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kanungleandgenerall
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* initial content draft * updated button links * switch to accordion --------- Co-authored-by: generall <andrey@vasnetsov.com>
132 lines
4.3 KiB
Markdown
132 lines
4.3 KiB
Markdown
---
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---
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# Welcome to Qdrant Academy
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## Learn to Build, Scale, and Master AI-Native Search
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Qdrant Academy is your step-by-step learning hub for mastering vector search, hybrid retrieval, and real-world AI applications with structured, free, online courses.
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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.
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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.
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## Available Now
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{{< course-card
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title="Qdrant Essentials Course"
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image="/icons/outline/rocket-white-light.svg"
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link="/course/essentials/"
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>}}
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**What you’ll gain:**
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- Vector Search Fundamentals
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- Indexing and Performance Basics
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- Hybrid Search Overview
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- Optimization and Scaling
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- Advanced API Introducion
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- Ecosystem Integrations (Bonus)
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<br><br>
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Time to Complete: 9-12 hours<br>
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Includes: videos, code notebooks, projects, walkthroughs
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{{< /course-card >}}
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## Upcoming Courses
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### Beginner Level
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Beginner courses require no previous experience with Qdrant and are useful for building a strong foundation in vector search.
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{{< accordion >}}
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- title: "Qdrant Fundamentals"
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content: |
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- Vector Search Concepts
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- Setting Up Qdrant
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- Creating and Managing Collections
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- Ingesting Vector Embeddings
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- Running Your First Query
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<br>
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<br>
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Time to Complete: 2 hours (TBD)<br>
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Includes: videos, code notebooks
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<br>
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<br>
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<p style="margin-left: 0px;"><a href="https://forms.gle/jiBmDcXr8j9tAb5UA" target="_blank">→ Register Interest</a></p>
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{{< /accordion >}}
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### Intermediate Level
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Intermediate courses are recommended for those that have completed the Beginner Level Modules first, and extend knowledge into more practical usage of Qdrant in the real-world.
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{{< accordion >}}
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- title: "Optimizing Performance"
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content: |
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- Fine-tuning HNSW parameters
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- Using quantizations for memory efficiency
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- Batch insertion and parallel indexing
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- Disk indexing and cost reduction
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- Advanced filtering
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<br>
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<br>
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Time to Complete: 2-3 hours (TBD)<br>
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Includes: videos, walkthroughs, projects
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<br>
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<br>
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<p style="margin-left: 0px;"><a href="https://forms.gle/aDinAbwAARB7JArg8" target="_blank">→ Register Interest</a></p>
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- title: "Scaling and DevOps"
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content: |
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- Cluster setup and replication
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- Backup, restore, and upgrade strategies
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- Deploying in Docker, K8s, or Cloud Run
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- Security and authentication
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- Observability and monitoring
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<br><br>
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Time to Complete: 4-5 hours (TBD)<br>
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Includes: videos, walkthroughs, projects
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<br>
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<br>
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<p style="margin-left: 0px;"><a href="https://forms.gle/vj1keRBjUC3Gijeo6" target="_blank">→ Register Interest</a></p>
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{{< /accordion >}}
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### Advanced Level
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Advanced courses are recommended for those that have completed the Beginner and Intermediate Level Modules first, and provide guidance for the ultimate level of mastery with Qdrant. In these modules, you'll learn of common anti-patterns and pitfalls, nuances and best practices, and ultimately be certified as an Elite Qdrant Developer.
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{{< accordion >}}
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- title: "AI Engineer"
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content: |
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**What you’ll gain:**
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- Developing AI applications
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- Agentic vector search architectures
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- GPU indexing and optimizations
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- Real-time ingestion and streaming pipelines
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- Accuracy-cost-performance tradoffs
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<br><br>
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Time to Complete: ~5 hours (TBD)<br>
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Includes: videos, walkthroughs, projects
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<br>
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<br>
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<p style="margin-left: 0px;">
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<a href="https://forms.gle/eeWbeB6tUhBKFCVJ6" target="_blank">→ Register Interest</a>
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</p>
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- title: "Search Engineer"
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content: |
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**What you’ll gain:**
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- Contextual reranking and semantic filtering
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- Multivector and late interaction models
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- Advanced hybrid search
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- Multimodal embedding models
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- Accuracy-cost-performance tradoffs
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<br><br>
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Time to Complete: 5-6 hours (TBD)<br>
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Includes: videos, walkthroughs, projects
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<br>
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<br>
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<p style="margin-left: 0px;">
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<a href="https://forms.gle/VEZ6xLAqvBtZQRCa7" target="_blank">→ Register Interest</a>
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</p>
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{{< /accordion >}}
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**Want something not mentioned above? Email [devrel@qdrant.com](emailto:devrel@qdrant.com) and let us know!** |