Hacking AI Agents: Hands-On LLM Red Teaming

About this course

This course contains the use of artificial intelligence.

Most AI security courses show slides. In this course we attack a real LLM agent. We build a deliberately vulnerable banking assistant on our own computer, then break it, harden it, and break it again. The course combines 17 concept lectures, 9 live demos, and 8 hands-on labs. In the live demos we run each attack against a local target and watch the result on screen. In the labs we reproduce the attacks ourselves with downloadable starter files. Section quizzes, assignments, and a final practice exam help us check what we learned. The lab application runs entirely on your own machine with a free local model. You need no paid API keys, no cloud account, and no real data. Every technique is practiced only against this local training target. We cover prompt injection, hidden context exposure, jailbreaks and evasion, data extraction and poisoning, vector and embedding weaknesses, agent tool abuse, defenses, and automated red teaming with garak, PyRIT, and promptfoo. The content is mapped to the OWASP Top 10 for LLM Applications 2026 and MITRE ATLAS. All techniques are for authorized security testing and education only.

Included: 17 concept lectures, 9 live demos against a local model, 8 hands-on labs with downloadable files, 8 section quizzes (47 questions), 8 assignments, and a 30-question final practice exam.

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