The AI Cybersecurity course is an intensive 3-day training program designed to equip professionals with the knowledge and skills to secure AI systems and mitigate AI-driven cyber threats. Covering AI architecture, security risks, adversarial ML, AI-powered hacking, and security frameworks, this hands-on course includes real-world labs to enhance practical expertise. Participants will gain insights into AI-based SecOps, ethical considerations, and regulatory compliance to strengthen cybersecurity strategies.

Course Objectives:

  • Understand AI's evolution, applications in security, and ML/DL fundamentals.
  • Identify and mitigate risks in AI adoption, including ethical concerns and AI-powered attacks.
  • Analyze AI vulnerabilities, adversarial ML techniques, and red teaming strategies.
  • Explore how AI can be leveraged for both cyberattacks and security defense.
  • Implement AI security frameworks, compliance measures, and governance best practices.
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Course Outline

Architecture and Operation of AI
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  • Evolution of AI technology
  • Applying AI in Security
  • Machine Learning
  • Deep Neural Networks
  • CNN, RNN, RvNN, Transformers
  • NLP, LLM
  • Generative AI
  • LAB: Investigating Discriminative and Generative AI