Course Description
A specialized, practical course that integrates the concepts of Artificial Intelligence (AI) and its revolutionary applications in the field of cybersecurity. It will cover the fundamentals of AI technologies such as machine learning (ML) and natural language processing (NLP), and how to employ them for threat detection, vulnerability analysis, and security incident response. It includes practical exercises using open-source AI tools and real-world case studies.
Course Objectives:
By the end of the course, participants will be able to:
Understand the role of AI in transforming cybersecurity mechanisms.
Analyze network data using classification and anomaly detection algorithms.
Develop simplified malware detection models using ML.
Use AI tools (such as VirusTotal, IBM QRadar) in security monitoring.
Evaluate ethical challenges and spoofing in "Adversarial AI" attacks.
Course Topics
Fundamentals of AI and Cybersecurity
Practical Applications of AI in Cybersecurity
Network Data Analysis
Smart Automation for Incident Response (SOAR)
Challenges and Future of the Field
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