5-day LLM foundations roadmap
FreeA structured 5-day plan to build LLM skills from foundations to a working agent.
About 5-day LLM foundations roadmap
The 5-Day LLM Foundations Roadmap is a free, open-source learning plan designed for individuals with basic machine learning knowledge who want to build a solid foundation in large language models. It provides a structured 5-day curriculum covering core topics: LLM and reasoning model foundations, prompting and context engineering, retrieval augmented generation (RAG), agents and tools, and evaluation and shipping. Each day includes curated videos and readings from top sources (e.g., Andrej Karpathy, DeepLearning.AI, Anthropic, Hugging Face), with a suggested commitment of 2–3 hours per day. The roadmap emphasizes modern LLM development practices — assembling prompting, context, retrieval, tools, and evaluation into an agent — and includes an optional advanced day on fine-tuning. Updated for 2026.
Key Features
Pros & Cons
- Well-structured, time-boxed curriculum with clear daily goals
- Curated resources from authoritative sources save time searching
- Covers modern, practical approaches (agents, evaluation, RAG)
- Free and open source, accessible via GitHub
- Updated for current best practices (2026)
- Requires basic machine learning knowledge; not for complete beginners
- Focuses on foundational concepts rather than deep dives into advanced research
- Relies on external resources; some links may become outdated over time
- Not a hands-on coding tutorial; complements practical work