GitHub Production Applications
Build a complete production application from scratch using GitHub Copilot as your AI pair programmer. This capstone course guides you through every phase of...
By Alfredo Deza on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does GitHub Production Applications cost?
Visit the GitHub Production Applications course page for current pricing and available discounts.
Who teaches GitHub Production Applications?
GitHub Production Applications is taught by Alfredo Deza, Pragmatic AI Labs.
What skill level is GitHub Production Applications for?
This course is designed for advanced learners.
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