AGENTIC AI AND INTELLIGENT AGENTS

Catalog description

In this course, students explore the principles and real-world applications of agentic artificial intelligence (AI) and intelligent agents. They learn fundamental concepts such as agent architectures, reinforcement learning, planning, and multi‑agent systems, and examine how large language models can be integrated into autonomous agents. Through hands‑on projects, students design, implement, and evaluate intelligent agents capable of solving tasks and interacting in dynamic environments. Students also consider the ethical and societal implications of agentic AI and intelligent agents. Prerequisites: COMP1050 or COMP3125 (4 credits) fall, spring