Master Graph & AI Skills with Hands-On Neo4j Workshops

Build real-world graph and AI applications—faster.

Go beyond theory and start building. These hands-on online Neo4j workshops are designed to help you develop practical, in-demand skills in graph databases and AI—and apply them immediately.

Whether you're starting from scratch or scaling advanced analytics, you'll gain guided, real-world experience across three workshops.

Why attend?

• Build and deploy graph-powered applications
• Create more accurate AI systems using GraphRAG
• Run advanced graph analytics and machine learning workflows
• Gain hands-on experience with Neo4j Aura and Python
• Develop skills you can immediately apply in real-world scenarios

Your Learning Journey

Move from foundational graph skills to advanced AI and analytics:

1. Start → Build your first graph-powered app
2. Advance → Create accurate GenAI applications with GraphRAG
3. Scale → Run graph analytics and machine learning at scale

Join one session—or complete all three to accelerate your journey.

Upcoming Workshops

Wednesday 20 May | Zero to Production

Duration: 2 hours

Build your first graph-powered application—from scratch

Start from the ground up and learn how to design, build, and query a graph database using Neo4j.

In this hands-on workshop, you will:

• Learn graph database fundamentals and core concepts
• Write and run queries using Cypher
• Model and import relational data into Neo4j Aura
• Explore and visualise connected data
• Build an AI-powered interface to query your dataset

You’ll leave with a working graph application and practical skills you can use immediately.

This workshop takes you from zero knowledge to a production-ready foundation using Neo4j and Aura.

Perfect for: Developers, engineers, and data professionals new to graph technology

Wednesday 3 June | Build Accurate Generative AI Applications

Duration: 2 hours

Start the GenAI fundamentals course

Improve LLM accuracy with knowledge graphs and GraphRAG

Learn how to build more reliable and accurate AI applications by grounding LLMs in connected data.

In this hands-on session, you will:

• Understand how knowledge graphs improve GenAI accuracy
• Use embeddings and vector indexes in Neo4j
• Apply Retrieval-Augmented Generation (RAG)
• Explore GraphRAG to provide structured context to LLMs
• Build AI applications combining graph data and natural language

Neo4j enables you to ground LLMs with factual data—reducing hallucinations and improving outputs.

Perfect for: AI practitioners, developers, and data scientists working with LLMs

Wednesday 17 June | Graph Analytics & Data Science with Neo4j in the Cloud

Duration: 2 hours

Explore the GDS Python workshop

Run graph analytics and machine learning at scale

Take your skills further with Python-based graph data science and large-scale analytics.

In this advanced workshop, you will:

• Use the Python GDS client for graph analytics workflows
• Apply algorithms like PageRank, Louvain, and centrality
• Generate node embeddings for machine learning
• Run pathfinding algorithms (e.g. Dijkstra, shortest paths)
• Execute graph analytics at scale using Aura Graph Analytics

You’ll apply real algorithms to real datasets using production-ready workflows.

Perfect for: Data scientists and advanced users scaling graph analytics

Before You Attend

To get the most out of the workshops, please complete the following steps in advance:

Step 1: Create a free GraphAcademy account
You’ll be enrolled into the relevant course during the session, so having an account ready will help you get started straight away.
Sign up here

Step 2: Set up a GitHub account
You’ll be using GitHub throughout the workshops for hands-on exercises.
Sign up here

Step 3: Familiarise yourself with GitHub Codespaces
We’ll be using Codespaces to run practical challenges, so a basic understanding will ensure you can follow along smoothly.

Ready to Build?

Whether you're exploring graph technology for the first time or scaling AI and analytics, these workshops will give you the skills, confidence, and practical experience to move fast.
Register now