Merge pull request #1675 from qdrant/blog-datatalks-course

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2026-10-02 17:38:31 +02:00 · 2025-06-05 09:21:21 -04:00
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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).
+