LLM Security Training is designed for professionals who want to understand security threats affecting Large Language Models (LLMs), generative AI applications, and Retrieval-Augmented Generation (RAG) systems, and develop effective approaches to protecting these technologies.
The course begins with the fundamental operating principles of large language models and explores security risks such as prompt injection, jailbreak attacks, data leakage, and model manipulation. Participants learn to recognize potential vulnerabilities in LLM-powered applications, analyze attack scenarios, and evaluate appropriate defensive measures.
The program also covers RAG security, sensitive data protection, secure model integration, output filtering, and LLM security testing. Theoretical concepts are supported by practical laboratory exercises, helping participants develop the skills required to design, test, and manage more secure LLM-based systems.
























