Best first move
Pick one educator from the table, watch one matched video, then open one hands-on resource. The aim is to leave with a working habit, project, or mental model tied to local models.
AI learning guide
Best AI resources for local models
Run open models locally and understand inference, privacy, and tradeoffs.
Quick answer
How to shortlist
Compare audience, level, format, and starting point. Favor a source that matches your current role and gives you exercises, examples, docs, or code you can use immediately.
What to avoid
Avoid collecting dozens of generic AI tips. Use this guide to choose a narrow learning loop: one topic, one educator, one video, one resource, one application in your own work.
Videos to watch
Hugging Face agents course
Hugging Face
2025 in LLMs so far
Simon Willison
Educators and sources
| Educator / source | Best for | Skills | Start with |
|---|---|---|---|
| Developers, technical generalists | LLM tools, Prompting, AI safety, Local models | Read recent LLM posts and try the llm command-line tool. | |
| Researchers, advanced builders | NLP research, Open models, Multilingual AI | Browse research posts and community programs. | |
| Developers and ML learners | Agents, Transformers, Diffusion, Open models | Take the Agents Course if you want agent basics, or the NLP/Transformers course if you need model fundamentals. | |
| Developers deploying AI workloads | Deployment, GPU workloads, AI engineering, Batch jobs | Deploy a small inference example before moving a real workload. | |
| Developers fine-tuning and deploying models | Open models, Fine-tuning, Deployment, Transformers | Pick one fine-tuning or inference guide and reproduce it end to end. | |
| Developers learning Transformer applications | Transformers, NLP, Open models, Fine-tuning | Use the book notebooks alongside the Hugging Face course. | |
| Developers running local models | Local models, LLM tools, AI engineering, Privacy | Run one small model locally and connect it to a simple app. | |
| Technical users running models locally | Local models, Inference, Quantization, AI engineering | Run a supported model locally and learn the main inference options. |
Resources
Hugging Face Agents Course
Free course · Hugging Face · Beginner to intermediate
You want a hands-on agent course that uses open-source tools.
Hugging Face NLP Course
Free course · Hugging Face · Beginner to intermediate
You need the Transformer and NLP basics behind many AI apps.
Simon Willison: 2025 in LLMs so far
Talk · Simon Willison · Beginner to advanced
You want a grounded tour of current LLM tooling and tradeoffs.
Simon Willison on LLMs
Blog · Simon Willison · Beginner to advanced
Use this when you want Simon Willison's material for llm tools and related AI skills.
Cohere For AI
Research · Cohere For AI · Advanced
Use this when you want Cohere For AI's material for nlp research and related AI skills.
Hugging Face Learn
Free courses · Hugging Face · Beginner to advanced
Use this when you want Hugging Face's material for agents and related AI skills.
Hugging Face LLM tutorials
Tutorials · Phil Schmid · Intermediate to advanced
Use this when you want Phil Schmid's material for open models and related AI skills.
NLP with Transformers
Book · Lewis Tunstall · Intermediate
Use this when you want Lewis Tunstall's material for transformers and related AI skills.
Ollama docs
Docs · Ollama · Beginner to intermediate
Use this when you want Ollama's material for local models and related AI skills.
llama.cpp examples
GitHub repo · llama.cpp · Intermediate to advanced
Use this when you want llama.cpp's material for local models and related AI skills.
Questions this guide answers
How do I learn local LLMs?
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.
Which tools should I use to run models locally?
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.
When are local models useful?
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.