The certificates are ready! You can find them in your enrollment profile (scroll down, you need to be logged in)

https://courses.datatalks.club/llm-zoomcamp-2024/enrollment

If you found the course valuable, consider donating in proportion to the value you got out of the course:

https://github.com/sponsors/alexeygrigorev

It's also possible to use your training budget you have in your company, please contact Alexey for more detail

Also, if you took part in the competition and filled in the form, you get up to 20 leaderboard points

0.95 -> 20 points
0.5 -> 10 points
if your score inbetween, it's proportional to the score

You can see your score in your leaderboard record

Thanks everyone for taking part!

We finished an article about the competition

https://datatalks.club/blog/winning-solutions-from-llm-zoomcamp-2024-competition.html

Thanks everyone for taking part and special thanks for the participants who shared their solutions

We just closed the form for project attempt #3

If you submitted it, you'll find your evaluation assignments here: https://courses.datatalks.club/llm-zoomcamp-2024/project/project3/eval

(You must be logged in)

Happy learning!

We have scored the projects for attempt #3 - congratulations to everyone who passed!

We will be generating certificates shortly

We're starting a stream in 1 hour 20 minutes

Ask your questions here: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ

We will share the link to the actual stream 5-10 minutes before the start

See you soon!

We're starting a pre-course Q&A session where we will answer your questions

Stream: https://www.youtube.com/watch?v=8lgiOLMMKcY
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ

Join now or watch later in recording

👋 Welcome to the LLM Zoomcamp!

This is the official channel for updates and key info. All future announcements will be posted right here in this channel.

LLM Zoomcamp is a free, hands-on course on real-life applications of LLMs.

Over 10 weeks, you’ll learn how to:

- Build AI systems that answer questions about your knowledge base
- Work with RAG, vector search, evaluation, monitoring & more
- Complete a hands-on capstone project

🗺️ Start Here

Register for the course | GitHub | YouTube Playlist | FAQ | Subscribe to Google Calendar

📚 Course Modules

1. Intro to LLMs and RAG
2. Vector Search
3. Evaluation
4. Monitoring
5. Best Practices
6. Bonus Project
🏁 Capstone Project

💬 Stay Connected

- Join Slack, #course-llm-zoomcamp channel
- Follow our events

👨‍💻Instructors:

- Alexey Grigorev
- Timur Kamaliev

🙌 Run by DataTalks.Club, a global community of 73,000+ people who love data.

👉🏼 LLM Zoomcamp 2025 Cohort Navigation

We're excited to welcome you to the 2025 edition of the LLM Zoomcamp!

Start date: June 2, 2025

Quick links:

- Welcome message
- Live Q&A about the course and live course launch
- Course content on GitHub (all course materials)
- LLM Zoomcamp playlist on YouTube (video materials)
- Course management platform for submitting homework
- FAQ

Announcements

1. Course launch
2. Module 1
3. Module 2
4. Data Ingestion Workshop
5. Vector search office hours
6. Schedule update and bonus module

We’ll update this post to collect all necessary announcements for 2025 cohort.

Stay tuned!

This channel is for announcements only. Join our Slack to ask your questions and collaborate with peers.

Join LLM Zoomcamp live launch tomorrow!

Date: Tuesday, May 27
Time: 5:00 PM (CET)
Register here: https://lu.ma/ei5wx9ck

Alexey Grigorev, the creator of the course, will host a live session, walking you through everything you need to know:

- What you’ll build (including your own AI bot!)
- Course structure, assignments, and how grading works
- Tips for learning even if you’re new to AI/ML
- What it’s like to learn together in our global community

Ask your questions live and get to know the team!
—
Register to receive a notification when the course is live. We’ll host the event on our YouTube Channel.

Our launch stream starts in 3 hours!

If you have already questions, you can ask them using this link

https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ

We will share the link to the stream 5 minutes before it stats

See you soon!

Starting now!

Stream: https://www.youtube.com/watch?v=FgnelhEJFj0
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ

You can watch the stream later in recording

The live stream has wrapped up, you can catch the full recording. We’ve also distilled the major insights into a brief summary for quick reading.

👉 Watch the recording
👉 Key takeaways

What’s next?
- Star our GitHub repo – it boosts visibility and helps the community grow!
- Preview Module 1 – skim the content to get a head start.
- Install Docker – make sure it’s up and running on your machine.
- Join our Slack – network with peers and ask questions as you go.

The course officialy starts on June 2, 2025.

Week 1 goals:
✅ Watch all Module 1 videos
✅ Complete Homework #1
✅ Begin exploring ideas for your capstone dataset
✅ Share your progress on social with #LLMZoomcamp

Check out 2025 cohort edition

LLM Zoomcamp 2025 has officially started!

We’re starting Module 1.

Here’s what you need to do:

- Watch Module 1 recordings: https://github.com/DataTalksClub/llm-zoomcamp/tree/main/01-intro
- Do the homework: https://github.com/DataTalksClub/llm-zoomcamp/blob/main/cohorts/2025/01-intro/homework.md
- Submit the homework before the deadline: https://courses.datatalks.club/llm-zoomcamp-2025/

Deadline: 17 June 2025, 01:00 CET (in 2 weeks)

Good luck and enjoy Module 1!

Don’t forget to share your progress with #LLMZoomcamp on social media

We’re starting Module 2: Vector Search

We’ve updated and expanded it together with Qdrant.

It now covers:

- Getting started with Qdrant (vector DB)
- Text embeddings
- Indexing and search
- RAG with vector search
- Hybrid search techniques
🔥 New hands-on notebooks

Here’s what you need to do to complete this module:

1. Go through the module content
2. Watch the videos and explore the notebooks
3. Set up Qdrant locally (optional, but recommended)
4. Do the homework
5. Submit the homework here

Deadline: 1 July, 1 AM CET (in 2 weeks)

Good luck and enjoy Module 2!

We’ve prepared a special workshop for you as part of the LLM Zoomcamp!

Join us for a live hands-on session to learn how to build a smart, always-up-to-date data pipeline for your RAG projects.

LLM Zoomcamp students: you’ll earn bonus points on the leaderboard if you submit the homework for this workshop.

Date: Monday, June 30
Time: 4:30 PM CET

In this workshop, you’ll learn how to:

- Extract data from REST APIs using dlt
- Vectorize and load it into a database
- Index it semantically with Cognee
- Handle dynamic, evolving relationships between records
- Connect everything into a portable, open-source pipeline you can run anywhere: from notebooks to Airflow, Dagster, or Mage

By the end, you’ll have a fully working ingestion pipeline that powers RAG built entirely with open-source tools.

Register here: https://lu.ma/kdp6ex5s

Looking forward to building with you!

Tomorrow (Tuesday) we will have office hours where we will talk about vector search

Jenny and Kacper will join us for the stream

Ask your questions here: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ

Time: 17:00 Berlin time

See you tomorrow! And if you can't make it, don't worry, there will be a recording