June 2025
Intermediate
2h 34m
English
Closed Captioning available in English
Overview
In this 1-hour course, you'll delve into Neo4j, focusing on mastering its unique capabilities for graph databases and AI. Explore Cypher query language, Graph Data Science tools, and the integration of GraphQL and LLM. Whether you're querying data or building knowledge graphs for AI applications like RAG, this course covers it all.
What I will be able to do after this course
- Master the Cypher query language and write efficient graph queries.
- Understand and utilize the Graph Data Science library for network analysis.
- Integrate GraphQL with Neo4j to simplify interfacing with graph data.
- Learn to build and optimize knowledge graphs using LLMs.
- Apply Neo4j for Retrieval-Augmented Generation (RAG), enhancing AI workflows.
Course Instructor(s)
Nitin Gujral is an expert in graph databases and AI applications, with ample experience teaching complex technical subjects online. He brings a practical, hands-on teaching style, emphasizing real-world applications and problem-solving skills. With a strong academic and professional background, Nitin ensures learners grasp both foundational and advanced concepts effectively.
Who is it for?
This course is tailored for software engineers, data scientists, and AI practitioners looking to gain proficiency in graph databases and intelligent graph applications. Ideal learners should have basic programming knowledge (preferably in Python) and some experience with data manipulation. No prior knowledge of Neo4j is needed, as the course starts from fundamentals and progresses to advanced topics including working with AI models and RAG.
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