Knowledge Graph Engineering with Python

Enterprise AI systems require more than Large Language Models. They need structured knowledge, semantic understanding, reasoning capabilities, and explainable decision-making. This course teaches you how to build an Ontology-based Knowledge Graph Assistant for the Healthcare domain using modern Semantic Web technologies and enterprise AI engineering practices.

In this course, you will learn how to design healthcare ontologies, represent domain knowledge using RDF and OWL, model relationships between clinical entities, and build an intelligent Knowledge Graph that supports semantic querying and reasoning. You will also understand how ontology-driven knowledge representation enables AI systems to generate accurate, explainable, and context-aware responses for complex healthcare scenarios. The course provides a practical, implementation-focused approach covering ontology modeling, RDF triples, OWL classes and properties, SPARQL querying, healthcare knowledge representation, semantic reasoning, and the integration of these technologies into an enterprise Knowledge Graph Assistant.

Throughout the course, you will work with real-world healthcare examples and gain hands-on experience building an intelligent semantic system from scratch. This course serves as the foundation for my advanced course on Enterprise Agentic AI and LangGraph-based multi-agent systems. Therefore, it is strongly recommended—and considered a prerequisite—that you first complete my course:Enterprise Ontology Engineering with Protégé, RDF & OWLThat course introduces the core concepts of ontology engineering, Semantic Web technologies, RDF, OWL, Protégé, and enterprise ontology design, which are extensively used throughout this Knowledge Graph Assistant course.

Completing it first will help you understand the concepts more effectively and get the most value from this course. Whether you are a Software Engineer, AI Engineer, Data Engineer, Knowledge Engineer, Solution Architect, Researcher, or a learner interested in Enterprise AI, Semantic Technologies, and Knowledge Graphs, this course will provide the practical skills required to build ontology-driven AI applications for real-world enterprise healthcare systems.