Merge pull request #2096 from qdrant/qdrant-certification

Qdrant Academy Certification Launch
2026-10-03 01:48:32 +02:00 · 2026-01-27 16:38:40 -08:00
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+---
+title: "Qdrant Academy Expands with Official Certification"
+draft: false
+slug: qdrant-certification-launch
+short_description: "Qdrant Academy launched with first course, Qdrant Essentials"
+description: "Master the art of production-grade retrieval with Qdrant Academy’s new certification. Earn credentials, score exclusive swag, and level up your engineering skills."
+preview_image: /blog/qdrant-certification-launch/hero-graphic.png
+social_preview_image: /blog/qdrant-certification-launch/hero-graphic.png
+date: 2026-01-28
+author: Neil Kanungo
+featured: true
+tags:
+- Community
+- Academy
+---
+
+Since we first announced **[Qdrant Academy](https://qdrant.tech/course/)**, our mission has been to provide developers with more than just documentation. We wanted to build a structured path to mastering vector search. As the AI search landscape matures, the distinction between a simple storage layer and a high-performance vector search engine has become the defining factor in production-grade RAG and recommendation systems.
+
+Today, we are thrilled to take the next step in that mission. It’s time to move from learning to proving your expertise with the launch of our first official certification.
+
+### Introducing the "Qdrant Essentials" Certification
+
+The [Qdrant Essentials course](https://qdrant.tech/course/essentials/) has already helped thousands of developers understand the "why" behind high-dimensional search. Now, you can officially validate that knowledge. 
+
+By completing the course and passing the final exam at **[train.qdrant.dev](https://train.qdrant.dev)**, you’ll earn a digital credential that proves you can architect search systems that are as efficient as they are accurate.
+
+#### What the Essentials Track Covers:
+* **Engine Architecture:** Deep dives into HNSW, distance metrics, and collection structures.
+* **Precision Filtering:** Mastering payload-based filtering without sacrificing search speed.
+* **Hybrid Search:** Implementing a mix of dense and sparse vectors for superior retrieval.
+* **Production Optimization:** Utilizing quantization and rescoring to scale your engine efficiently.
+
+### Why Get Certified?
+
+In a field as fast-moving as AI, "knowing a bit of Python" isn't enough. Moving from a prototype to a production-ready system requires specialized engineering judgment. Becoming **#QdrantCertified** can be a game-changer for your career:
+
+* **Verified Expertise:** It proves you understand the critical trade-offs—like balancing latency vs. accuracy—that separate a hobbyist project from enterprise infrastructure.
+* **Career Differentiation:** As companies hunt for RAG and Agentic AI experts, this badge signals that you can handle high-scale vector search, reducing your onboarding time and making you an immediate asset.
+* **Standardized Knowledge:** You aren't just learning from assorted tutorials; you’re learning the industry standard for high-performance retrieval directly from the creators of Qdrant.
+* **Engineering Authority:** Gain the confidence to lead internal AI workshops or architect your company's next-gen search platform using verified best practices.
+
+### Get Certified. Get Swag.
+
+We want to see those certificates! To celebrate the launch of our certification platform, we’re sending out some exclusive gear to our early achievers.
+
+> **The first 30 people** to post their Qdrant Essentials certification to LinkedIn with the hashtag **#QdrantCertified** will receive a free Qdrant swag pack. 
+
+It’s simple: Learn, pass the exam at [train.qdrant.dev](https://train.qdrant.dev), and share your success with the community to claim your prize.
+
+### More Courses Launching Soon
+
+The "Essentials" course is just the foundation. Qdrant Academy is expanding rapidly to support developers at every stage of their journey:
+
+#### The 2-Hour Beginner Launchpad
+Coming soon, we are launching a **2-hour Basic Course**. This is designed for those who need a high-impact, low-time-commitment introduction to the world of vector search. You’ll go from "What is an embedding?" to "I have a running search engine" in a quick yet comprehensive Qdrant intro.
+
+#### Advanced Retrieval Topics
+For the power users, our upcoming **Multivectors Course** will tackle the cutting edge of retrieval. It will focus on Late Interaction models (like ColBERT), and will cover sophisticated retrieval with MUVERA. You’ll learn how to handle token-level embeddings to achieve incredible retrieval precision for complex datasets.
+
+## Ready to Level Up?
+
+Come grow with Qdrant, and prove your knowledge with Qdrant Certifications:
+
+1.  **Learn:** Head over to the [Qdrant Essentials course](https://qdrant.tech/course/essentials/).
+2.  **Certify:** Take the exam and claim your badge at **[train.qdrant.dev](https://train.qdrant.dev)**.
+3.  **Win:** Post it on LinkedIn with **#QdrantCertified** and grab your swag.
+
+As always, happy coding!
@@ -12,7 +12,7 @@ Qdrant Academy is your step-by-step learning hub for mastering vector search, hy

 Whether you’re new to Qdrant or building production-grade systems, our guided courses help you go from beginner to expert, one module at a time.

-Qdrant Academy has just launched in Fall of 2025 and currently offers one comprehensive course, but more are on the way! Register your interest in each upcoming below.
+Qdrant Academy currently offers one comprehensive course, but more are on the way! Register your interest for upcoming courses below, or take the available course and [get certified](https://train.qdrant.dev)!

 ## Available Now

@@ -6,4 +6,17 @@ weight: 100

 # Qdrant Essentials Certification

-Coming soon! [Click here](https://forms.gle/QPSfdMjs3QpUCtGT9) to be notified when certifications become available.
+Congratulations! You’ve officially navigated the complexities of the **Qdrant Essentials** course. You didn’t just learn how to store data; you learned how to architect a high-performance **Vector Search Engine**. 
+
+You’ve moved past simple "Hello World" tutorials and dove deep into HNSW indexing, hybrid search, and production-grade optimization. That effort deserves more than just a "finished" status. It deserves professional recognition.
+
+## 🏆 Get #QdrantCertified
+
+Your expertise is now production-ready. It’s time to validate those skills with our official certification. 
+
+**Head over to [train.qdrant.dev](https://train.qdrant.dev) to take the exam.**
+
+Passing this exam proves you aren't just a user; you are a **Search Engineer** capable of:
+* **Designing** scalable retrieval systems.
+* **Optimizing** for both memory and latency.
+* **Mastering** the nuances of the Qdrant architecture.