https://github.com/DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
https://github.com/DataTalksClub/llm-zoomcamp
Last synced: 2 months ago
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LLM Zoomcamp - a free online course about building a Q&A system
- Host: GitHub
- URL: https://github.com/DataTalksClub/llm-zoomcamp
- Owner: DataTalksClub
- Created: 2024-03-26T14:53:20.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-19T14:54:45.000Z (9 months ago)
- Last Synced: 2024-10-29T15:38:40.885Z (8 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.09 MB
- Stars: 2,843
- Watchers: 61
- Forks: 457
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-llm-and-aigc - DataTalksClub/llm-zoomcamp - zoomcamp?style=social"/> : LLM Zoomcamp - a free online course about building a Q&A system. (Summary)
- awesome-llm-and-aigc - DataTalksClub/llm-zoomcamp - zoomcamp?style=social"/> : LLM Zoomcamp - a free online course about building a Q&A system. (Summary)
- AiTreasureBox - DataTalksClub/llm-zoomcamp - 06-19_3954_5](https://img.shields.io/github/stars/DataTalksClub/llm-zoomcamp.svg)|LLM Zoomcamp - a free online course about building an AI bot that can answer questions about your knowledge base| (Repos)
README
LLM Zoomcamp: A Free Course on Real-Life Applications of LLMs
In 10 weeks, learn how to build AI systems that answer questions about your knowledge base. Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more.
Join Slack •
#course-llm-zoomcamp Channel •
Telegram Announcements •
Course Playlist •
FAQ
## How to Take LLM Zoomcamp
### 2025 Cohort
- **Start Date**: June 2, 2025, 17:00 CET
- **Register Here**: [Sign up](https://airtable.com/appPPxkgYLH06Mvbw/shr7WtxHEPXxaui0Q)
- **Stay Updated**: Subscribe to our [Google Calendar](https://calendar.google.com/calendar/?cid=NjkxOThkOGFhZmUyZmQwMzZjNDFkNmE2ZDIyNjE5YjdiMmQyZDVjZTYzOGMxMzQyZmNkYjE5Y2VkNDYxOTUxY0Bncm91cC5jYWxlbmRhci5nb29nbGUuY29t)
### Self-Paced Learning
You can follow the course at your own pace:
1. Watch the course videos.
2. Complete the homework assignments.
3. Work on a project and share it in Slack for feedback.
## Syllabus
### Pre-course Workshops
- [Build a Search Engine](https://www.youtube.com/watch?v=nMrGK5QgPVE) ([Code](https://github.com/alexeygrigorev/build-your-own-search-engine))
### Modules
#### [Module 1: Introduction to LLMs and RAG](01-intro/)
- Basics of LLMs and Retrieval-Augmented Generation (RAG)
- OpenAI API and text search with Elasticsearch
#### [Module 2: Open-Source LLMs](02-open-source/)
- Running LLMs on CPUs with Ollama
- Deploying LLMs on GPUs
#### [Module 3: Vector Databases](03-vector-search/)
- Vector search and embeddings
- Indexing and retrieving data efficiently
#### [Module 4: Evaluation and Monitoring](04-monitoring/)
- Offline evaluation techniques
- Monitoring user feedback with dashboards
#### [Module 5: LLM Orchestration and Ingestion](05-orchestration/)
- Ingesting data with Mage
#### [Module 6: Best Practices](06-best-practices/)
- Hybrid search
- Document reranking
#### [Module 7: Bonus - End-to-End Project](07-project-example/)
- Build a fitness assistant using LLMs
### [Competition & Hands-on Project](project.md)
## Meet the Instructors
- [Alexey Grigorev](https://linkedin.com/in/agrigorev/)
- [Magdalena Kuhn](https://www.linkedin.com/in/magdalenakuhn/)
- [Balaji Dhamodharan](https://www.linkedin.com/in/balaji-dhamodharan-91b45615/)
- [Timur Kamaliev](https://www.linkedin.com/in/timurkamaliev/)
## Community & Support
### **Getting Help on Slack**
Join the [`#course-llm-zoomcamp`](https://app.slack.com/client/T01ATQK62F8/C06TEGTGM3J) channel on [DataTalks.Club Slack](https://datatalks.club/slack.html) for discussions, troubleshooting, and networking.
To keep discussions organized:
- Follow [our guidelines](asking-questions.md) when posting questions.
- Review the [community guidelines](https://datatalks.club/slack/guidelines.html).
## Sponsors & Supporters
A special thanks to our course sponsors for making this initiative possible!
Interested in supporting our community? Reach out to [[email protected]](mailto:[email protected]).
## About DataTalks.Club
DataTalks.Club is a global online community of data enthusiasts. It's a place to discuss data, learn, share knowledge, ask and answer questions, and support each other.
Website •
Join Slack Community •
Newsletter •
Upcoming Events •
Google Calendar •
YouTube •
GitHub •
LinkedIn •
Twitter
All the activity at DataTalks.Club mainly happens on [Slack](https://datatalks.club/slack.html). We post updates there and discuss different aspects of data, career questions, and more.
At DataTalksClub, we organize online events, community activities, and free courses. You can learn more about what we do at [DataTalksClub Community Navigation](https://www.notion.so/DataTalksClub-Community-Navigation-bf070ad27ba44bf6bbc9222082f0e5a8?pvs=21).