AI Security Masterclass: LLMs, Agents & Cyber Defense

About this course

AI Security Masterclass: LLMs, Agents & Cyber DefenseArtificial Intelligence is transforming cybersecurity — but it is also creating an entirely new generation of security threats. Are you prepared to secure AI systems and defend against AI-powered attacks?

The course explores AI technologies, security risks, and defensive practices through structured learning materials, technical explanations, and real-world case studies.

Welcome to AI Security Masterclass: LLMs, Agents & Cyber Defense, a comprehensive course designed to help cybersecurity professionals, AI engineers, security architects, IT auditors, and technology leaders understand, assess, and mitigate the rapidly evolving security risks associated with Artificial Intelligence.

As organizations increasingly adopt Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), autonomous AI agents, and AI-powered applications, traditional cybersecurity controls alone are no longer sufficient.

AI introduces unique attack surfaces, including prompt injection, model manipulation, data poisoning, adversarial machine learning, excessive agency, insecure MCP integrations, and autonomous cyberattacks.

This course provides a structured, practical approach to understanding these threats and implementing effective defense strategies.

This course contains the use of artificial intelligence.

What You Will Learn

Throughout 16 comprehensive sections and 48 lectures, you will explore:

• AI Security Fundamentals: Understand the architecture, assets, attack surfaces, and unique security challenges of modern AI systems.

LLM Security and Prompt Injection: Identify and mitigate prompt injection, jailbreaks, indirect attacks, sensitive data exposure, and malicious instructions.

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