---
title: "Qdrant Learn Portal"
description: "Tutorials, Courses, Articles"
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breadcrumb: false
partition: learn
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#     title: Welcome to Qdrant Learn
#     description: Learn Portal
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      list:
        title: "Featured articles:"
        elements:
            - Data Exploration with Qdrant's Distance Matrix API
            - Why Vector Search Needs a Dedicated Database
            - Semantic Search As You Type
      link:
        url: /articles/
        text: Browse Articles
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        alt: Courses
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            - "Beginner: Vector search basics"
            - "Intermediate: Advanced querying"
            - "Advanced: Production optimization"
      
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        alt: Tutorials
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      list:
        title: "Tutorial categories:"
        elements:
            - "Search Engineering"
            - "Operations and Scale"
            - "Develop and Implement"
      
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        text: Start Learning
        url: /documentation/tutorials-basics/
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      title: Ready to Build?
      description: Build out practical projects using our example prototypes and integration guides.
      link:
        text: View Examples
        url: /documentation/examples/
---

# Learn

- **[Articles](/articles/index.md)**: Long-form technical pieces covering vector search concepts, system architecture, RAG pipelines, quantization, hybrid retrieval, and Qdrant internals.
- **[Courses](/course/index.md)**: Structured, self-paced learning paths through Qdrant Academy. Two courses are currently available: *Qdrant Essentials* (9–12 hours) and *Multi-Vector Search* (4–6 hours), with beginner, intermediate, and advanced courses planned. Free, with certification.
- **[Tutorials](/documentation/tutorials-lp-overview/index.md)**: Step-by-step guides organized into five categories: Basic, Search Engineering, Operations & Scale, Develop & Implement, and Migrate to Qdrant.