AI Red Teaming Mastery: LLM Security, Defense & Pentesting

About this course

This course is designed to take you beyond theory and into real, hands-on AI security and red teaming.

AI systems are rapidly being integrated into real-world applications—but most professionals still don’t understand how these systems can be attacked, manipulated, or secured. In this course, you will learn exactly that.

We start with the foundations of AI in cybersecurity, Python for machine learning, and how modern ML systems operate in security environments. From there, you will build practical defensive systems such as spam detection, malware classifiers, anomaly detection, and fraud detection pipelines using real datasets.

As you progress, you will move into LLM and AI system security—working with tools like HuggingFace, local LLMs, and AI pipelines. You will learn how these systems function, where they fail, and how attackers exploit them.

The course then shifts into red teaming. You will perform real attack techniques including prompt injection, jailbreaking, data poisoning, adversarial attacks, and AI system exploitation. You will also explore AI-powered penetration testing, OSINT, and autonomous agent vulnerabilities—skills that are increasingly in demand.

By the end of this course, you will be able to build, attack, and secure AI systems with a practical, real-world mindset.

This is a continuously evolving course, with new content added regularly. Enroll early to get lifetime access to all future updates as the course expands.

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