Full MasterClass AI, RAG, Jaibreak Red Teaming 2026

About this course

Course Description:

Artificial Intelligence and Large Language Models (LLMs) are being deployed at breakneck speed across every industry, but traditional cybersecurity methodologies are failing to secure them. You cannot use standard penetration testing tools to find behavioral vulnerabilities, hallucination exploits, or neural backdoors.

Welcome to the Full MasterClass AI, RAG, Jailbreak Red Teaming 2026—the most comprehensive, hands-on guide to offensive AI security available today.

In this cutting-edge masterclass, you will step into the shoes of a professional AI Red Teamer. Moving far beyond basic "prompt tricks," this course dives deep into the technical execution of modern adversarial AI attacks. Across 11 intensive modules and 28 fully practical, code-driven labs, you will learn exactly how to break, manipulate, and ultimately secure production-grade AI systems.

What You Will Master:

Prompt Injection & Jailbreaking: Bypass strict RLHF safety alignments using advanced techniques like Many-Shot targeting, fiction framing, token smuggling, and multi-modal (vision) injections.

RAG & Vector DB Exploitation: Exploit Retrieval-Augmented Generation pipelines. Learn to execute zero-click document poisoning, manipulate vector embeddings, and trigger Agentic SSRF (Confused Deputy) attacks to exfiltrate private data.

Adversarial Machine Learning: Dive into gradient math to execute FGSM, PGD, and Carlini & Wagner evasion attacks. Force image and text classifiers to confidently make the wrong predictions using IBM’s Adversarial Robustness Toolbox.

Data Poisoning & Backdoors: Corrupt the AI factory. Plant hidden "sleeper agents" in fine-tuning datasets and flip labels to drastically degrade model accuracy.

Model Theft & Supply Chain Attacks: Steal proprietary model we

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