Large Language Models Course
by Community
Practical course about Large Language Models.
OSS
Large Language Models Course
Added 3 Sept 2026
Overview
A practical course on large language models, delivered as Jupyter notebooks. It is categorized under orchestration and has 1,822 GitHub stars.
Best for
Best for
Developers who prefer learning by running notebook examples
Use cases
- Learning LLM concepts through hands-on notebooks
- Following structured examples for LLM orchestration
- Referencing community-curated course material
Notes
1,822 stars on GitHub. Last updated 2026-05-28. Licensed MIT.
Pros
- Free and open source
- Practical, notebook-based learning
- Community validated with 1,800+ stars
Cons
- Jupyter Notebook format, not a production library
- Community-maintained, no official support
- Limited to course content, not a tool or framework
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Anthropic courses
Various
Anthropic's educational courses
OpenAI Cookbook
Various
Examples and guides for using the OpenAI API
Prompt Engineering Guide
Various
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Awesome ChatGPT Prompts
Community
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.