Udemy – How to use AI and LLMs for Offensive and Defensive Security 2024-11

Published on: 2024-12-18 17:50:57

Categories: 28

Description

How to use AI and LLMs for Offensive and Defensive Security. This course teaches you how to use artificial intelligence and large language models (LLMs) for security purposes, both in cyberattacks (defensive) and in defense against them (offensive). Martin Volk, the instructor of the course, is a cybersecurity expert with 25 years of experience and holds many prestigious certifications in this field. He works as a consultant for a large technology company and has participated in vulnerability discovery programs and identified thousands of critical and serious vulnerabilities. The course is a combination of theoretical and practical parts, and the training videos are designed to be easy to follow and repeat.

What you will learn in the How to use AI and LLMs for Offensive and Defensive Security course:

Introduction to AI models and user interfaces: Learn how to work with different AI models and configure them on the local system.
The most common large language models: Introduction to the most popular existing models and their features.
Privacy: Understand the importance of privacy when working with data and AI models.
RAG (Retrieval Augmented Generation): Learning techniques to improve the responses of language models using external information.
Different user interfaces: Work with different tools like Open WebUI, jan ai, lmstudio, and Ollama to interact with AI models.
Prompt Engineering: Learn techniques for designing appropriate questions and prompts to get the best results from AI models.
Different types of prompts: Familiarity with concepts such as Zero-shot, few-shot, Chain of Thought, and System Prompts.
Build custom bots: Create conversational bots with customized capabilities.
Prompt leaks and bypassing restrictions: Understand the risks of exposing sensitive information in prompts and how to deal with them.
Troubleshooting and API Usage: Learn how to fix common issues and use AI model APIs to develop applications.
Yolo, Fabric, and LLM CLI Tools: Learn about useful tools for working with AI models.
Using artificial intelligence in cyberattacks: Creating intrusion bots and attack samples.
Using artificial intelligence in cyber defense: creating defense bots and security incident response tools.

This course is suitable for people who:

They are interested in how artificial intelligence and large language models are used in cyberattacks.
They are interested in how artificial intelligence and large language models are used in cyber defense.
They operate in the field of infiltration and red teams.
They work in the field of security engineering and water teams.