COURSES / SELF-PACED ON UDEMY
AI Red Teaming Mastery: LLM Security, Defense & Pentesting
Build a defensive model in Python, then learn to test the systems that use it. This is where I’d start if you’re new to AI penetration testing.
Taught by Muzkkir Husseni · Basic Python recommended
Enrollment is handled on Udemy.
COURSE OUTLINE
From Python models to AI red teaming.
Learn how models fail
Connect machine learning basics to security. Set up Python and learn what to look for in data, training, and model behavior.
Build defensive models
Work through spam filtering, malware classification, and anomaly detection. Think about which mistakes matter when a model makes a security decision.
Test language models and agents
Explore prompt injection, jailbreaks, data poisoning, and agent vulnerabilities in authorized labs. Get familiar with tools such as PyRIT and Garak.
Build defenses and check them
Try guardrails, content filters, and adversarial evaluation. Use Python to repeat tests and turn observations into evidence your team can use.
This overview groups the topics by skill. The current lecture list is on Udemy.
FREE MATERIAL
See how I teach.
Watch a free walkthrough on YouTube, or open the course preview on Udemy to get a feel for the pace.