AI Product Management: Building & Scaling AI-Powered Products

About the Course:

This course provides an end-to-end, practitioner-focused introduction to building, launching, and scaling AI-powered products. Participants learn how AI products differ from traditional software, how to identify high-value AI opportunities, and how to translate business problems into data-driven solutions. The course covers the full AI product lifecycle, including data strategy, model development, experimentation, deployment, monitoring, and responsible AI practices.

Through real-world case studies and hands-on workshops, learners develop practical skills in AI product design, metrics definition, human-centered AI, and go-to-market strategy.

Course Objectives:

By the end of this course, participants will be able to:

• Identify and prioritize AI use cases using structured problem framing and business value analysis.
• Design AI products across the full lifecycle, from data strategy to deployment and iteration.
• Translate business requirements into ML-aware product specifications and success metrics.
• Apply experimentation, monitoring, and responsible AI practices to production systems.
• Develop scaling and monetization strategies for AI-enabled products.

Who is the Target Audience?

• Product Managers and Product Owners
• Digital Transformation Leaders
• Startup founders and innovation managers
• Business analysts and technical program managers
• Engineering leaders transitioning into AI initiatives

Basic Knowledge:

• General understanding of software products or digital systems
• Basic familiarity with business metrics and user-centered design
• No prior machine learning experience required