Ecuring Generative AI provides a practical, end-to-end guide to building and deploying AI systems—LLMs, RAG pipelines, agents, and more—with security at the forefront. This course teaches you how to integrate protection, governance, and risk mitigation into every stage of the AI lifecycle, ensuring that your applications remain resilient against modern threats. This course walks you through the foundational and advanced security measures required for modern generative AI systems.

You’ll examine the risks associated with large language models and their supporting infrastructure, covering topics such as prompt injection, prompt leaking, output sanitization, insecure integrations, and adversarial model interactions. You’ll also learn how to safeguard RAG systems by securing vector stores, choosing embedding models responsibly, and implementing protections around orchestration libraries such as LangChain, LlamaIndex, and similar frameworks.