By completing this course, learners will:

• Install and configure EdgeDB locally and in the cloud.

• Write queries in EdgeQL for CRUD and advanced operations.

• Design schemas with links, properties, and constraints.

• Manage migrations and schema evolution.

• Build real-world apps integrating EdgeDB with APIs.

• Optimize query performance and security.

Course Syllabus

Module 1: Introduction to EdgeDB

• Why EdgeDB? SQL vs Graph vs EdgeQL

• EdgeDB architecture and features

• Installation and setup

Module 2: EdgeQL Basics

• Selecting and filtering data

• CRUD operations

• Aggregations and ordering

Module 3: Schema Design

• Types, properties, and links

• Multi-links and relationships

• Constraints and defaults

Module 4: Working with Nested Data

• Querying nested objects

• Graph-style traversals

• Modeling complex relationships

Module 5: Advanced EdgeQL

• Computed properties

• Functions and operators

• Transactions and concurrency

Module 6: Migrations & Versioning

• Managing schema changes

• Migration workflow

• Schema best practices

Module 7: Integrations

• Using EdgeDB with Node.js, Python, and Go

• API development with EdgeDB

• Frontend integrations with React, Svelte, and Next.js

Module 8: Deployment

• Running EdgeDB in Docker

• Kubernetes deployment

• Cloud services integration

Module 9: Real-World Projects

• Social graph application with EdgeDB

• E-commerce product + order system

• Knowledge base with nested queries

Module 10: Best Practices

• Performance tuning

• Indexing and query optimization

• Security and role-based access

Learners will receive a Certificate of Completion from Uplatz, validating their expertise in EdgeDB and graph-relational database management. This certificate demonstrates readiness for roles in backend engineering, full-stack development, and data architecture.

EdgeDB skills prepare learners for roles such as:

• Backend Developer (EdgeDB)

• Full-Stack Developer

• Database Engineer

• Data Architect

• API Developer

EdgeDB is increasingly used for web apps, social graphs, e-commerce platforms, and content-driven systems, making it a highly valuable and future-proof skill.

1. What is EdgeDB?
   EdgeDB is a graph-relational database built on PostgreSQL, combining relational structure with graph-like querying.

2. What is EdgeQL?
   EdgeQL is EdgeDB’s SQL-like query language, designed for easier handling of complex and nested queries.

3. How does EdgeDB differ from PostgreSQL?
   EdgeDB builds on PostgreSQL but adds graph-style links, a richer type system, and schema-first design.

4. What are links in EdgeDB?
   Links represent relationships between objects, similar to foreign keys but more expressive.

5. How does EdgeDB handle nested queries?
   EdgeQL allows nested selections directly, simplifying queries that would require multiple joins in SQL.

6. What are migrations in EdgeDB?
   Migrations are schema versioning workflows that allow developers to evolve database structures safely.

7. How does EdgeDB integrate with applications?
   Through client libraries for Node.js, Python, Go, and REST/GraphQL APIs.

8. How does EdgeDB improve developer productivity?
   By offering simpler queries, strong typing, and schema-first design for faster development.

9. Can EdgeDB handle graph queries?
   Yes, EdgeDB supports graph-style traversals via links and multi-links.

10. Where is EdgeDB commonly used?
    In content management, e-commerce, social networks, analytics, and knowledge graph apps.