Course ID
044059
Course Description
This course explores the theory, design, and application of autonomous AI agents in cybersecurity. Students will learn to build, train, and deploy intelligent agents for a range of cyber operations, including threat hunting, incident response, and network defense. The course emphasizes the principles of agent autonomy, multi-agent collaboration, and human-agent teaming in dynamic and adversarial environments. Through hands-on labs and a semester-long project, students will gain practical experience in developing agent-based solutions for real-world security challenges.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
Students should have an advanced Python proficiency, strong understanding of networking, security principles & operating systems, and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow), and pre-req CYBR 620 (or equivalent)
Component
Lecture
Optional Component
No