AI 321: Introduces students to the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques in cybersecurity

Course Description

Introduces students to the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques in cybersecurity. The course covers how AI can be applied to detect anomalies, analyze network traffic, and identify potential security threats in real-time. Key topics include AI-driven threat detection, threat modeling, and the automation of cybersecurity processes. Students will explore defensive and offensive applications of AI, including AI-enhanced penetration testing, and anomaly detection.