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Agentic AI in Practice

91-729

Units: 6

Description

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.

Learning Outcomes

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

1. Analyze the ethical, legal, and socio-economic implications of Agentic AI adoption.
2. Evaluate and compare regulatory frameworks.
3. Design governance and accountability structures for AI in public systems.
4. Develop policy recommendations balancing innovation and citizen protection.
5. Assess real-world feasibility and social impact.

Prerequisites Description

• Introduction to Database Management (90-728 or 90-838)