Course 01 · Beginner
Understanding & Using LLMs
What large language models actually are, how they’re trained and prompted, and how to build with them — from tokens to retrieval to evaluation. No coding experience assumed.
16 modules · self-paced · module 01 open to everyone
01
What is an LLMReading · exercise · quiz
Free
02
Tokens & embeddingsReading · 2 figures · exercise · quiz
Open
03
How attention worksReading · 2 figures · exercise · quiz
Open
04
Training & inferenceIn production
Soon
05
Prompt engineeringIn production
Soon
06
Retrieval-augmented generationIn production
Soon
07
Fine-tuning & adaptersIn production
Soon
08
Evaluation & safetyIn production
Soon
Module 01 is open now, free.
We’re building this course in the open. Module 01 is live and free, and the rest arrive through 2026.
Start Module 01 free →Where this leads, if security interests you
The CEH v13 syllabus now includes attacking AI systems directly — prompt injection, data poisoning, model evasion. Those attacks are much easier to reason about once you understand what Module 01 covers: that a model receives instructions and data as one undifferentiated stream, with no structural separation between them. Our CEH Study Desk has a full domain on it.
Open the CEH Study Desk →