Neo4j Graph Data Science Training

Neo4j

<h2>Neo4j Graph Data Science</h2><h2>Course Description</h2><p>As data science continues to be increasingly relevant for enterprises globally, knowledge graphs, graph technology and graph algorithms have emerged as powerful tools for answering complex questions based on connections and patterns resident in corporate data sets. Using the Neo4j Graph Database and Neo4j Graph Data Science Library, data scientists are able to apply graph algorithms to discover hidden patterns in their data, enrich knowledge graphs with contextual information and improve the accuracy of Machine Learning models. In the context of Generative AI applications, Knowledge graphs built on Neo4j have become an integral component of RAG architectures to provide outcomes that are accurate, contextual, individualized, transparent, and explainable.</p><p>In this advanced Neo4j training, you’ll learn how data scientists are leveraging Neo4j to analyze the data and generate insights in real world scenarios helping businesses with knowledge-driven decision making. This training also demonstrates the integration between the Knowledge graphs and Large Language Models in the context of building RAG (Retrieval-Augmented Generation) based GenAI architectures.</p><p><br></p><p><strong><strong>Through this course you will:</strong></strong></p><ul><li>Learn about Neo4j, the Labeled Property Graph model and the Neo4j Graph Data Science Library (GDS)</li><li>Learn about graph algorithms and graph analytics. Analyze a real world dataset to discover hidden relationships between various entities by applying multiple types of graph algorithms (Centrality, Community Detection, Similarity and Graph embeddings)</li></ul><ul><li>Learn about the advantages of integrating knowledge graphs with Large Language models and advanced RAG architectures</li></ul><p><br></p><h3><strong><strong>Please note:</strong></strong> This is a BY INVITATION ONLY event.</h3><ul><li><strong><strong>Format:</strong></strong> Instructor-led, online event with hands-on exercises</li><li><strong><strong>Duration: </strong></strong>4 Hours</li><li><strong><strong>Audience for this course:</strong></strong> Data Scientists, Data Analysts, Data Engineers</li></ul><p><br></p><h3>Technical requirements</h3><ul><li>Neo4j GDS Training will include hands-on exercises which leverage software and working examples that are hosted in the Neo4j Online Sandbox system.</li><li>You will need your own laptop and will need access to Zoom Conferencing. Please note that some companies block the use of Zoom on their equipment and internal networks. Check with your company if using Zoom will be an issue as you will need to use a personal pc to access the training.</li></ul><p><br></p><h3>Recommended reading and available resources</h3><p>Review information on <a href="https://www.neo4j.com/" title="https://www.neo4j.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">neo4j.com</a> on the <a href="https://neo4j.com/graph-data-science-library/" title="https://neo4j.com/graph-data-science-library/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Neo4j Graph Data Science Library</a></p><h3><br></h3>

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Neo4j Graph Data Science Training

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