Do I need to complete the other courses in the specialization first?

While this capstone integrates skills from the full specialization, you can participate with basic programming knowledge and familiarity with GitHub Copilot. Completing earlier courses provides the strongest foundation for success.

What programming language is used in this course?

The course demonstrates building a production application using a Makefile-driven workflow with Deno as the runtime. The development patterns and AI-assisted techniques apply broadly across languages and frameworks.

Is this course purely lecture-based or hands-on?

This is a fully hands-on capstone. Every lesson walks through building a real production application — from planning through implementation, testing, and review — using GitHub Copilot as an AI pair programmer.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

GitHub Production Applications

This course is part of Mastering GitHub Specialization

Instructor: Alfredo Deza

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Mastering GitHub Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in 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.

Module details

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

What's included

4 videos2 readings

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.

What's included

11 videos5 readings1 assignment

11 videosTotal 55 minutes

Task 1: The API Layer6 minutes
Implementing Data Validation5 minutes
Task 2: The Business Logic4 minutes
Handling Complex Business Rules5 minutes
Task 3: The Data Runtime Layer6 minutes
Working with ORMs and Persistence6 minutes
Task 4: The Test Suite4 minutes
End-to-End Testing Strategies4 minutes
Reviewing Your Implementation4 minutes
Comparing with Best Practices5 minutes
Final Reflections and Next Steps7 minutes

5 readingsTotal 50 minutes

Key Terms10 minutes
Reflection10 minutes
Key Terms10 minutes
Reflection10 minutes
Next Steps10 minutes

1 assignmentTotal 30 minutes

APIs, Business Logic, and Data Layers30 minutes

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.