Open-Source AI · Learn AI & machine learning

LLM Course vs ML Interviews Book

LLM Course vs ML Interviews Book compared for 2026 — features, license, ease of use, performance and which one to choose. The reference roadmap for learning LLMs vs What ML interviews actually ask.

Updated regularly · curated by OpenSourceAI.tech

Choose LLM Course for going from using LLMs to actually training them. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.

LLM Course vs ML Interviews Book at a glance

Spec	LLM Course	ML Interviews Book
Category	Learn AI & machine learning	Learn AI & machine learning
Type	Course + roadmap	Book
License	Apache-2.0	Custom (free to read)
Runs locally	Yes	Yes
Primary language	Jupyter	Markdown
Ease of use	Intermediate	Intermediate
Best for	going from using LLMs to actually training them	preparing for an ML role, or checking your gaps
GitHub stars	80.9k	—

How LLM Course and ML Interviews Book score

🏆 Overall edge: LLM Course — 4.4 vs 4.0 / 5

Criterion	LLM Course	ML Interviews Book
Popularity	4.5	n/a
Maintenance	4.0	n/a
Ease of use	3.5	3.5
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

Course + roadmap · Apache-2.0

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

See the LLM Course page →

ML Interviews Book

Book · Custom (free to read)

Chip Huyen's open book on machine learning interviews: the questions companies really ask, why they ask them, and how to think about the answers.

Real questions from real companies
Explains the reasoning, not just the answer
Doubles as a checklist of what you should know

Visit ML Interviews Book →

Key differences

LLM Course is course + roadmap, while ML Interviews Book is book. Their licenses differ (Apache-2.0 vs Custom (free to read)), which matters if you ship a commercial product. In short, LLM Course fits going from using LLMs to actually training them, and ML Interviews Book fits preparing for an ML role, or checking your gaps.

Which should you choose?

Choose LLM Course for going from using LLMs to actually training them. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.

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 ML Interviews Book easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are LLM Course and ML Interviews Book free?

LLM Course is free and open source (Apache-2.0), and ML Interviews Book is free and open source (Custom (free to read)). Neither charges for the core software.

Can I run LLM Course and ML Interviews Book locally?

LLM Course: yes · ML Interviews Book: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

LLM Course vs ML Interviews Book — which should I pick in 2026?

Choose LLM Course for going from using LLMs to actually training them. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.

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