PluralSight – Introduction to Knowledge Graphs 2026
English | Tutorial | Size: 134.45 MB
Knowledge graphs are transforming how AI systems understand and reason over connected information. This course will teach you the fundamentals of knowledge graphs – from core concepts and standards to real-world applications and best practices.
What you’ll learn
AI systems often struggle to leverage the rich relationships hidden across disconnected datasets, limiting their ability to reason, explain decisions, and deliver truly intelligent results. In this course, Introduction to Knowledge Graphs, you’ll gain the ability to understand, evaluate, and apply knowledge graph concepts to real-world AI problems. First, you’ll explore how knowledge graphs represent information through entities, relationships, and graph structures like RDF triples. Next, you’ll discover how ontologies and schemas bring semantic structure, enabling reasoning and interoperability. Finally, you’ll learn how to assess knowledge graph applications across industries and navigate the ecosystem of standards, tools, and best practices. When you’re finished with this course, you’ll have the skills and knowledge of knowledge graphs needed to make informed decisions about when and how to use them in your AI systems.
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