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

• Start Date: June 2, 2025, 17:00 CET
• Register Here: Sign up

2025 cohort checklist:

• Subscribe to our Google Calendar
• Check 2025 cohort folder to stay updated
• Watch live Q&A about the course
• Watch live course launch stream
• Save the 2025 course playlist on YouTube
• Check course content by navigating to the right module on GitHub
• Share this course with a friend!

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.

• Build a Search Engine (Code)

• Basics of LLMs and Retrieval-Augmented Generation (RAG)
• OpenAI API and text search with Elasticsearch

• Vector search and embeddings
• Indexing and retrieving data efficiently
• Using Qdrant as the vestor database

• Using dlt for ingesting data for RAG

• Adding Agentic functionality to RAG
• Function calling

• Search evaluation
• Online vs offline evaluation
• LLM as a Judge

• Online evaluation techniques
• Monitoring user feedback with dashboards

• Hybrid search
• Document reranking

• Build a fitness assistant using LLMs

Put eveything you learned into practice

• Alexey Grigorev
• Timur Kamaliev

Join the #course-llm-zoomcamp channel on DataTalks.Club Slack for discussions, troubleshooting, and networking.

To keep discussions organized:

• Follow our guidelines when posting questions.
• Review the community guidelines.

A special thanks to our course sponsors for making this initiative possible!

Interested in supporting our community? Reach out to [email protected].

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