LLM Course vs 
Prompt Engineering Guide
LLM Course vs Prompt Engineering Guide compared for 2026 — features, license, ease of use, performance and which one to choose. The reference roadmap for learning LLMs vs The reference on prompting, backed by papers.
Updated regularly · curated by OpenSourceAI.tech
LLM Course vs Prompt Engineering Guide at a glance
| Spec | LLM Course | Prompt Engineering Guide |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course + roadmap | Guide + papers |
| License | Apache-2.0 | MIT |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Markdown |
| Ease of use | Intermediate | Beginner |
| Best for | going from using LLMs to actually training them | prompting based on evidence, not superstition |
| GitHub stars | 80.9k | 76.4k |
How LLM Course and Prompt Engineering Guide score
| Criterion | LLM Course | Prompt Engineering Guide |
|---|---|---|
| Popularity | 4.5 | 4.5 |
| Maintenance | 4.0 | 4.0 |
| Ease of use | 3.5 | 5.0 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 5.0 |
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
Prompt Engineering Guide
DAIR.AI's comprehensive guide to prompt engineering: techniques, patterns, risks, and the research papers behind each of them — not folk wisdom.
- Every technique is backed by a paper
- Covers adversarial prompting and risks
- Available in many languages
Key differences
LLM Course is course + roadmap, while Prompt Engineering Guide is guide + papers. Their licenses differ (Apache-2.0 vs MIT), which matters if you ship a commercial product. LLM Course leans more intermediate-friendly, whereas Prompt Engineering Guide is more suited to beginner users. In short, LLM Course fits going from using LLMs to actually training them, and Prompt Engineering Guide fits prompting based on evidence, not superstition.
Which should you choose?
Choose LLM Course for going from using LLMs to actually training them. Choose Prompt Engineering Guide for prompting based on evidence, not superstition.
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 Prompt Engineering Guide easier to use?
Prompt Engineering Guide is generally the easier of the two to get started with, while LLM Course rewards more setup with more control.
Are LLM Course and Prompt Engineering Guide free?
LLM Course is free and open source (Apache-2.0), and Prompt Engineering Guide is free and open source (MIT). Neither charges for the core software.
Can I run LLM Course and Prompt Engineering Guide locally?
LLM Course: yes · Prompt Engineering Guide: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
LLM Course vs Prompt Engineering Guide — which should I pick in 2026?
Choose LLM Course for going from using LLMs to actually training them. Choose Prompt Engineering Guide for prompting based on evidence, not superstition.
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