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---
draft: false
title: "Qdrant + DataTalks.Club: Free 10-Week Course on LLM Applications"
short_description: "Gain hands-on experience with RAG, vector search, evaluation, monitoring, and more."
description: "Gain hands-on experience with RAG, vector search, evaluation, monitoring, and more."
preview_image: /blog/datatalks-course/datatalksclub.jpg
social_preview_image: /blog/datatalks-course/datatalksclub.jpg
date: 2025-06-05T23:00:00Z
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. 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 the course today!](https://github.com/DataTalksClub/llm-zoomcamp).