Do I need prior experience with GitHub Copilot?

No. The course teaches Copilot techniques from the ground up, starting with test generation and building to complex workspace-level operations. Basic programming experience in Python or Rust is sufficient

What programming languages are used in this course?

The course uses Python with pytest for testing demonstrations and Rust for infrastructure-as-code and refactoring examples. You will work with real projects in both languages throughout the hands-on exercises.

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: AI-Augmented Testing and Refactoring

Q: Will I learn to deploy applications using AI-generated configurations?

Yes. The infrastructure-as-code module covers generating Ansible playbooks, Dockerfiles with distroless multi-stage builds, and Terraform configurations for cloud deployment — all using GitHub Copilot to accelerate the process.

This course is part of Mastering GitHub Specialization

Instructor: Alfredo Deza

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner 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.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI-assisted test-driven development to generate tests, mock dependencies, and evaluate test coverage using GitHub Copilot and PyTest
Analyze cross-file dependencies and execute system-wide code cleanup by leveraging @workspace references and style enforcement with GitHub Copilot
Create infrastructure-as-code configurations including Ansible playbooks, Dockerfiles, and Terraform modules using AI-assisted generation 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

Learn to accelerate your software development workflow by combining GitHub Copilot with test-driven development, system-wide refactoring, and infrastructure-as-code generation. This course teaches you to use AI assistance at every stage of code quality — from writing your first test to deploying containerized applications.

You will start with AI-assisted test-driven development, using GitHub Copilot to generate test cases, mock dependencies, and evaluate test coverage with pytest. You will then move to system-wide refactoring, leveraging @workspace references to analyze cross-file dependencies, enforce coding standards, and execute coordinated code cleanup across large codebases. The course concludes with infrastructure-as-code generation, where you use Copilot to produce Ansible playbooks, Dockerfiles with distroless multi-stage builds, and Terraform configurations for cloud deployment. Each lesson includes hands-on challenges and solution walkthroughs using real Rust and Python projects. By the end of this course, you will have a practical toolkit for integrating AI assistance into testing, refactoring, and infrastructure workflows — skills that directly reduce development cycle time while improving code quality.

Module details

Covers AI-assisted TDD fundamentals, generating complex test suites, mocking dependencies, hands-on TDD challenges, and evaluating test coverage with GitHub Copilot.

What's included

8 videos2 readings1 assignment

8 videosTotal 33 minutes

Course Introduction1 minute
Introduction to AI-Assisted TDD4 minutes
Generating Complex Test Suites7 minutes
Mocking Dependencies with Copilot4 minutes
Mocking Dependencies with Copilot4 minutes
Challenge: TDD for a New Feature2 minutes
Solving a Feature with TDD5 minutes
Evaluating Test Coverage5 minutes

2 readingsTotal 2 minutes

Key Terms: AI-Assisted Test-Driven Development1 minute
Reflection: AI-Assisted Test-Driven Development1 minute

1 assignmentTotal 5 minutes

AI-Assisted Test-Driven Development5 minutes

Covers strategic workspace usage, cross-file dependency analysis, system-wide code cleanup, style enforcement, custom guidelines, infrastructure-as-code generation with Dockerfiles and Terraform, and course conclusion.

What's included

9 videos4 readings2 assignments

9 videosTotal 40 minutes

Generating IaC Configurations4 minutes
Creating Dockerfiles with AI4 minutes
Terraform Configuration Generation4 minutes
Course Conclusion2 minutes
Strategic Use of Workspace5 minutes
Analyzing Cross-File Dependencies4 minutes
Challenge: System-Wide Code Cleanup4 minutes
Enforcing Styles and Constraints8 minutes
Generating Guidelines for Specific Tasks4 minutes

4 readingsTotal 40 minutes

Key Terms: Infrastructure as Code Generation10 minutes
Reflection: Infrastructure as Code Generation10 minutes
Key Terms: System-Wide Refactoring and Code Quality10 minutes
Reflection: System-Wide Refactoring and Code Quality10 minutes

2 assignmentsTotal 35 minutes

System-wide refactoring30 minutes
System-Wide Refactoring and Infrastructure as Code5 minutes

Apply AI-assisted testing, system-wide refactoring, and infrastructure-as-code generation techniques in an end-to-end development scenario that synthesizes all course concepts.