Neo4j Good to Great: Graph Database Training + Workshop Series for Federal Professionals
About the Event
Join us for an immersive full-day Neo4j training session, tailored for Software Developers, Application Architects, Data Scientists, and Data Analysts in the federal community. This comprehensive course is designed to elevate your understanding of graph database technology and its applications in enterprise settings.
Agenda
08:30 am - 09:00 am Check-In and Coffee
09:00 am - 10:30 am Intro to Neo4j and Cypher
10:30 am - 10:45 am Break
10:45 am - 12:00 pm Graph Modeling Best Practices
12:00 pm - 01:00 pm Lunch
01:00 pm - 01:30 pm Data Visualization with Bloom
01:30 pm - 02:00 pm Neo4j Graph Data Science
02:00 pm - 04:00 pm *Neo4j GenAI Workshop
Who Should Attend?
This course is ideal for:
Software Developers
Application Architects
Data Scientists
Data Analysts
Whether you're new to Neo4j or looking to deepen your expertise, this training will provide valuable insights and practical skills.
Why Attend?
This course introduces you to graph database technology, and how Neo4j is used in many enterprises to implement key use cases. You will learn about the Neo4j Labeled Property Graph data model and through hands-on exercises be introduced to the Cypher graph query language as well as best practices for modeling a Neo4j graph.
Beyond Neo4j basics, explore graph data and structures via Neo4j’s Bloom visualization capabilities, and learn about how Graph Data Science algorithms reveal new insights within graph data sets.
Finally, learn about and try out best practices for employing a Neo4j Knowledge Graph as a key element of a Generative AI RAG Architecture.
*If you do not attend the first part of the day then some working knowledge of Neo4j is advisable in order to complete hands-on aspects of the GenAI Workshop.
Register Now
Don’t miss this opportunity to enhance your graph database skills and knowledge. Register now to secure your spot and take the next step in your professional development.
***Please note, this is a hands-on course and you will need to use your laptop to participate in the learning sessions.***
