Learn AI Security Fundamentals Full Course

AI is transforming cybersecurity, but securing AI systems is a unique challenge. In this full course session, InfosecTrain breaks down the core differences between securing with AI and securing AI itself. Discover AI/ML foundations, blue and red team defense tactics, MLOps, API security, and practical threat modeling techniques to future-proof your security career.

The "course titled" Practical AI Security Engineering Program provides hands-on expertise to defend AI pipelines.

📘 What You’ll Learn:

• Securing with AI vs. Securing AI: Distinguishing between AI-assisted defense tools and direct protection of ML architectures.

• Foundational Architecture: Navigating Machine Learning, Deep Learning, LLMs, transformers, and autonomous Agentic AI pipelines.

• End-to-End AI Security Controls: Implementing robust guardrails across model training, data streams, APIs, and MLOps CI/CD pipelines.

• Offensive Red Teaming & Demos: Practical threat modeling, AI red teaming tactics, kill switches, and MITRE ATT&CK network mapping.

• Emerging Career Pathways: Exploring high-demand roles across AI red teaming, LLM security engineering, and enterprise AI governance.

  
  

🎧 Essential listening for SOC analysts, security engineers, penetration testers, red teamers, architects, and GRC leads expanding into AI defense.

Watch Video here: https://www.youtube.com/watch?v=jdlwCoJuTEM