Knowledge Graph Course
This course provides hands-on experience in building and deploying knowledge graphs for product search, covering entity modeling, data quality, tagging, querying, and production deployment.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This short Knowledge Graph Course teaches you how to create a product search graph from the ground up, define entities, connections, and rules, and ensure data quality. You will develop practical tagging guidelines, execute strong graph searches, combine recommendations and natural language search using AI, and set up data flows that expand dependably, follow regulations, and are simple to watch, adjust, and improve in real use.
Elevify advantages
Develop skills
- Design product knowledge graphs: model nodes, connections, and rules quickly.
- Build clean graph data: remove duplicates, standardise brands, correct missing details.
- Implement smart tags: automatically generate EcoFriendly, PremiumProduct, Sportswear.
- Query graphs for search and AI: Cypher/SPARQL patterns, ranking measures.
- Deploy graphs in production: expand, monitor, secure, and manage schema versions.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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