This course equips leaders with the strategy, structure, and ethical frameworks needed to guide enterprise-level AI transformation. Through hands-on labs, scenario-based analysis, and real-world roadmapping exercises, students will learn how to build product-based AI teams, define cross-functional execution plans, and scale measurable business value. Key topics include AI roadmap development, risk-tiered governance, organizational design for AI products, stakeholder alignment, and building a metrics stack that ties model-level performance to operational and executive KPIs. By combining systems thinking with human-centered insight, this course helps leaders turn AI potential into long-term strategic advantage.
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: Chief Executive Officers (CEOs); Chief Information Officers (CIOs) and Chief Technology Officers (CTOs); Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs); Chief Operating Officers (COOs); Vice Presidents and Directors of Strategy, Innovation, or Operations; Senior Managers and Consultants in Technology, Data, and Business Transformation; Business Unit Leaders and Functional Managers (e.g., Marketing, Finance, HR, Supply Chain); and Board Members and Senior Advisors.
Recommended Textbook: Skelton, M., & Pais, M. (2025). Team Topologies (2nd ed): Organizing Business and Technology for Fast Flow of Value. IT Revolution Press. ISBN 9781966280002. May be purchased at https://teamtopologies.com/book.
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