diff --git a/qdrant-landing/content/blog/datatalks-course.md b/qdrant-landing/content/blog/datatalks-course.md new file mode 100644 index 000000000..509788098 --- /dev/null +++ b/qdrant-landing/content/blog/datatalks-course.md @@ -0,0 +1,43 @@ +--- +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). + diff --git a/qdrant-landing/static/blog/datatalks-course/datatalksclub.jpg b/qdrant-landing/static/blog/datatalks-course/datatalksclub.jpg new file mode 100644 index 000000000..d6c93a0b1 Binary files /dev/null and b/qdrant-landing/static/blog/datatalks-course/datatalksclub.jpg differ