Top 8 Online AI Red Teaming Courses [Free & Paid]

January 22th, 2025

5 minutes

🟢easy Reading Level

What Is AI Red Teaming?

AI Red Teaming is the practice of systematically testing AI systems to uncover vulnerabilities, biases, and security risks that could compromise their functionality, fairness, or safety. For professionals in the security or technology industries, this process is essential to ensure AI models are not only technically sound but also resilient against attacks, manipulation, and unintended behaviors. By simulating real-world threats, red teaming identifies weak points early in development, ensuring AI systems are robust, reliable, and aligned with ethical and operational standards before deployment.

Why Should I Take a Red Teaming Course?

AI Red Teaming is a valuable skill for professionals at all levels, from beginners exploring AI security for the first time to advanced practitioners tackling complex challenges. With AI playing a critical role in industries like healthcare, finance, and defense, the need for secure and trustworthy systems is growing rapidly. These courses teach practical skills like identifying vulnerabilities, applying adversarial testing, and ensuring compliance with ethical standards. No matter your background, mastering red teaming prepares you to stress-test and strengthen AI models—an in-demand expertise as AI continues to expand across industries.

Course Comparison at a Glance

CourseLevelDurationFree/PaidCertificate
AI Red-Teaming and AI Safety: MasterclassAdvanced6 weeksPaid ($1,800)Yes
Introduction to Prompt HackingBeginner-Intermediate3 days (Self-paced)Free Audit (Learn Prompting Plus)Yes
Advanced Prompt HackingAdvanced3 days (Self-paced)Free Audit (Learn Prompting Plus)Yes
Red Teaming LLM ApplicationsBeginner1 hour 19 minFreeNo
Exploring Adversarial Machine LearningIntermediate8 hoursPaid ($90)Yes
Certified AI Penetration Tester (CAIPT-RT)Beginner2 daysNot StatedYes
Machine Learning for Red Team HackersIntermediate3 hours 22 minPaid ($29.99)Yes
Red Teaming for Generative AIBeginner~2 hoursLinkedIn PremiumYes

1. AI Red-Teaming and AI Safety: Masterclass

  • Level: Advanced (designed for Cybersecurity Professionals, AI Safety Specialists, AI Product Managers, and GenAI Developers)
  • Instructors: Sander Schulhoff
  • Duration: 6 weeks
  • Free/Paid: $1,800
  • Certificate: Yes
  • Visit Course: AI Red-Teaming and AI Safety: Masterclass

This masterclass teaches you the vulnerabilities of Generative AI systems, including adversarial attacks like prompt injecting and jailbreaking, and it provides a platform to practice attacking and defending AI models. The course also covers how to build defense mechanisms and comply with security standards, and it includes a final project where you work to expose the vulnerabilities of a live chatbot or your own AI model.

2. Introduction to Prompt Hacking

  • Level: Beginner to Intermediate
  • Instructors: Sander Schulhoff and Fady Yanni
  • Duration: 3 Days (Self-Paced)
  • Free/Paid: Free audit; included with Learn Prompting Plus (access to 15 courses)
  • Certificate: Yes
  • Visit Course: Introduction to Prompt Hacking

This course explores prompt hacking, exposing hidden vulnerabilities in Large Language Models (LLMs) such as prompt injection and jailbreaking. Participants will learn ethical hacking techniques, defense strategies, and the importance of securing AI systems in real-world scenarios. Through engaging content and hands-on activities, learners gain skills to identify risks, develop safeguards, and implement robust defenses for AI systems.

3. Advanced Prompt Hacking

  • Level: Advanced (Designed for Cybersecurity Professionals, Developers, AI Enthusiasts, and Researchers)
  • Instructors: Sander Schulhoff
  • Duration: 3 Days (Self-Paced)
  • Free/Paid: Free audit; included with Learn Prompting Plus (access to 15 courses)
  • Certificate: Yes
  • Visit Course: Advanced Prompt Hacking

This course explores the forefront of prompt hacking, covering advanced exploitation techniques such as Jailbreaking, Prompt Injection, and Cognitive Hacking. Participants gain practical skills to craft sophisticated attack vectors, assess vulnerabilities, and implement defensive strategies to protect Large Language Models (LLMs).

4. Red Teaming LLM Applications

  • Level: Beginner
  • Instructors: Matteo Dora, Luca Martial
  • Duration: 1 hour 19 minutes
  • Free/Paid: Free
  • Certificate: No
  • Visit Course: Link

Learn how to identify and evaluate Large Language Model (LLM) vulnerabilities, and apply red-teaming techniques to ensure safety and reliability in the LLM. Access an open-source library from Giskard to automate red-teaming.

5. Exploring Adversarial Machine Learning

  • Level: Intermediate (experience with Python, ML, and Deep Learning)
  • Instructors: NVIDIA team
  • Duration: 8 hours
  • Free/Paid: $90
  • Certificate: Yes (upon taking an assessment)
  • Visit Course: Link

Teaches how to assess vulnerabilities in ML systems as well as in trained models, including evasion, inversion, poisoning, etc. Also teaches how to evaluate intentional and uninterntional model harm/abuse scenarios.

6. Certified AI Penetration Tester (CAIPT-RT)

  • Level: Beginner
  • Instructor: Tonex team
  • Duration: 2 Days
  • Free/Paid: Not stated
  • Certificate: Yes
  • Visit Course: Link

Learn how to conduct AI penetration tests, identify and exploit AI vulnerabilities in a red-team setting, utilize advanced techniques and systems to secure AI-based applications against attacks, and assess the security of AI models.

7. Machine Learning for Red Team Hackers

  • Level: Intermediate (familiarity with Python and blue team ML tactics)
  • Instructors: Emmanuel Tsukerman
  • Duration: 3 hours 22 minutes
  • Free/Paid: $29.99
  • Certificate: Yes
  • Visit Course: Link

Explore how to perform adversarial attacks on ML models and ML-based applcations, how to backdoor, poison and steal ML models, and how to secure ML systems against these types of attacks.

8. Red Teaming for Generative AI

  • Level: Beginner
  • Instructors: Rashim Mogha
  • Duration: ~2 hours
  • Free/Paid: Requires LinkedIn Premium subscription
  • Certificate: Yes
  • Visit Course: Link

Focuses on understanding common attack vectors in AI red teaming, accessing resources and tools and conduct red teaming, building and executing an AI red team operation, and using insights gained from red teaming to secure a model.

Conclusion

These are the top AI Red Teaming courses to help you level up your skills and stay ahead in the ever-evolving AI landscape. Whether you're a cybersecurity expert aiming to integrate AI into your workflow or a tech professional looking to pivot into this growing field, these courses offer something for every budget and experience level.

Happy learning!

Andres Caceres

Andres Caceres, a documentation writer at Learn Prompting, has a passion for AI, math, and education. Outside of work, he enjoys playing soccer and tennis, spending time with his three huskies, and tutoring. His enthusiasm for learning and sharing knowledge drives his dedication to making complex concepts more accessible through clear and concise documentation.


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