| File Name: | Prompt Injection & LLM Defense (2026) |
| Content Source: | https://www.udemy.com/course/prompt-injection-llm-defense-2026/ |
| Genre / Category: | Ai Courses |
| File Size : | 345.5 MB |
| Publisher: | Armaan Sidana |
| Updated and Published: | March 3, 2026 |
Generative AI and autonomous agents are revolutionizing the world, but they share a massive, unsolved architectural flaw. According to the OWASP 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 a 55% 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 what not to do.
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