Name: AI Red Teaming & LLM Hacking - A Practical Guide with Labs
Availability: InStock

What You'll Learn

Build a Pro-Level AI Hacking Lab: Get the official Microsoft AI Red Teaming Playground running locally using Docker and Azure OpenAI
nstall Uncensored Models: Go beyond the labs and learn to install and run uncensored, local LLMs for unrestricted adversarial testing.
Master Direct Prompt Injection (Challenges 1 & 7): Learn to "jailbreak" an AI to exfiltrate sensitive files, including the "Grandma Exploit"
Steal the AI's "Brain" (Challenges 2 & 8): Master Metaprompt Extraction by using deceptive logic puzzles and encoding tricks to make the AI leak its own secret
Execute the Crescendo Attack (Challenges 3, 4 & 5): Learn the most powerful multi-turn attack.
Bypass Active Guardrails : Apply advanced Crescendo techniques to defeat an AI that is actively trying to block you, learning how to adapt your attack
Poison the Well (Challenges 6, 11 & 12): Master Indirect Prompt Injection, the stealthiest attack.
Think Like an Attacker: Understand why these attacks work, how they map to the OWASP Top 10 for LLMs

Requirements

A computer that can run Docker Desktop (Windows, Mac, or Linux).
An active Microsoft Azure subscription. (A new account with free credits is sufficient).
No prior red teaming or coding experience is necessary. We will walk through everything, step-by-step.

Cybersecurity Professionals: Red Teamers, Penetration Testers, and Security Analysts who need to add AI hacking to their toolkit.
AI/ML Engineers & Developers: Learn to think like an attacker so you can build secure AI applications and defend against prompt injection.
Product Managers: Understand the real-world risks of the AI products you are building.
Compliance & Governance Officers: See firsthand how AI systems can be manipulated to violate safety and data privacy policies.
Tech-Savvy Beginners: Anyone interested in AI security. If you can use ChatGPT, you can take this course. No prior coding is required.

Information Security Professional, Network Engineer

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8 Courses

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