Agentic AI: Autonomous Decision-Making
Agentic AI represents the next frontier of artificial intelligence, moving beyond content generation to autonomous action. This course explores how to build and manage AI agents that combine deep learning with reinforcement learning to navigate complex business environments. Students will learn how these agents perceive unstructured data (images, text, customer reviews, and video) to make high-stakes, sequential decisions without constant human intervention. We will analyze how leading-edge organizations deploy agentic workflows in resource management, such as autonomous warehouse optimization and self-correcting inventory systems, and in finance for real-time dynamic pricing. As companies shift toward autonomous operations, this course prepares business analysts and managers to design, evaluate, and lead AI agents that solve real-world problems.
Prerequisites & course information
Credit 1.5 units. Typical periods offered: Fall, Spring
Sources
- Course catalogue โ2026โ2027