What you'll learn

Large language models generate fluent text, but on their own they hallucinate, go stale, cannot cite a source, and fail at questions that require reasoning across connected facts.

In this course, Knowledge Graphs for Generative AI, you’ll gain the ability to ground generative AI in knowledge graphs so your systems produce answers that are factual, explainable, and supported by traceable sources.

First, you’ll explore why generative AI needs knowledge graphs, and implement retrieval-augmented generation and GraphRAG to ground answers in structured facts.

Next, you’ll discover how to enhance LLM prompting with structured knowledge and build a knowledge graph from your own documents.

Finally, you’ll learn how to build a knowledge-grounded conversational agent, apply these patterns in a specialized domain, and prepare a system for production.

When you’re finished with this course, you’ll have the skills needed to design generative AI systems that are grounded, explainable, and trusted.