---
draft: false
title: "Qdrant + DataTalks.Club: Free 10-Week Course on LLM Applications"
short_description: "Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more."
description: "Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more."
preview_image: /blog/datatalks-course/datatalksclub.jpg
social_preview_image: /blog/datatalks-course/datatalksclub.jpg
date: 2025-06-03T23:00:00Z
author: "Qdrant"
featured: false

tags:
- LLMs
- RAG
- vector search
- hybrid search
---

Want to learn how to build an AI system that answers questions about your knowledge base? 

We’re excited to announce our partnership with Alexey Grigorev and DataTalks.Club to bring you a free, hands-on, 10-week course focused on building real-life applications of LLMs. 

Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more.

**Learn RAG and Vector Search**  
In this course, you'll learn how to create an AI system that can answer questions about your own knowledge base using LLMs and RAG.

Week 1 introduces the fundamentals of LLMs and RAG. You’ll implement your first RAG pipeline to answer questions using FAQ documents.

Week 2 is where the vector search magic begins.

**What You'll Learn from Qdrant's Experts**  
Qdrant’s team will guide you through both foundational and advanced concepts in vector and hybrid search:

Evgeniya (Jenny) Sukhodolskaya, Developer Advocate at Qdrant  
→ Learn how to run locally semantic similarity search with Qdrant and [FastEmbed](https://qdrant.tech/documentation/fastembed/) (Qdrant's optimized embedding solution) as well as gain visual understanding of vector search with Qdrant's [WebUI](https://qdrant.tech/documentation/web-ui/). 

Kacper Łukawski, Senior Developer Advocate at Qdrant  
→ Dive into [hybrid search](https://qdrant.tech/articles/hybrid-search/): combining lexical and vector search for better results. You’ll also explore multi-vector search, [reranking](https://qdrant.tech/documentation/advanced-tutorials/reranking-hybrid-search/), and [late interaction models](https://qdrant.tech/articles/late-interaction-models/).

**How to Join**  
The course is 100% free and online, with all materials publicly available.

Start today\! 

[View the course](https://github.com/DataTalksClub/llm-zoomcamp).

Get started: 

* Subscribe to the [Google Calendar](https://club.us19.list-manage.com/track/click?u=0d7822ab98152f5afc118c176&id=609a460b09&e=ef9de8fba5)  
* Check [2025 cohort folder](https://club.us19.list-manage.com/track/click?u=0d7822ab98152f5afc118c176&id=0281df4dc6&e=ef9de8fba5) to stay updated  
* Save the [2025 course playlist](https://club.us19.list-manage.com/track/click?u=0d7822ab98152f5afc118c176&id=98262d0a5d&e=ef9de8fba5) on YouTube  
* Watch all Module 1 videos  
* Complete homework, due June 17