nastyapashandgenerall
d758ddcb81
* Add Course page * Added shortcodes and buttons to navigate to the next page * move course images from layout * decouple documentation and course layout * decouple course sidebar * move accordion js handlers into global unconditional js * enable search on courses * allow nested courses * disable links for now --------- Co-authored-by: generall <andrey@vasnetsov.com>
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title, url
| title | url |
|---|---|
| FAQ | /course/faq/ |
Qdrant Essentials Course 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?
Yes! But just watching the videos doesn’t quite get you there. You need to [insert instructions] to obtain the certification. And, you’ll also have your project to add to your portfolio!
How much time should I spend on this course?
Each “Day” of this course is designed to be completed in 1 day. Day 0 is the quickest, and then there are 8 days of content. So you are looking at a minimum of 9 days, but don’t forget about the bonus content.
The good news is that you can take as much time as you need to complete the course since it is on-demand and at your own pace.
What tools do I need?
Python, Docker, and optionally Qdrant Cloud. 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. Our team and community are ready to help.
Where can I get the code for the course?
Look at each Day’s page of content. You can also find them in this repo.
{{< 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 >}}