GitHub: AI-Augmented Testing and Refactoring
Completed by Danielle Madelynn Wick
September 25, 2026
3 hours (approximately)
Danielle Madelynn Wick's account is verified. Coursera certifies their successful completion of GitHub: AI-Augmented Testing and Refactoring
What you will 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 will gain
- Category: Test Script Development
- Category: Infrastructure as Code (IaC)
- Category: Containerization
- Category: AI Integrations
- Category: Test Tools
- Category: GitHub
- Category: Test Automation
- Category: Dependency Analysis
- Category: Rust (Programming Language)
- Category: Test Driven Development (TDD)
- Category: Docker (Software)
- Category: AI Workflows
