Free course · Beginner → Advanced
Modern LLM Engineering From Scratch
A 17-lesson, 90-topic course on how LLMs work and how to build with them — tokens and attention through fine-tuning, RAG, agents, deployment, evaluation, and shipping real products.
- Modules
- 12
- Lessons
- 17
- Topics
- 90
- Read time
- ~5 h
17 lessons
Progress is saved in this browser only — no account, nothing sent anywhere.
Prefer to look things up? Every topic is also its own page in the LLM engineering reference — 90 entries, from tokens and attention to RAG, agents, and evaluation.
Curriculum
Foundations
What an LLM is, and what it can see.
Datasets & Training
Data is the specification.
Fine-Tuning Methods
Training on hardware you own.
Inference & Optimization
Why it's slow, and the fixes.
Local AI Ecosystem
Nine tools, one map.
RAG & Memory
Giving the model a library and a past.
Agents & Workflows
From words to actions.
Model Types
The zoo, decomposed into fundamentals.
Deployment
The five places models live.
Evaluation
Measure it, don't vibe it.
Real-World Building
The build playbooks.
The Career Layer
Bonus — converting work into leverage.