Udemy - Hacking AI Agents - Hands-On LLM Red Teaming

Hacking AI Agents: Hands-On LLM Red Teaming

https://WebToolTip.com

Published 10/2026
Created by Dr. Amar Massoud
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 34 Lectures ( 1h 23m ) | Size: 450.2 MB

Attack and harden a real LLM agent running on your own machine. Watch each technique run live, then run it yourself.

What you'll learn
⚡ Map the attack surface of an LLM app or agent and scope an authorized engagement
⚡ Run direct and indirect prompt injection and reproduce a data leak on a live local target
⚡ Bypass safety filters with persona, encoding, multi-turn, and crescendo techniques
⚡ Chain injection, memo poisoning, and tool abuse into an unauthorized money-movement kill chain
⚡ Run extraction and poisoning attacks and write a detector for the poisoned data
⚡ Layer defenses (guardrails, context separation, tool authorization) and re-run the attacks to measure the change
⚡ Automate red teaming with garak, PyRIT, and promptfoo, and gate a build in CI
⚡ Write a red-team report mapped to OWASP LLM 2026, MITRE ATLAS, and NIST AI RMF, and follow responsible disclosure

Requirements
❗ A computer that can run a small local model (about 8 GB RAM recommended) and Python 3.11 or newer
❗ Free software only: Ollama with a small local model; Docker is optional
❗ Basic comfort with a terminal and reading short Python scripts
❗ No prior AI security experience needed; general IT or security awareness helps