- Course
Knowledge Graph Modeling and Databases
Design, model, and query knowledge graphs for AI and enterprise systems. Learn ontology design, graph architectures, SPARQL and Cypher querying, indexing strategies, and governance practices using practical examples.
Intermediate
- Course
Knowledge Graph Modeling and Databases
Design, model, and query knowledge graphs for AI and enterprise systems. Learn ontology design, graph architectures, SPARQL and Cypher querying, indexing strategies, and governance practices using practical examples.
Intermediate
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This course is included in the libraries shown below:
- AI
What you'll learn
Many organizations struggle to design scalable, well-structured knowledge graphs that truly support AI systems and complex data relationships. In this course, Knowledge Graph Modeling and Databases, you’ll gain the ability to design, model, query, and govern enterprise-ready knowledge graphs. First, you’ll explore how to create effective schemas and ontologies using structured design principles. Next, you’ll discover how to model entities and relationships and choose appropriate graph database architectures. Finally, you’ll learn how to query knowledge graphs using SPARQL and Cypher and implement data quality and governance practices. When you’re finished with this course, you’ll have the skills and knowledge of knowledge graph modeling and database design needed to build scalable, AI-ready graph solutions.
Knowledge Graph Modeling and Databases
Intermediate
Table of contents
Zainul Arefin is an experienced IT trainer and ServiceNow developer, passionate about simplifying complex tech concepts through practical, engaging, and real-world learning.
