Pragmatic AI Labs

GitHub Production Applications

Pragmatic AI Labs

GitHub Production Applications

Alfredo Deza

Instructor: Alfredo Deza

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
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

Details to know

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Assessments

2 assignments

Taught in English

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There are 3 modules in this course

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

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
4 Courses 208 learners

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