Drive Efficiency with Neo4j's Graph Data Platform

Join the official training on Developing Real-world Applications using Neo4j Training by DataCouch

USD 1200

OFFICIAL PARTNERNeo4j

Limited Seats | Reserve Your Spot Today

Hands-On Learning | Real Use Cases | Get Certified – Fast-track Your Career

Upcoming Batches

Featured Webinar: Unlocking the Potential of Graph Databases in Real-World Scenarios

Join Edmondo Rosini, Director of Education Sales, APJ at Neo4j, as he shares expert insights and real-world applications.

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What You’ll Get with This Training

Training Format and Flexibility

We offer options for both individual learners and organizations:

Public Batches:

Join a group of professionals in scheduled sessions

Private Batches:

Customized sessions tailored to your team and timelines

Certificate of Completion

Receive an industry-recognized certificate issued by Neo4j & DataCouch.

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OFFICIAL PARTNERNeo4j

DataCouch: Official Neo4j Education Delivery Partner

Master Neo4j for Improved Outcomes and Greater Efficiencies

Neo4j Advanced

Deep Dive into Performance Tuning, Security, and Scalable Data Architecture in Neo4j

Neo4j Architect

Mastering Architecture, Performance Optimization, and Best Practices in Neo4j

Neo4j Performance Automation and Tuning

Optimize Query Performance, Resource Management, and Automation for a Faster Neo4j Experience

Trusted by Global Brands

Whether you're looking to drive efficiencies in business or empower your clients with innovative tools, the possibilities with Neo4j's AI Data Cloud are endless.

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Why Choose Neo4j?

High Demand for Neo4j Certified Professionals Earning $200k+.

Future-Proof your Investments in AI and Data - Skills, Platforms, & Solutions.

Expert-led Intensive Hands-on Learning for Practical Exposure and Insights.

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Take the first step toward a rewarding career in Graph Data and AI Cloud with Developing real world apps using Neo4j

Key Skills You Will Learn

Neo4j Key Skills

Learn to design intuitive and scalable graph data models using Neo4j for real-world domains and evolving requirements.

Master Cypher, Neo4j’s powerful query language, to retrieve, manipulate, and optimize data with precision and performance.

Discover proven strategies to optimize queries, refactor models, and improve graph database performance under real-world workloads.

Build end-to-end applications integrated with Neo4j, covering REST APIs, frontend frameworks, and deployment best practices.

Efficiently manage data imports using tools like CSV loaders, APOC, and ETL, while ensuring data integrity and consistency.

MobileViewKeyskill

Learn to design intuitive and scalable graph data models using Neo4j for real-world domains and evolving requirements.

Master Cypher, Neo4j’s powerful query language, to retrieve, manipulate, and optimize data with precision and performance.

Discover proven strategies to optimize queries, refactor models, and improve graph database performance under real-world workloads.

Build end-to-end applications integrated with Neo4j, covering REST APIs, frontend frameworks, and deployment best practices.

Efficiently manage data imports using tools like CSV loaders, APOC, and ETL, while ensuring data integrity and consistency.

Course Outline

  • Overview of Neo4j Ecosystem
  • Use cases and benefits of graph databases
  • Core Concepts

○ Nodes, Relationships, and Properties

○ ACID properties and data storage architecture

  • Introduction to the Cypher Query Language
  • Essential Query Patterns
  • Functions and Parameters
  • Introduction to Graph Data Modeling

    • Understanding the Basics of Data Modeling
    • Role of Data Models in Adapting to Changing Requirements
    • Overview of Graph Data Modeling in Neo4j
    • Collaboration between Stakeholders and
    • Developers Arrangement of Data into Nodes and
    • Relationships Significance of Traversals in Data Retrieval
  • Seven-Step Process for Graph Data Model Design

    • Understanding the Domain, Stakeholders, and Use Cases
    • Identifying and Refining Nodes
    • Determining Node Properties
    • Adding Relationships with Proper Naming
    • Validation and Testing for Performance and Scalability
    • Realistic Assessment with Large Datasets
    • Case Study: Designing a Graph Data Model for a Bill of Materials Application

Key Aspects of Initial Design

  • Handling Complex Nodes and Enhancing Traversal Efficiency
  • Unique Identifiability and Naming Conventions
  • Types vs. Properties Decision Making
  • Avoiding Symmetrical Relationships
  • Enhancing Data Semantics with Multiple Relationships
  • Choosing Differentiation Methods Based on Query Requirements

Utilizing Common and Useful Data Structures

  • Understanding Intermediate Nodes and Linked Lists
  • Practical Examples of Intermediate Nodes
  • Concept of Timeline Trees in Graph Structures
  • Combining Multiple Graph Structures for Complex Models
  • Optimizing Query Performance through Refactoring

    • Theory and Practical Applications of Refactoring
    • Case Study: Designing and Refining a Data Model for an Airline Flight System
    • Enhancements for Performance and Handling Complex Queries

Ensuring Data Integrity and Efficient Import

  • Defining Constraints: Uniqueness, Existence, and Node Keys
  • Managing Indexes and Cleaning Data 
  • Overview of Importing Data into Neo4j
  • Import Options: Language Drivers, neo4j-admin, ETL Tool, Data Importer Tool
  • Loading CSV Data and Using APOC for Bulk Loading

Optimizing Cypher Queries for Performance

  • Preparing for Query Tuning: Hardware, Data Model, Query Execution
  • Understanding How Queries Work in Neo4j
  • Controlling Row Cardinality for Efficient Queries
  • Neo4j Behind the Scenes: Structure and Operation
  • Optimizing Property Access in Cypher Queries
  • Monitoring Running Queries: Techniques and Tools
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  • Integrating Neo4j with Application Frameworks
  • Designing REST APIs and integrating with front-end frameworks
  • Handling security, scalability, and deployment considerations
  • Case Study/Demonstration: Building a complete application that leverages Neo4j for data management and query processing

Developing real world apps using Neo4j | 4-Day Live Virtual Class

Upcoming Batches

Frequently Asked Questions

It’s an official 4-day live virtual program that covers all foundational aspects of Snowflake. This Neo4j training and certification course is designed to help professionals build real-world skills and gain an industry-recognized credential.

This course is ideal for Data Analysts, Data Engineers, Data Scientists, Database Architects, and Administrators with prior data warehouse experience.

Topics include Neo4j architecture, SQL support, data protection, security management, data loading, and cost optimization.

It is offered as instructor-led sessions, both online and in-person.

Yes, prior knowledge of SQL and data warehouse concepts is recommended.

The training includes lectures, demos, and practical hands-on lab exercises.

Yes, in addition to the Neo4j Fundamentals, we offer advanced programs covering architecture, performance tuning, and automation — ideal for those looking to expand beyond the basics of Neo4j training and certification.

You can check other terms and conditions available at Neo4j Website.

Have Questions?

We’re here to help!

Ready to transform your career with Neo4j? Enroll Today and get immediate access to your live training schedule and preparatory materials.

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