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
Stream: https://www.youtube.com/watch?v=8lgiOLMMKcY
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ
Join now or watch later in recording
YouTube
LLM Zoomcamp 2025 Pre-Course Live Q&A: A Free Online Course about Real-Life Applications of LLMs
In this live stream, we introduce our upcoming LLM Zoomсamp course, explain how you can support and access the course materials, and walk through all the logistical details: launch stream date, course start date, repository links, and Q&A mechanics. Afterward…
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👋 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,
- Follow our events
👨💻Instructors:
- Alexey Grigorev
- Timur Kamaliev
🙌 Run by DataTalks.Club, a global community of 73,000+ people who love data.
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.
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👉🏼 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.
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.
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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.
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.
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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!
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!
app.sli.do
Join Slido: Enter #code to vote and ask questions
Participate in a live poll, quiz or Q&A. No login required.
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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
Stream: https://www.youtube.com/watch?v=FgnelhEJFj0
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ
You can watch the stream later in recording
YouTube
LLM Zoomcamp 2025 Launch Stream: A Free Online Course about Real-Life Applications of LLMs
In this launch session, we walk through prerequisites, syllabus, homework, projects, timelines, and the tech stack you’ll need for the new cohort of the LLM Zoomcamp.
LLM Zoomcamp is a free online course that explores the real-life applications of LLMs.…
LLM Zoomcamp is a free online course that explores the real-life applications of LLMs.…
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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
👉 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
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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 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
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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 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!
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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!
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!
lu.ma
From REST to reasoning: ingest, index, and query with dlt and Cognee · Luma
In this hands-on workshop, we'll walk through building a knowledge graph from REST API documentation using dlt and Cognee. Rather than treating APIs as flat…
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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
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
app.sli.do
Join Slido: Enter #code to vote and ask questions
Participate in a live poll, quiz or Q&A. No login required.
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Forwarded from Open-Source LLM Zoomcamp
Stream: https://www.youtube.com/watch?v=mmUyeyAPVnU
Questions: https://app.sli.do/event/rTvJifGJFiMWadwwfnar9J
Questions: https://app.sli.do/event/rTvJifGJFiMWadwwfnar9J
YouTube
Open Source LLM Zoomcamp 2025 Pre-Course Q&A: Free Course on Fine-Tuning and Deploying LLMs
Get a first look at Open‑Source LLM Zoomcamp, our new mini Zoomcamp that teaches you how to run, serve , and fine‑tune open‑source large language models like DeepSeek‑R1, Flan-T5, and Mistral on your own GPU or free cloud GPUs.
Links:
- LLM Zoomcamp: ht…
Links:
- LLM Zoomcamp: ht…
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We're starting in a couple of minutes
Stream: https://www.youtube.com/watch?v=7pHsGGucJ4I
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ
Stream: https://www.youtube.com/watch?v=7pHsGGucJ4I
Questions: https://app.sli.do/event/hXoPWt27hc1QZJdArvX2MQ
YouTube
LLM Zoomcamp 2025: Vector Search Office Hours
Connect with DataTalks.Club:
- Join the community - https://datatalks.club/slack.html
- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2Fs…
- Join the community - https://datatalks.club/slack.html
- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2Fs…
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Schedule update
Modules 3 and 4 need a bit more polishing, so we’re pushing them back.
To keep the momentum, we’re adding a bonus livestream next week!
Date: Tuesday, 1 July
Time: 4:30 PM CET
Alexey will do a hands-on workshop on turning RAG pipelines into agentic AI flows.
What we’ll cover
- Build a basic RAG pipeline (search + prompt + LLM)
- Add agentic behaviour: decide when to search vs. answer
- Run multi-step, reasoning-driven searches
- Use OpenAI function calling and chat_assistant.py
- Streamline tools with PydanticAI
You’ll get a working assistant that
- searches the FAQ
- decides when to act
- asks follow-up questions
- updates its own knowledge base
Register here: https://lu.ma/b7p9p365
Modules 3 and 4 need a bit more polishing, so we’re pushing them back.
To keep the momentum, we’re adding a bonus livestream next week!
Date: Tuesday, 1 July
Time: 4:30 PM CET
Alexey will do a hands-on workshop on turning RAG pipelines into agentic AI flows.
What we’ll cover
- Build a basic RAG pipeline (search + prompt + LLM)
- Add agentic behaviour: decide when to search vs. answer
- Run multi-step, reasoning-driven searches
- Use OpenAI function calling and chat_assistant.py
- Streamline tools with PydanticAI
You’ll get a working assistant that
- searches the FAQ
- decides when to act
- asks follow-up questions
- updates its own knowledge base
Register here: https://lu.ma/b7p9p365
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We're starting a workshop in 30 minutes. Be prepared!
We will share the link here once we start
See you soon
We will share the link here once we start
See you soon
Telegram
LLM Zoomcamp
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…
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…
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Workshop: https://www.youtube.com/watch?v=MNt_KK32gys
Notebook: https://colab.research.google.com/drive/1vBA9OIGChcKjjg8r5hHduR0v3A5D6rmH?usp=sharing
Notebook: https://colab.research.google.com/drive/1vBA9OIGChcKjjg8r5hHduR0v3A5D6rmH?usp=sharing
YouTube
How to Ingest REST API Data & Build a Graph-Based RAG with dlt + Cognee: From Raw Docs to Reasoning
Want to move beyond plain vector search? During this workshop, AI engineer Hiba Jamal shows how to take raw CSV files and messy API documentation, pipe them through Data Load Tool (dlt), and turn everything into a query‑ready knowledge graph with Cognee.…
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We’re starting our workshop about agents in 15 minutes!
We’ll share the link here as soon as we go live.
Get ready, we begin shortly. See you soon!
We’ll share the link here as soon as we go live.
Get ready, we begin shortly. See you soon!
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