Knowledge Graph Course
This course provides hands-on training in building, querying, and deploying knowledge graphs for product search, integrating AI for recommendations and natural language processing, with emphasis on scalable, compliant data pipelines.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This straightforward Knowledge Graph Course teaches you how to create a product search graph from the ground up, define entities, edges, and constraints, and ensure data integrity. You will develop practical tagging rules, execute powerful graph queries, integrate recommendations and natural language search using AI, and set up data pipelines that scale effectively, comply with regulations, and are simple to monitor, update, and adapt in live environments.
Elevify advantages
Develop skills
- Design product knowledge graphs: model nodes, edges, and constraints quickly.
- Build clean graph data: remove duplicates, standardise brands, correct missing values.
- Implement smart tags: automatically generate EcoFriendly, PremiumProduct, Sportswear.
- Query graphs for search and AI: use Cypher/SPARQL patterns, ranking metrics.
- Deploy graphs in production: scale, monitor, secure, and version schemas.
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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

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

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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