GraphAcademy
Learning path

Graph Application Development

Ship production apps powered by Neo4j. Driver courses for building applications with Python, JavaScript, Java, .NET, and Go.

Start the path Browse all courses
  • 8
    Courses
  • ~13h
    Total time

The curriculum

8 courses, to complete.

A rhythm of deeper courses that teach concepts, and quicker labs that drill a single pattern.

8 Courses · 1–2 hours each
  1. 01
    Course2h

    Building Neo4j Applications with TypeScript

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  2. 02
    Course

    Building Neo4j Applications with .NET

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  3. 03
    Course2h

    Introduction to Neo4j & GraphQL

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  4. 04
    Course1h 30m

    Using Neo4j with .NET

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  5. 05
    Course1h

    Using Neo4j with Java

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  6. 06
    Course1h

    Using Neo4j with Python

    DeveloperPath to Neo4j CertificationDevelopment
    Start the course
  7. 07
    Course1h

    Using Neo4j with Go

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course
  8. 08
    Course4h

    Building Neo4j Applications with Spring Data

    DeveloperDevelopmentBuild a Neo4j-backed Application
    Start the course

Keep going

Where to next, after this path.

Once you complete this path, these are the natural next steps. Pick the one closest to what you build day-to-day.

Generative AI

Generative AI & GraphRAG

Give your LLMs a knowledge graph memory. Build RAG pipelines that retrieve structured, contextual facts for more accurate, grounded answers.

Explore path Sharpen your

Sharpen your Cypher

The query language of connected data. Learn to model, query, and traverse graphs — from your first node to complex multi-hop relationships.

Explore path Graph Data

Graph Data Science

Apply powerful ML algorithms directly to graph structure. Detect communities, predict links, rank nodes, and find similar entities — at scale.

Explore path