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Udemy - Knowledge Graph Engineering with Python [TorrentX]

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Knowledge Graph Engineering with Python https://WebToolTip.com Published 7/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 7m | Size: 2.48 GB Ontology based Knowledge Graph Assistant: Healthcare domain What you'll learn Build production-ready healthcare knowledge graph applications using Python, Neo4j, and enterprise knowledge graph engineering best practices. Validate and maintain healthcare knowledge graphs using SHACL while ensuring data quality, semantic consistency, and integrity. Develop REST APIs and backend services to query, manage, and integrate healthcare knowledge graphs with enterprise applications. Design scalable semantic applications by combining healthcare ontologies, graph databases, semantic reasoning, and graph-based analytics. Requirements A basic understanding of RDF, OWL, SPARQL, and ontology engineering concepts. Completion of Part 1 is recommended but not mandatory. Basic knowledge of Python programming, including variables, functions, and working with libraries. Familiarity with graph databases or a willingness to learn Neo4j and Cypher during the course. A computer running Windows, macOS, or Linux with permission to install free software such as Python, Neo4j Desktop, Docker (optional), and Visual Studio Code. No prior experience with SHACL, enterprise knowledge graphs, or semantic application development is required. These concepts are taught step by step throughout the course.

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