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