शुरू करने से पहले आपको क्या जानना चाहिए
आप शुरू करें
शुरू होता है 4 June 2026 08:34
समाप्त होता है 4 June 2026
3 hours 22 minutes
वैकल्पिक अपग्रेड उपलब्ध है
शुरुआती
अपनी गति से आगे बढ़ें
Paid Course
वैकल्पिक अपग्रेड उपलब्ध है
अवलोकन
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.
पाठ्यक्रम
- AI-Assisted Test-Driven Development
- System-Wide Refactoring and Infrastructure as Code
- Capstone — AI-Augmented Development in Practice
द्वारा पढ़ाया गया
Alfredo Deza
विषय
Programming
