LLM Course vs 
fastai Book (fastbook)
LLM Course vs fastai Book (fastbook) compared for 2026 — features, license, ease of use, performance and which one to choose. The reference roadmap for learning LLMs vs Deep learning for coders, top-down.
Updated regularly · curated by OpenSourceAI.tech
LLM Course vs fastai Book (fastbook) at a glance
| Spec | LLM Course | fastai Book (fastbook) |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course + roadmap | Book + course |
| License | Apache-2.0 | Custom (free to read) |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Jupyter |
| Ease of use | Intermediate | Beginner |
| Best for | going from using LLMs to actually training them | coders who want results before theory |
| GitHub stars | 80.9k | 25.1k |
How LLM Course and fastai Book (fastbook) score
| Criterion | LLM Course | fastai Book (fastbook) |
|---|---|---|
| Popularity | 4.5 | 3.5 |
| Maintenance | 4.0 | 2.0 |
| Ease of use | 3.5 | 5.0 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 3.5 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
LLM Course
Maxime Labonne's course splits LLM learning into three tracks — the fundamentals, building an LLM, and deploying one — with Colab notebooks for fine-tuning, quantisation and RLHF.
- The clearest LLM roadmap that exists
- Colab notebooks you can run without a GPU
- Covers fine-tuning, quantisation and RLHF hands-on
fastai Book (fastbook)
The fast.ai book: teaches deep learning by getting you to a working model in lesson one, then peeling back the layers — the opposite of the usual maths-first approach.
- You train a real model in the first lesson
- Top-down: theory arrives when you need it
- Taught tens of thousands of practitioners
Key differences
LLM Course is course + roadmap, while fastai Book (fastbook) is book + course. Their licenses differ (Apache-2.0 vs Custom (free to read)), which matters if you ship a commercial product. LLM Course leans more intermediate-friendly, whereas fastai Book (fastbook) is more suited to beginner users. In short, LLM Course fits going from using LLMs to actually training them, and fastai Book (fastbook) fits coders who want results before theory.
Which should you choose?
Choose LLM Course for going from using LLMs to actually training them. Choose fastai Book (fastbook) for coders who want results before theory.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is LLM Course or fastai Book (fastbook) easier to use?
fastai Book (fastbook) is generally the easier of the two to get started with, while LLM Course rewards more setup with more control.
Are LLM Course and fastai Book (fastbook) free?
LLM Course is free and open source (Apache-2.0), and fastai Book (fastbook) is free and open source (Custom (free to read)). Neither charges for the core software.
Can I run LLM Course and fastai Book (fastbook) locally?
LLM Course: yes · fastai Book (fastbook): yes. Both can be used without sending your data to a third-party cloud where their setup allows.
LLM Course vs fastai Book (fastbook) — which should I pick in 2026?
Choose LLM Course for going from using LLMs to actually training them. Choose fastai Book (fastbook) for coders who want results before theory.
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