GitHub Production Applications

Overview

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. You will start by scoping a production project, analyzing domain context, and querying internal knowledge bases to inform your development approach. Then you will implement a multi-layer application: building RESTful API endpoints, implementing data validation and schema enforcement, coding business logic with complex rules and edge cases, and integrating database persistence using ORMs. Finally, you will build comprehensive test suites spanning unit, integration, and end-to-end testing, review your implementation against industry best practices, and reflect on AI-assisted development workflows. Each task uses a Makefile-driven quality pipeline, giving you a production-ready development workflow. This course synthesizes skills from the entire Mastering GitHub Copilot specialization into one cohesive deliverable.

Syllabus

Project Planning and Context

Covers project scoping, AI-assisted planning, domain context analysis, and leveraging internal knowledge bases to inform development decisions.

Implementation, Testing, and Review

Covers full-stack implementation with Copilot — building API endpoints, implementing data validation, coding business logic, integrating database persistence via ORMs, building comprehensive test suites, and reviewing code against best practices.

Capstone — Production Application Capstone in Practice

Synthesize skills from all modules in a comprehensive role-play scenario that integrates project planning, full-stack implementation, testing, and code review into a cohesive production application development workflow.