Welcome to Qdrant Academy
Learn to Build, Scale, and Master AI-Native Search
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.
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.
Available Now
Qdrant Essentials Course
What you’ll gain:
- Vector Search Fundamentals
- Indexing and Performance Basics
- Hybrid Search Overview
- Optimization and Scaling
- Advanced API Introducion
- Ecosystem Integrations (Bonus)
Time to Complete: 9-12 hours
Includes: videos, code notebooks, projects, walkthroughs
Upcoming Courses
Beginner Level
Beginner courses require no previous experience with Qdrant and are useful for building a strong foundation in vector search.
Qdrant Fundamentals
- Vector Search Concepts
- Setting Up Qdrant
- Creating and Managing Collections
- Ingesting Vector Embeddings
- Running Your First Query
Time to Complete: 2 hours (TBD)
Includes: videos, code notebooks
Intermediate Level
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.
Optimizing Performance
- Fine-tuning HNSW parameters
- Using quantizations for memory efficiency
- Batch insertion and parallel indexing
- Disk indexing and cost reduction
- Advanced filtering
Time to Complete: 2-3 hours (TBD)
Includes: videos, walkthroughs, projects
Scaling and DevOps
- Cluster setup and replication
- Backup, restore, and upgrade strategies
- Deploying in Docker, K8s, or Cloud Run
- Security and authentication
- Observability and monitoring
Time to Complete: 4-5 hours (TBD)
Includes: videos, walkthroughs, projects
Advanced Level
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.
AI Engineer
- Developing AI applications
- Agentic vector search architectures
- GPU indexing and optimizations
- Real-time ingestion and streaming pipelines
- Accuracy-cost-performance tradoffs
Time to Complete: ~5 hours (TBD)
Includes: videos, walkthroughs, projects
Search Engineer
- Contextual reranking and semantic filtering
- Multivector and late interaction models
- Advanced hybrid search
- Multimodal embedding models
- Accuracy-cost-performance tradoffs
Time to Complete: 5-6 hours (TBD)
Includes: videos, walkthroughs, projects
Want something not mentioned above? Email devrel@qdrant.com and let us know!
