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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 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.
Duration 3 Months
Institution Pragmatic AI Labs
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Pragmatic AI Labs.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $258
Total Est. Investment $258

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the GitHub Production Applications program at Pragmatic AI Labs are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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