollars in managed sales and more than fifteen years of teaching, coaching, and mentoring across business, psychology, leadership, fitness, and education.

By the end of the course, students will have a working AI Product Management operating system and a ninety-day plan for disciplined implementation.