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Learning path

AI Security Engineer

Secure AI systems against injection, data leakage, misuse and excessive agency.

L3 · AdvancedtoL6 · Doctoral4 courses~9 h

What you’ll be able to do

  • Understand the LLM and agent behaviours that create attack surface.
  • Map RAG and tool-use data flows to injection, leakage and excessive-agency risks.
  • Apply the defensive risk-and-mitigation framing from the engineering course.

Your course sequence

Work through these courses in order. Each lesson links straight into the reader.

  1. 1
    AI FoundationsAbsolute Beginner~1 h

    Understand what AI is and how machines learn, no math or code required.

  2. 2
    LLM FoundationsIntermediate~2 h

    How large language models turn text into tokens, attention, and predictions.

  3. 3
    Applied LLM Systems: RAG, Agents & MCPAdvanced~3 h

    Build systems around a model: retrieve knowledge, call tools, and run agent loops.

  4. 4
    AI Systems Engineering: Run, Operate & EvaluateExpert~3 h

    Make a model fit, serve it fast, keep it working, and prove it improved.