> For the complete documentation index, see [llms.txt](https://sommercode.gitbook.io/ai-security/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sommercode.gitbook.io/ai-security/introduction.md).

# Introduction

In this GitBook, I share what I’ve learnt about AI security over time. I started with a few free introductory courses available online, including:

**Machine Learning Crash Course (Google)**

{% embed url="<https://developers.google.com/machine-learning/crash-course?hl=de>" %}

**Hugging Face LLM Course**

{% embed url="<https://huggingface.co/learn/llm-course/chapter1/1>" %}

**KI Campus – Introduction to AI**&#x20;

{% embed url="<https://ki-campus.org/lernangebote/kurse/einfuehrung-die-ki>" %}

Building on this, with the support of ChatGPT and Claude (both in the Plus/Pro versions), I have put together my own six-month training plan on the topic of AI security, based on numerous OWASP documents. The plan is divided into modules and runs over 24 weeks, requiring around 6–8 hours of work per week. The aim is to be able to carry out small research projects in the field of AI security independently.

The majority of the posts published here are taken from this training plan. No posts will be published that are exclusively AI-generated and have not been reviewed.

This GitBook can also be read as a small experiment: an example of how AI can be usefully applied in teaching and self-directed research.


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