Description

AI Agents and Agentic RAG for Cybersecurity Course. This course provides critical skills in cybersecurity and network optimization with a focus on artificial intelligence and advanced concepts such as RAG and intelligent agents. Participants will master the principles and practical applications of technologies such as Langchain, LangGraph, and LlamaIndex, and understand the differences between traditional RAG, RAG Fusion, and RAPTOR implementations for efficient information retrieval and processing. The course teaches how to implement RAG for dynamic information retrieval, reordering, and advanced automation in practical cybersecurity scenarios. Large Language Models (LLMs) are also used for offensive and defensive cyber operations, as well as network applications. After covering the basics of RAG, the discussion moves on to complex agent implementations using frameworks such as LangChain, AutoGen, and LangGraph. The course’s hands-on labs provide learners with the skills needed to build secure AI systems by providing real-world examples of incident response, OSINT, and ethical hacking.

What you will learn

• Master the basic concepts and practical applications of RAG, Langchain, LangGraph, and LlamaIndex.
• Compare and understand the differences between traditional RAG, RAG Fusion, and RAPTOR implementations for optimal information retrieval and processing.
• Explore case studies and practical demonstrations of advanced security and networking operations with AI.
• Implementing RAG for dynamic information retrieval, re-ranking, and advanced automation in cybersecurity and networking scenarios.
• Use of large language models (LLMs) for offensive and defensive cybersecurity operations, as well as network implementations.
• Gain practical skills for building secure AI systems with real-world examples such as incident response, OSINT, and ethical hacking scenarios.
• Use advanced agent-based frameworks such as LangChain, AutoGen, and LangGraph for complex implementations.

This course is suitable for people who:

• Cybersecurity enthusiasts who want to use artificial intelligence to optimize and automate security processes.
• Network professionals looking to deploy AI tools to improve network operations and management.
• AI developers and engineers who want to expand their knowledge of RAG and Agentic AI applications in cybersecurity and networking.
• Students and researchers in the fields of artificial intelligence, cybersecurity, and computer science.

AI Agents and Agentic RAG for Cybersecurity Course Specifications

• Publisher: Oreilly
• Instructor: Omar Santos
• Training level: Beginner to advanced
• Training duration: 5 hours and 21 minutes

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955 MB