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GitHub Production Applications

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GitHub Production Applications

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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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.

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

What's included

4 videos3 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 videos Total 55 minutes

Task 1: The API Layer 6 minutes
Implementing Data Validation 5 minutes
Task 2: The Business Logic 4 minutes
Handling Complex Business Rules 5 minutes
Task 3: The Data Runtime Layer 6 minutes
Working with ORMs and Persistence 6 minutes
Task 4: The Test Suite 4 minutes
End-to-End Testing Strategies 4 minutes
Reviewing Your Implementation 4 minutes
Comparing with Best Practices 5 minutes
Final Reflections and Next Steps 7 minutes

5 readings Total 50 minutes

Key Terms 10 minutes
Reflection 10 minutes
Key Terms 10 minutes
Reflection 10 minutes
Next Steps 10 minutes

1 assignment Total 30 minutes

APIs, Business Logic, and Data Layers 30 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.

What's included

1 assignment

Instructor

Alfredo Deza

Pragmatic AI Labs

9 Courses 314 learners

Offered by

Pragmatic AI Labs

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Frequently asked questions

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.

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.

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.

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.