From the course: Knowledge Graph Data Engineering for Generative AI Use Cases
The power of knowledge graphs in data engineering - Neo4j Tutorial
From the course: Knowledge Graph Data Engineering for Generative AI Use Cases
The power of knowledge graphs in data engineering
- LLMs and knowledge graphs together enable more accurate context-aware AI. But if you're new to knowledge graphs, or KGs, translating relational or unstructured data into these network models can be a bit overwhelming. This course is designed for beginners, offering no-code options so anyone can dive in. We'll walk through the full knowledge engineering process from preparing and modeling your data with and without AI to building semantic queries that return business-relevant answers. I'm Dr. Ashleigh Faith, and you might know me from my YouTube channel where I teach on these topics. With over 15 years in corporate roles focusing on semantics, knowledge graph and search, I manage knowledge data engineering teams with some of the world's largest and most specialized LLM and KG systems. Whether you're curious about knowledge data engineering or want to see how AI can help design your KGs, this course is the perfect place to start.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.