AI Security Engineer
Three tracks in sequence: ML & AI Engineering, then Agentic AI Engineering, then AI Security & Red Teaming. You cannot red-team a system you cannot build, so the first two tracks are the prerequisite for the third rather than optional background.
3 courses · Intermediate
The path, in order
- ML & AI Engineering — From Python basics to production ML and AI systems
- Agentic AI Engineering — Design, build, evaluate, and deploy production-grade AI agents
- AI Security & Red Teaming — Secure, red-team, and defend production AI systems
Optional foundations, if you are starting from zero
The path assumes you can already write Python. If you cannot, take these first.
- Programming & CS Foundations — How to think like a programmer, from zero, before any AI or math content
- Engineering Practices & Tooling — The Missing Semester for AI Engineers: git, the command line, APIs and the craft real jobs assume you have
- Data Analysis & Visualization — pandas, NumPy, and the daily skill of turning real messy data into an answer
What you become
An engineer who can audit, attack, and defend a production AI system, and write the threat model and red team report that go with it.
Roles this path prepares you for
- AI Security Engineer
- AI Red Team Engineer
- AI Security Consultant
- ML Security Specialist
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