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Maddie Duhon
2025-06-04 07:06:48 -04:00
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qdrant-landing/content/blog/datatalks-course.md
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@@ -5,7 +5,7 @@ short_description: "Gain hands-on experience with LLMs, RAG, vector search, eval
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
date: 2025-06-04T23:00:00Z
author: "Qdrant"
featured: false
@@ -22,14 +22,14 @@ We’re excited to announce our partnership with Alexey Grigorev and DataTalks.C
Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more.
**Learn RAG and Vector Search**
## 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**
## 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
@@ -38,7 +38,7 @@ Evgeniya (Jenny) Sukhodolskaya, Developer Advocate at Qdrant
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**
## How to Join
The course is 100% free and online, with all materials publicly available.
Start today\!