# DataTalksClub/llm-zoomcamp

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

Repository: https://github.com/DataTalksClub/llm-zoomcamp
Canonical: https://ross.abutalabs.com/products/llm-zoomcamp
Homepage: https://courses.datatalks.club/register/llm-zoomcamp/
Language: Jupyter Notebook
License Family: other
Last push: 2026-08-25T08:24:38+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 63
- inputs: {"age_days": 890, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7125, forks 1313 (observed 2026-08-28T04:09:56.042171+00:00)

## What it is
LLM Zoomcamp is a free, open-source 10-week online course by DataTalks.Club on building real-life LLM applications, including RAG, vector search, agents, and monitoring. The repository contains hands-on Jupyter Notebook course materials, lectures, and cohort projects.

## Use cases
- learn how to build a RAG system over a knowledge base
- free course on building LLM applications
- learn vector search and embeddings for question answering
- build an AI assistant that answers questions about your documents
- learn to evaluate and monitor LLM applications
- hands-on introduction to AI agents and function calling

## When to choose
- you want a structured, free, hands-on course covering RAG and LLM app development
- you know Python and want to build a production-ready AI assistant over your own knowledge base
- you are a software engineer, data engineer, or ML practitioner adding LLM capabilities to products

## When to avoid
- you need production software or a library to ship, not course material
- you want a formal certification or paid instructor support
- you are a complete beginner without Python and command-line experience

## Facets
- artifact type: learning-resource
- maturity: active
- function: rag, llm-inference, agent-framework, vector-database, search-engine, machine-learning
- domain: large-language-models, tutorials, education, machine-learning
- platform: python, cross-platform
- tags: free-course, online-course, jupyter-notebooks, vector-search, embeddings, function-calling, evaluation, monitoring, hybrid-search, reranking, datatalks-club, retrieval-augmented-generation, ai-agents

## Member repositories
- DataTalksClub/llm-zoomcamp (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:56.042171+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:04.597873+00:00, confidence not recorded.
  - readme: https://github.com/DataTalksClub/llm-zoomcamp (fetched 2026-08-28T04:09:56.042171+00:00, sha fd300f4160c0)
  - homepage: https://courses.datatalks.club/register/llm-zoomcamp/ (fetched 2026-08-29T08:35:34.968326+00:00, sha 8bcb4c98f700)
- Data as of 2026-08-30T08:39:29.467469+00:00.