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. Open the module’s lessons/ directory for the lesson notes and per-lesson links.
  4. Follow the links to the video lectures.
  5. Complete the homework assignment.
  6. Check the cohorts/2026/ folder for cohort-specific homework, schedule links, and cohort recordings.

Repository structure:

  • 01-agentic-rag/ - RAG, function calling, and the agentic loop.
  • 02-vector-search/ - embeddings, semantic search, minsearch, sqlitesearch, and PGVector.
  • 03-orchestration/ - AI orchestration with Kestra.
  • 04-evaluation/ - offline evaluation of retrieval, RAG, and agent behavior.
  • 05-monitoring/ - online monitoring with PostgreSQL, Streamlit, and Grafana.
  • 06-best-practices/ - optional older material on hybrid search, reranking, and LangChain.
  • 07-project-example/ - optional end-to-end fitness assistant project example.
  • project.md - capstone project guidelines.
  • cohorts/ - cohort-specific homework, deadlines, launch links, and older materials.

YouTube

Main video links:

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

Course Platform

Use the LLM Zoomcamp 2026 course page on the course management platform. There you submit homework, track progress, and submit your project.

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

To register for the live cohort, use the LLM Zoomcamp signup form.

Slack

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

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

Telegram

Use t.me/llm_zoomcamp for LLM announcements. It is announcement-only, so questions are not monitored there and 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.

The course repo also has an asking questions guide with tips for posting useful questions in Slack.

AI Engineering Field Guide

The AI Engineering Field Guide is a companion resource by the course instructor. It is a data-driven guide to AI engineering roles, skills, and interviews, built from analyzing thousands of real job descriptions, interview experiences, and practitioner stories.

It is useful both during and after the course:

  • Project ideas. The home-assignments section collects take-home assignments from 100+ company GitHub repos. Pick one that resonates and build it as your capstone project.
  • Interview preparation. Theory, coding, project deep-dive, system design, and behavioral questions consolidated from 100+ sources, plus company-by-company interview process data.
  • Career direction. Role and skills analysis, real-world use cases, and learning paths for moving into AI engineering from data engineering, data science, or other backgrounds.