Courses

A board member asks whether the company should build its own AI model or license one. A vice president wants to know whether a chatbot pilot is worth the risk. Increasingly, these are the questions landing on leaders' desks, and most have never been trained to answer them. This course helps business leaders and decision-makers understand what AI technologies can do, where they can create value, and what successful adoption requires.

Through case studies drawn from real companies, students examine large language models, generative AI, and agentic systems, weighing what these technologies can—and cannot—do. The course explores the practical challenges of adoption, including how to govern data responsibly, structure teams around new capabilities, and design organizations for AI-enabled work. Technical concepts are introduced through short pre-course readings, freeing class time for applied discussion and exercises. Students leave prepared to identify AI opportunities, design an early pilot, and brief their teams on key trade-offs.