Generative AI for Beginners vs 
LLMs from Scratch
Generative AI for Beginners vs LLMs from Scratch compared for 2026 — features, license, ease of use, performance and which one to choose. Build generative AI apps, lesson by lesson vs Build a GPT from nothing, line by line.
Updated regularly · curated by OpenSourceAI.tech
Generative AI for Beginners vs LLMs from Scratch at a glance
| Spec | Generative AI for Beginners | LLMs from Scratch |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course (21 lessons) | Book + code |
| License | MIT | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | Python |
| Ease of use | Beginner | Intermediate |
| Best for | developers who want to ship an LLM app, fast | genuinely understanding how an LLM works |
| GitHub stars | 112.9k | 99k |
How Generative AI for Beginners and LLMs from Scratch score
| Criterion | Generative AI for Beginners | LLMs from Scratch |
|---|---|---|
| Popularity | 5.0 | 4.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 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
Generative AI for Beginners
Microsoft's 21-lesson course on building with generative AI: prompt engineering, RAG, agents, fine-tuning and responsible AI — each lesson with runnable code.
- The most practical GenAI course available free
- Covers RAG and agents, not just prompting
- Updated as the field moves
LLMs from Scratch
Sebastian Raschka's companion repository to "Build a Large Language Model (From Scratch)": you implement attention, a transformer, pretraining and fine-tuning yourself, in plain PyTorch.
- You build every component yourself — no black boxes
- Runs on a laptop, no cluster needed
- The clearest explanation of attention anywhere
Key differences
Generative AI for Beginners is course (21 lessons), while LLMs from Scratch is book + code. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. Generative AI for Beginners leans more beginner-friendly, whereas LLMs from Scratch is more suited to intermediate users. In short, Generative AI for Beginners fits developers who want to ship an LLM app, fast, and LLMs from Scratch fits genuinely understanding how an LLM works.
Which should you choose?
Choose Generative AI for Beginners for developers who want to ship an LLM app, fast. Choose LLMs from Scratch for genuinely understanding how an LLM works.
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 Generative AI for Beginners or LLMs from Scratch easier to use?
Generative AI for Beginners is generally the easier of the two to get started with, while LLMs from Scratch rewards more setup with more control.
Are Generative AI for Beginners and LLMs from Scratch free?
Generative AI for Beginners is free and open source (MIT), and LLMs from Scratch is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Generative AI for Beginners and LLMs from Scratch locally?
Generative AI for Beginners: yes · LLMs from Scratch: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Generative AI for Beginners vs LLMs from Scratch — which should I pick in 2026?
Choose Generative AI for Beginners for developers who want to ship an LLM app, fast. Choose LLMs from Scratch for genuinely understanding how an LLM works.
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