Descriptions
Prompt Injection & LLM Defense (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, often called the “SQL Injection of the AI era.” This course, designed by AI security researcher Armaan Sidana, is a high-impact crash course that takes you from absolute beginner to advanced AI Red Teamer. It teaches you to understand the core vulnerability of LLMs—the conflation of instructions and data—and the critical differences between Prompt Injection and Jailbreaking. You will actively attack AI models, bypass safety guardrails, and build enterprise-grade defense architectures through a mix of theory and hands-on practice.
The curriculum covers both offensive tactics and defensive strategies. You will master direct prompt injection techniques like instruction overrides and token obfuscation, as well as indirect methods such as hijacking AI systems through hidden text, poisoned RAG documents, and multimodal attacks. The course also explores agent and tool-use exploits, explaining how attackers can forge agent reasoning to execute unauthorized actions. For defense, you will learn to build a layered architecture with input validation, semantic detection models, output filtering, and privilege separation, moving beyond weak system prompts. You will also learn to automate AI Red Teaming using tools like Promptfoo, NVIDIA’s Garak, and Microsoft’s PyRIT, and test your skills by hacking live AI targets in Capture The Flag (CTF) challenges.
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.
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.
Specificatoin of Prompt Injection & LLM Defense (2026)
- Publisher : Udemy
- Teacher : Armaan Sidana
- Language : English
- Level : All Levels
- Number of Course : 13
- Duration : 1 hours and 17 minutes
Content of Prompt Injection & LLM Defense (2026)
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.
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : Not Available
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
359 MB
