schema_version: 2

content_id: e79727f3-f540-4176-ae98-9b9cb42abdc7

slug: llm-zoomcamp

title: LLM Zoomcamp

current_cohort: "2026"

cohorts:

- identifier: "2026"

content: root

- identifier: "2025"

content: cohorts/2025

legacy: true

- identifier: "2024"

content: cohorts/2024

legacy: true

description: |

LLM Zoomcamp is a free, hands-on course on building real-world applications with Large Language Models. You use hosted LLMs to build, evaluate, and monitor production-style RAG systems, working through agentic RAG, vector search, orchestration, evaluation, and monitoring before finishing with a capstone project.

LLMs themselves are treated as black boxes: the course is for people who want to build with LLMs rather than train them. Each cohort runs once a year and lasts about ten weeks, and all materials stay available for self-paced study in between.

outcome: Build, evaluate, and monitor production-style LLM applications.

urls:

repository: https://github.com/DataTalksClub/llm-zoomcamp

docs: https://datatalks.club/docs/courses/llm-zoomcamp/

faq: https://datatalks.club/faq/llm-zoomcamp.html

hashtag: llmzoomcamp

published: true