diff --git a/qdrant-landing/content/blog/datatalks-course.md b/qdrant-landing/content/blog/datatalks-course.md
index f1bd10ed6..c8c312da3 100644
--- a/qdrant-landing/content/blog/datatalks-course.md
+++ b/qdrant-landing/content/blog/datatalks-course.md
@@ -25,9 +25,7 @@ Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring,
 ## 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.
+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:
@@ -51,4 +49,5 @@ Get started:
 * 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
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+* Complete homework, due June 17
+* Join the [Qdrant community](https://discord.com/invite/qdrant)
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