Build a complete production application from scratch using GitHub Copilot as your AI pair programmer. This capstone course guides you through every phase of real-world software development — from project planning and architecture decisions through API implementation, business logic, data persistence, testing, and code review.

GitHub Production Applications

GitHub Production Applications
This course is part of Mastering GitHub Specialization

Instructor: Alfredo Deza
Included with
Recommended experience
What you'll learn
Implement a multi-layer production application (API, business logic, data layer) using GitHub Copilot for AI-assisted development
Build comprehensive test suites with unit, integration, and end-to-end testing strategies using Makefile-driven quality pipelines
Evaluate AI-generated code against industry best practices through structured review and reflection workflows
Skills you'll gain
- Software Testing
- Test Case
- Data Integrity
- Application Development
- Test Automation
- Business Logic
- Back-End Web Development
- Software Technical Review
- Code Review
- Software Development
- Full-Stack Web Development
- API Design
- Requirements Analysis
- Software Architecture
- Test Driven Development (TDD)
- Object-Relational Mapping
Tools you'll learn
Details to know

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March 2026
2 assignments
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There are 3 modules in this course
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Pragmatic AI Labs

Duke University
Status: Free Trial
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