AWS & Neo4j Generative AI Workshop Atlanta

Tuesday, March 19
1:30pm ET

Generative AI marks one of the most significant technological shifts in history. Many companies are exploring the convergence of GenAI and cloud technologies to drive core business processes including fraud detection, customer analytics, or real-time recommendations.

Join Neo4j and AWS experts for a hands-on workshop where you will learn how to use graph technology to build intelligent, context-driven applications with lightning-fast queries and real-time insights. During this hands-on lab designed specifically for data scientists and engineers, we’ll walk you through deploying Neo4j and SageMaker on AWS. This workshop will empower you to:

  • Leverage best practices for implementing Neo4j on AWS
  • Load data from AWS into Neo4j’s graph database
  • Create a graph using data science for export to SageMaker
  • Use Cypher queries to explore relationships and analyze data

You'll come out of this workshop understanding the advantages of graph technology over traditional databases and how graphs can help you tackle your GenAI challenges.

Following the workshop, join us for a networking event. Food and beverages will be served.

This event is free but space is limited, register today!

Please note: You will need to bring your laptop for the session. We will not record or live stream the workshop.


1:30 - 2:00 Registration, Coffee, and Snacks
2:00 - 5:00 Hands-on Lab - Neo4j, Bedrock, & SageMaker
* Lecture - Introduction to Neo4j
* Lab 0 - Sign In
* Lab 1 - Deploy Neo4j
* Lab 2 - Connect to Neo4j
* Break
* Lecture - Moving Data
* Lab 3 - Moving Data
* Lab 4 - Exploration
* Break
* Lecture – Amazon Bedrock
* Lecture - Neo4j and Generative AI
* Lab 5 - Parsing Data
* Lab 6 - Chatbot
* Lab 7 - Semantic Search
* Questions and Next Steps
5:00 - 7:00 - Happy Hour!!

AWS Office
3333 Piedmont Road NE, 4th Floor
Atlanta, GA 30305​​

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Antony Prasad Thevaraj Image

Antony Prasad Thevaraj
Sr. Partner Solutions Architect, AWS

Antony Prasad Thevaraj is a Sr. Partner Solutions Architect in Data and Analytics at AWS. He has over 12 years of experience as a Big Data Engineer, and has worked on building complex ETL and ELT pipelines for various business units. He helps partners build joint solutions using AWS services.