Resources

Course-specific links for the LLM Zoomcamp. For general zoomcamp logistics, see Zoomcamp Logistics.

GitHub Repository

The repository is your primary navigation tool throughout the course.

github.com/DataTalksClub/llm-zoomcamp

How to use it:

  1. Start in the module folder you are working on.
  2. Read the README in that folder for an overview and the list of videos.
  3. Follow the links to the video lectures.
  4. Complete the homework assignment.
  5. Check the cohort folder under cohorts/2026/ for cohort-specific homework, deadlines, and the launch-stream link.

Repository structure (roughly one folder per module):

  • 01-intro/ - Introduction to LLMs and RAG.
  • 02-vector-search/ - Vector search and embeddings.
  • 03-evaluation/ - Offline evaluation of retrieval and RAG.
  • 04-monitoring/ - Online monitoring with Phoenix.
  • 05-best-practices/ - Prompt patterns, re-ranking, query rewriting.
  • cohorts/2026/ - the active cohort’s homework and deadlines.
  • cohorts/2024/ - last year’s homework, useful as practice if you want to try ahead.

YouTube

There are two relevant playlists on the DataTalks.Club YouTube channel:

  • LLM Zoomcamp main playlist: the canonical pre-recorded module videos. Reused across cohorts.
  • LLM Zoomcamp 2026: cohort-specific recordings (launch stream, pre-course Q+A, office hours, workshops).

The 2024 cohort playlist is also still relevant - it contains the previous launch stream, office hours, and a Build Your Own Search Engine workshop whose code is reused later in the course.

For how live sessions work in general (timing, where to watch, recordings), see Live Sessions.

Course Platform

The course management platform is where you submit homework, track your progress, and submit your project. The 2026 LLM cohort’s home is the LLM Zoomcamp 2026 entry on that platform.

For the platform UI in detail, see Course Management Platform.

Slack

LLM-specific channel: #course-llm-zoomcamp in the DataTalks.Club Slack workspace.

Use this channel for all LLM-specific questions, homework discussion, and project Q+A. Use threads when replying. Don’t tag instructors. For all DTC Slack channels, see the Slack guide.

Telegram

LLM announcements channel: t.me/llm_zoomcamp. Announcement-only; questions are not monitored there. Telegram messages are auto-reposted to Slack.

Newsletter

The DataTalks.Club newsletter goes out every Monday with course announcements and community updates. Everyone who signs up for a cohort is automatically subscribed.

FAQ

The LLM Zoomcamp FAQ collects answers to module-specific and technical questions from previous cohorts. Check it before posting in Slack.

There is also a community-built bot, originally implemented by Alex Lainov, that answers questions using the public FAQ and Slack history. The link is pinned in the course Slack channel.

Community Notes

Past cohort participants contribute notes that summarize the course content. They live in the course repository, often referenced from each module’s README.

Pre-course workshop: Build Your Own Search Engine

Optional but recommended: the Build Your Own Search Engine workshop from the 2024 cohort. It walks through how a small in-memory search engine works, and the search engine it builds is reused later in the LLM Zoomcamp.

Asking for help

For tips on writing a good question (what to include, how to format errors), see the asking for help guide.

Most help requests benefit from including:

  • The exact error message.
  • A code snippet (use triple backticks for code blocks).
  • Your operating system and Python version.
  • A link to your GitHub repository so helpers see your full setup.