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title, description, weight
| title | description | weight |
|---|---|---|
| Qdrant Essentials FAQs | Learn everything about the Qdrant Essentials course — who it’s for, tools required, certification details, setup options, and how to get help while building your vector search expertise. | 200 |
Qdrant Essentials FAQs
Who is this course for?
Engineers and developers working with semantic or hybrid search, building LLM pipelines, or exploring vector databases for the first time. No prior experience with Qdrant or vector search is needed.
Is the course free?
Yes, completely free. No credit card required.
Do I get a certificate of completion?
Certification coming soon!
How much time should I spend on this course?
Each "Day" is designed to be completed in 1 day. Day 0 is the quickest, followed by 5 more days of content. Plan for at least 6 days, plus bonus content.
The good news: you can take as much time as you need since the course is on-demand and self-paced.
What tools do I need?
Python and either Qdrant Cloud or Docker. We walk you through setup on Day 0.
Can I use Qdrant locally or do I need a cloud account?
You can do either. We support both local (via Docker) and Qdrant Cloud setups.
What if I get stuck or have a question?
Join the Qdrant Discord 
Where can I get the code for the course?
Check each Day’s page of content.
{{< course-card title="Why Start Today" image="/icons/outline/rocket-white-light.svg" link="/course/day-0/">}}
- Seeing practical examples (e.g., hybrid search, sparse+dense vectors)
- Learning key deployment tactics (multi-node clusters, on-disk indexing, RBAC)
- Building a final portfolio-grade project to showcase
{{< /course-card >}}