What you'll learn
- Execute Direct and Indirect Prompt Injection attacks to expose vulnerabilities in LLMs, RAG pipelines, and autonomous AI Agents.
- Design a robust "Defense-in-Depth" architecture to protect AI applications from malicious inputs, data exfiltration, and unauthorized actions.
- Automate AI Red Teaming and security testing using industry-standard tools like Promptfoo, Garak (NVIDIA), and PyRIT (Microsoft).
- Harden system prompts and implement input/output validation to effectively mitigate the #1 vulnerability on the OWASP LLM Top 10.
- Identify and exploit advanced AI attack vectors, including RAG knowledge base poisoning, multimodal image injection, and invisible text steganography.
- Analyze real-world AI security failures (like the GitHub Copilot RCE and Bing Chat leaks) to understand attacker mindsets and prevent costly breaches.

Requirements
- Basic familiarity with AI chatbots: You should have general experience using tools like ChatGPT, Claude, Gemini, or Copilot.
- No advanced programming skills required! The core vulnerabilities and prompt injection techniques are entirely text-based. Anyone can learn them, regardless of coding background.
- (Optional) Basic command-line knowledge: While not mandatory, basic familiarity with the terminal (using npm or pip) is helpful if you want to install and follow along with the automated Red Teaming tools in Module 6.
- A computer with an internet connection and a modern web browser to participate in the interactive, hands-on Capture The Flag (CTF) hacking exercises.
- An ethical mindset: A willingness to learn these offensive techniques strictly for defensive and educational purposes.

Description
Welcome to the ultimate guide on AI Security: Prompt Injection & LLM Defense (2026 Edition)!

Generative AI and autonomous agents are revolutionizing the world, but they share a massive, unsolved architectural flaw. According to theOWASP Top 10 for LLMs, Prompt Injection is the#1 security risk in AI today. It is the "SQL Injection of the AI era."

If you are building, testing, or deploying AI chatbots, RAG (Retrieval-Augmented Generation) pipelines, or autonomous AI agents, you need to know exactly how attackers can hijack your systems—and more importantly, how to stop them.

Designed by AI security researcher Armaan Sidana, this course takes you from absolute beginner to advanced AI Red Teamer in under 3 hours.

Forget long, drawn-out theory—this is a zero-fluff, high-impact crash course designed to make you proficient in under 90 minutes.

This isn't just a theory course. With a55% Theory / 45% Hands-On Practical split, you will actively attack AI models, bypass safety guardrails, and build enterprise-grade defense architectures.

Every lecture is concise and actionable, respecting your time and getting you to the practical skills faster.

What You Will Learn:

The Foundations of AI Security

Understand the core vulnerability of LLMs: the conflation of instructions and data.

Learn the critical differences between Prompt Injection and Jailbreaking.

Offensive Tactics: Direct & Indirect Attacks

Direct Prompt Injection:Master instruction overrides, role-playing (DAN), payload splitting, and advanced token obfuscation (Base64, Typoglycemia).

Indirect Prompt Injection:Discover how attackers hijack AI systems without ever typing a prompt—using hidden text on websites, poisoned RAG documents, and steganography in images (Multimodal attacks).

Agent & Tool-Use Exploits:Learn why AI agents with API access are incredibly dangerous and how attackers forge agent reasoning to execute unauthorized actions.

Enterprise Defense-in-Depth

Move beyond weak "system prompt" fixes.

Build a complete, layered architecture: Input validation, semantic detection models (Prompt Guard, Lakera), output filtering, and privilege separation.

Analyze real-world failures (Bing Sydney, Chevy Chatbot, GitHub Copilot RCE) to learn whatnotto do.

Automated AI Red Teaming

Scale your security testing using industry-standard automation tools.

Learn to integratePromptfoointo your CI/CD pipelines.

Scan for vulnerabilities using NVIDIA'sGarak.

Orchestrate advanced, multi-turn adversarial attacks using MicrosoftPyRIT.

Live CTF (Capture The Flag)

Put your skills to the ultimate test by hacking live AI targets like the Lakera Gandalf Guardian and the Scott Logic Sandbox.

Who Is This Course For?

Software Engineers & AI Developerswho want to build secure LLM applications, RAG systems, and AI Agents.

Cybersecurity Professionals, Pentesters, & Red Teamerslooking to upskill into the rapidly growing field of AI Security.

Product Managers & Tech Leaderswho need to understand the risks before deploying AI features to production.

AI Enthusiastswho want to know how the technologyreallyworks behind the scenes.

Prerequisites:

A basic understanding of what an LLM (like ChatGPT, Claude, or Gemini) is.

No advanced coding experience is required! The concepts are taught clearly, and the tools we use are accessible to everyone.

A Note on Total Learning Time:

While this course contains approximately 1.5 hours of high-impact, on-demand video, you should plan for a total of2.5 to 3 hoursto complete the entire learning experience. This additional time is crucial for:

Practicing alongwith the hands-on demonstrations.

Re-watchingcomplex attack and defense concepts.

Engaging fullywith the interactive Capture The Flag (CTF) challenges where you will apply your skills.

This course is designed as a practical workshop to transform knowledge into skill, and that happens when you actively participate!

Don't wait until your AI application makes headlines for the wrong reasons.

Enroll today, learn to think like an attacker, and secure your LLM applications for the future!

Who this course is for:
- Software Engineers & AI Developers: Anyone building or integrating Large Language Models (LLMs), RAG (Retrieval-Augmented Generation) pipelines, or autonomous AI agents into production applications and wanting to ensure they are secure.
- Cybersecurity Professionals & Red Teamers: Penetration testers, security analysts, and ethical hackers looking to rapidly upskill into the high-demand field of GenAI security and learn how to audit AI systems.
- Machine Learning Engineers & Data Scientists: Professionals responsible for deploying models and needing a deep understanding of how malicious actors bypass alignment and safety guardrails.
- Tech Leads, CTOs, & Product Managers: Decision-makers who need to thoroughly understand the risks, financial liabilities, and reputational damage associated with deploying AI features before exposing them to public users.
- AI Enthusiasts & Tinkerer: Anyone fascinated by the cat-and-mouse game of AI safety, "jailbreaking," and understanding how chatbots can be manipulated to break their own rules.
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