Neo4j Virtual Workshop Series: Build Practical Graph & AI Skills

Learn how to design graph databases, build GraphRAG applications, apply graph analytics, and query enterprise data with Neo4j—all through interactive, instructor-led virtual workshops.

Whether you're getting started or expanding your expertise, each live session combines expert instruction with guided, hands-on exercises to help you apply graph intelligence to real-world use cases.

Attend a single workshop or complete the full series to build your knowledge across graph databases, GraphRAG, graph analytics, and AI.

Perfect for: Developers, data engineers, architects, data professionals, and AI practitioners.

Wednesday 9 September | Zero to Production

Duration: 2 hours

Build your first graph application from the ground up

Learn how to design, build, and query a graph database using Neo4j.

In this hands-on workshop, you will:

• Learn graph database fundamentals
• Write and run Cypher queries
• Model and import relational data into Neo4j Aura
• Explore and visualise connected data
• Build an AI-powered interface for querying your data

You'll leave with a working graph application and the skills to start building with Neo4j.

Wednesday 23 September | Graph Data Modeling and Importing Data into Neo4j

Duration: 2 hours

Design graph data models and import data into Neo4j

Learn how to transform relational data into a graph model and load it into Neo4j using industry best practices.

In this hands-on workshop, you will:

• Learn graph data modeling principles
• Design nodes, relationships, labels, and properties
• Translate relational data into a graph model
• Import data using Cypher and Neo4j tools
• Validate and explore your graph

You'll leave with the skills to design scalable graph models and confidently import your own data.

Wednesday 4 November | Generative AI Fundamentals with Neo4j

Duration: 2 hours

Build more accurate, explainable AI applications with GraphRAG

Learn how Neo4j and knowledge graphs provide the context needed to improve Generative AI applications.

In this hands-on workshop, you will:

• Understand the fundamentals of LLMs and GraphRAG
• Learn how knowledge graphs improve AI accuracy
• Explore embeddings and vector search
• Build Retrieval-Augmented Generation (RAG) workflows
• Integrate Neo4j with Generative AI frameworks

You'll leave with a practical understanding of how to build enterprise AI applications using GraphRAG.

Wednesday 18 November | Graph Data Science Fundamentals

Duration: 2 hours

Analyse connected data using graph algorithms

Learn how to identify patterns, detect communities, and generate insights using Neo4j Graph Data Science.

In this hands-on workshop, you will:

• Learn Graph Data Science fundamentals
• Create graph projections
• Run graph algorithms including centrality, similarity, and community detection
• Interpret algorithm results
• Apply graph analytics to real-world business problems

You'll leave with the skills to apply graph algorithms to analytics, machine learning, and AI use cases.

Wednesday 25 November | Graph Reasoning with Neo4j Virtual Graph

Duration: 2 hours

Run graph queries directly on your cloud data warehouse

Learn how Neo4j Virtual Graph lets you query relational data in Snowflake, Databricks, and Google BigQuery using Cypher—without moving or duplicating your data.

In this hands-on workshop, you will:

• Learn how Virtual Graph maps relational data into a graph model
• Query cloud warehouse data using Cypher
• Analyse multi-hop relationships that are difficult to express in SQL
• Apply graph reasoning to large-scale datasets
• Explore use cases including fraud detection, supply chain analysis, GraphRAG, and agentic AI

You'll leave with the skills to apply graph reasoning directly to your existing cloud data warehouse while maintaining governance and security.

Requirements