LLM Course vs 
Neural Networks: Zero to Hero
LLM Course vs Neural Networks: Zero to Hero compared for 2026 — features, license, ease of use, performance and which one to choose. The reference roadmap for learning LLMs vs Karpathy builds backprop, then GPT, from scratch.
Updated regularly · curated by OpenSourceAI.tech
LLM Course vs Neural Networks: Zero to Hero at a glance
| Spec | LLM Course | Neural Networks: Zero to Hero |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course + roadmap | Video course + code |
| License | Apache-2.0 | MIT |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Jupyter |
| Ease of use | Intermediate | Intermediate |
| Best for | going from using LLMs to actually training them | the single best way to truly understand deep learning |
| GitHub stars | 80.9k | — |
How LLM Course and Neural Networks: Zero to Hero score
| Criterion | LLM Course | Neural Networks: Zero to Hero |
|---|---|---|
| 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 | 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
Neural Networks: Zero to Hero
Andrej Karpathy's legendary lecture series: you build automatic differentiation, then a language model, then GPT — writing every line yourself, with nothing hidden.
- Widely considered the best deep learning teaching ever made
- You implement backpropagation yourself — it finally clicks
- Ends with a working GPT you wrote line by line
Key differences
LLM Course is course + roadmap, while Neural Networks: Zero to Hero is video course + code. Their licenses differ (Apache-2.0 vs MIT), which matters if you ship a commercial product. In short, LLM Course fits going from using LLMs to actually training them, and Neural Networks: Zero to Hero fits the single best way to truly understand deep learning.
Which should you choose?
Choose LLM Course for going from using LLMs to actually training them. Choose Neural Networks: Zero to Hero for the single best way to truly understand deep learning.
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 Neural Networks: Zero to Hero easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are LLM Course and Neural Networks: Zero to Hero free?
LLM Course is free and open source (Apache-2.0), and Neural Networks: Zero to Hero is free and open source (MIT). Neither charges for the core software.
Can I run LLM Course and Neural Networks: Zero to Hero locally?
LLM Course: yes · Neural Networks: Zero to Hero: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
LLM Course vs Neural Networks: Zero to Hero — which should I pick in 2026?
Choose LLM Course for going from using LLMs to actually training them. Choose Neural Networks: Zero to Hero for the single best way to truly understand deep learning.
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