91-729 Agentic AI in Practice

6 units, Carnegie Mellon University

This interdisciplinary, project-based course explores the role of Agentic Artificial Intelligence (Agentic AI) - a collection of networked intelligent, autonomous agents powered by large language models (LLMs) - in transforming how work, governance, and decision-making are conducted across industries and public systems. Students will investigate how Agentic AI redefines workflows, functions, roles and responsibilities, while exploring the ethical, regulatory, socio-economic, risk and societal implications of these changes. Students will review key literature and cases to develop an understanding of Agentic AI solutions to address the impending shift in real-world business or public policy challenges. The course emphasizes key considerations centered around responsible governance, and critical reflection — equipping graduates to lead digital transformation initiatives responsibly in enterprise and policy contexts alike.

Prerequisites: 90-728 (min C) or 90-838 (min C)

Offered: Spring 2027, Spring 2026

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