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AI Red Teaming & LLM Hacking - A Practical Guide with Labs

AI Red Teaming & LLM Hacking - A Practical Guide with Labs

Hassan Shafiq★4.4 rating149505 enrolled

Master AI Security: AI Red Teaming & LLM Hacking - A Practical Guide with Labs Review

Looking for a free AI red teaming course to secure your large language models? This AI Red Teaming & LLM Hacking - A Practical Guide with Labs Udemy course by instructor Hassan Shafiq is a comprehensive resource for anyone wanting to learn AI security online. Updated August 2024, this course provides a hands-on approach to identifying vulnerabilities in generative AI, focusing on prompt injection and adversarial testing to help students achieve a high level of proficiency in LLM security and certification readiness.

What You'll Learn

  • Build a professional-grade AI hacking laboratory using Docker and Azure OpenAI to simulate real-world attacks.
  • Master direct prompt injection techniques to bypass AI safety filters and exfiltrate sensitive system files.
  • Implement the Crescendo Attack, a sophisticated multi-turn strategy used to steer LLMs toward prohibited outputs.
  • Analyze the OWASP Top 10 for LLMs to understand the most critical security risks facing modern AI applications.
  • Create indirect prompt injection attacks by poisoning external web content to hijack AI summaries.
  • Execute metaprompt extraction methods to force an AI to leak its internal system instructions and "secret sauce."
  • Deploy uncensored, local LLMs on a personal machine to conduct unrestricted adversarial testing without corporate filters.
  • Apply advanced guardrail bypassing techniques to defeat active defenses and adaptive AI security layers.

Course Details

  • Instructor: Hassan Shafiq
  • Rating: 4.4 stars (149,505 enrollments)
  • Level: Beginner to Advanced
  • Language: English
  • Enrolled students: 149,505
  • Certificate: Yes, upon completion
  • Includes: Lifetime access, mobile-friendly content, and practical lab exercises

What This Course Covers

Professional Lab Environment Setup

  • Manual configuration of the Microsoft AI Red Teaming Playground
  • Integration of Docker for containerized security testing
  • Setting up a Microsoft Azure account for OpenAI API access
  • Configuration of local environments for consistent hacking results

Direct Prompt Injection & Jailbreaking

  • Mastering single-turn jailbreaks to override system instructions
  • Implementing the "Grandma Exploit" and other social engineering prompts
  • Techniques for exfiltrating credentials and sensitive data from the model
  • Understanding the psychology of emotional manipulation in AI prompts

Metaprompt Extraction Techniques

  • Using deceptive logic puzzles to trick the AI into revealing its core identity
  • Applying encoding tricks to bypass output filters during data extraction
  • Strategies for stealing the "system prompt" or the AI's internal brain
  • Analyzing why certain logic-based prompts succeed where direct asks fail

The Crescendo Attack & Guardrail Bypassing

  • Executing multi-turn conversations to gradually erode AI safety alignments
  • Steering the model toward generating prohibited content, such as toxins or weapons
  • Strategies for "backtracking" when an AI resists a specific prompt direction
  • Techniques for rephrasing attacks to defeat active, real-time security guardrails

Indirect Prompt Injection & Web Poisoning

  • Poisoning external webpages using hidden HTML comments and CSS
  • Hijacking AI behavior when the model summarizes a malicious external site
  • Understanding the stealthy nature of indirect attacks compared to direct prompts
  • Real-world scenarios where indirect injection leads to data theft or unauthorized actions

Local LLM Deployment for Research

  • Installation of uncensored LLMs on local hardware for unrestricted testing
  • Comparing the behavior of filtered commercial models versus open-source local models
  • Using local models to refine attack vectors before deploying them against guarded systems
  • Managing local AI resources for optimal adversarial performance

Who Should Take This Course

  • Cybersecurity Professionals: Red teamers, penetration testers, and security analysts who need to integrate AI vulnerability assessment into their professional toolkit.
  • AI/ML Engineers & Developers: Those building LLM-powered applications who want to learn the attacker's mindset to create more robust and secure AI defenses.
  • Product Managers: Tech leaders who need to understand the tangible risks and potential exploit vectors of the AI products they are bringing to market.
  • Compliance & Governance Officers: Individuals responsible for ensuring AI systems adhere to data privacy policies and safety regulations.
  • Tech-Savvy Beginners: Anyone with basic experience using tools like ChatGPT who wants to enter the field of AI security without needing a deep coding background.

Prerequisites

  • No prior coding experience is required to begin this course.
  • Basic familiarity with using an LLM (such as ChatGPT, Claude, or Gemini) is recommended.
  • A computer capable of running Docker and a free Microsoft Azure account for the lab portions.
  • A basic understanding of general cybersecurity concepts is helpful but not mandatory.

Why Enroll in This Course

This course stands out because it moves beyond theoretical discussions and provides a 100% hands-on experience using the official Microsoft AI Red Teaming Playground. By focusing on the "process" rather than just the "solution," students learn exactly why certain prompts fail and how to iterate until a breach is successful. With a limited-time free coupon often available, this is an incredible opportunity to gain a high-demand skill set at 100% off. In the current landscape where prompt injection is the #1 risk according to OWASP, mastering these techniques is essential for any modern security professional.

Course Highlights

  • Hands-On Lab Focus: Every module is paired with a practical challenge using industry-standard tools.
  • Microsoft-Based Curriculum: Built upon the official AI Red Teaming 101 series used by professional red teams.
  • Comprehensive Attack Suite: Covers everything from simple jailbreaks to complex multi-turn Crescendo attacks.
  • Uncensored Learning: Includes specific guidance on running local models to remove the constraints of corporate AI safety.
  • Career-Ready Skills: Directly maps course outcomes to the OWASP Top 10 for LLMs, ensuring industry relevance.
  • Flexible Learning: Self-paced video content allows students to repeat complex lab steps as needed.

Frequently Asked Questions

Q: Is this course really free? A: This course is often available for free through limited-time promotional coupons provided on this platform. When you use a 100% off coupon, you receive full access to all the course materials and the final certificate without any cost.

Q: What will I learn in this AI red teaming course? A: You will learn the practical art of LLM hacking, specifically focusing on prompt injection, metaprompt extraction, and the Crescendo attack. The course teaches you how to build a hacking lab, bypass AI guardrails, and use indirect injection to hijack AI models.

Q: Do I get a certificate after completing this course? A: Yes, upon successfully completing all the video modules and requirements, Udemy provides a certificate of completion. This can be added to your LinkedIn profile to demonstrate your skills in AI security and red teaming.

Q: Is this course suitable for beginners? A: Absolutely. The instructor explicitly states that no prior coding knowledge is required. As long as you know how to interact with an AI like ChatGPT and can follow step-by-step installation guides for Docker and Azure, you can succeed in this course.

Q: How long do I have to enroll for free? A: Free coupons for Udemy courses are typically time-sensitive and limited to a certain number of redemptions. It is recommended to enroll as soon as you see the offer to ensure you secure your lifetime access before the coupon expires.

Final Thoughts

The AI Red Teaming & LLM Hacking - A Practical Guide with Labs course is an essential gateway for anyone looking to master the vulnerabilities of generative AI. By combining the official Microsoft red teaming framework with practical, uncensored labs, Hassan Shafiq provides a roadmap for securing the next generation of software. Whether you are a seasoned penetration tester or a curious beginner, this course equips you with the tools to defend AI systems by learning exactly how to break them. Start your journey into AI security today and stay ahead of the evolving threat landscape.