llm-course
by Community
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
OSS
llm-course
Added 1 June 2026
Overview
Open-source learning resource that teaches LLM fundamentals through structured roadmaps and executable Colab notebooks. Covers theory and hands-on practice without requiring local setup. Community-maintained with 79k+ GitHub stars.
Best for
Best for
Developers new to LLMs seeking structured, hands-on learning without infrastructure setup
Use cases
- Learning LLM architecture and training from scratch
- Running experiments in Colab without GPU hardware
- Following a guided path from basics to advanced topics
Notes
Open-source learning resource that teaches LLM fundamentals through structured roadmaps and executable Colab notebooks. Covers theory and hands-on practice without requiring local setup. Community-maintained with 79k+ GitHub stars.
79,792 stars on GitHub. Last updated 2026-02-05. Licensed Apache-2.0.
Use cases
- Learning LLM architecture and training from scratch
- Running experiments in Colab without GPU hardware
- Following a guided path from basics to advanced topics
Pros
- Free and no local environment needed (Colab-based)
- Well-organized roadmap structure for self-paced learning
- Active community project with significant adoption
Cons
- Community-maintained, no commercial support or guarantees
- Colab notebooks have compute and runtime limits
- May lag behind latest LLM developments
Indexed from awesome-llm and enriched against its public facts.
Pros
- Free and no local environment needed (Colab-based)
- Well-organized roadmap structure for self-paced learning
- Active community project with significant adoption
Cons
- Community-maintained, no commercial support or guarantees
- Colab notebooks have compute and runtime limits
- May lag behind latest LLM developments
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