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As AI coding assistants become increasingly common in software development, engineering teams face a new challenge: how to increase productivity without compromising software quality, maintainability, and engineering standards.
This training helps participants combine Test-Driven Development (TDD) with GitHub Copilot to create sustainable AI-assisted engineering workflows. Rather than relying solely on AI-generated code, participants learn how to use AI as a collaborative development partner while maintaining accountability for software design and quality.
Throughout the training, learners explore practical techniques for writing effective tests, improving code quality through refactoring, reducing technical debt, and modernizing legacy applications. They also discover how AI-assisted workflows can support clean code practices and continuous improvement.
By combining proven engineering disciplines with AI-powered development tools, teams can build software faster while maintaining confidence, quality, and long-term maintainability.
Understand TDD principles and engineering benefits
Understand the role of AI coding assistants in software development
Apply AI-assisted engineering responsibly
Use the Red → Green → Refactor workflow
Write effective unit tests
Design maintainable test suites
Improve code quality through refactoring
Use Copilot for test, code and refactor
Improve productivity without sacrificing engineering quality
Apply clean code principles
Reduce complexity and duplication
Improve readability and testability
Refactor safely using AI-assisted workflows
Apply TDD to existing codebases
Improve test coverage incrementally
Break dependencies safely
Introduce seams and extensibility points
Understand CI/CD integration with TDD
Improve quality gates and automation workflows
Build sustainable AI-assisted engineering systems
Software Engineers
Full Stack Developers
Backend Developers
Frontend Developers
Technical Leads
Engineering Managers
QA Automation Engineers
Developers new to TDD
Teams adopting AI-assisted development
This module introduces the shift toward AI-assisted software engineering and explains how GitHub Copilot changes modern development workflows. Participants learn how AI coding assistants support productivity while maintaining engineering accountability and quality.
This module introduces core testing concepts and explains how unit testing improves software quality, maintainability, and confidence during development.
Participants learn the fundamentals of Test-Driven Development and how AI-assisted workflows can accelerate and improve TDD practices.
This module focuses on practical implementation workflows where GitHub Copilot supports development, testing, and iterative refinement.
This module focuses on improving software design incrementally using refactoring techniques and AI-assisted engineering workflows.
Participants learn practical strategies for introducing TDD into existing systems and improving legacy code safely using AI-assisted techniques.
This module explains how TDD integrates into modern engineering workflows and quality systems. Participants learn how to maintain quality through automation and engineering discipline.
Participants apply everything learned during the training to implement a complete AI-assisted engineering workflow using TDD and GitHub Copilot.
The AI-First Test-Driven Development with GitHub Copilot training brochure is currently being updated and will be available soon. In the meantime, contact us to learn more about the course agenda, learning outcomes, curriculum, hands-on activities, and overall training experience.
Upon completion of the training, participants will receive a Certificate of Completion for the AI-First Test-Driven Development with GitHub Copilot training. The certificate validates your participation in an intensive hands-on workshop focused on AI-assisted development, test-driven development (TDD), refactoring, software quality, and GitHub Copilot-powered engineering workflows.
This hands-on training teaches software professionals how to combine Test-Driven Development (TDD) with GitHub Copilot to build high-quality software faster. Participants learn testing, refactoring, AI-assisted coding, and modern engineering practices.
This training is designed for Software Engineers, Full Stack Developers, Backend Developers, Frontend developers, technical leads, engineering managers, QA automation engineers, and teams adopting AI-assisted development practices.
No. The training covers GitHub Copilot fundamentals and demonstrates how to use it effectively for coding, testing, refactoring, and improving software quality.
Yes. The workshop introduces TDD fundamentals and gradually progresses to advanced AI-assisted TDD workflows, making it suitable for both beginners and experienced developers.
GitHub Copilot can help generate tests, suggest implementation code, support refactoring activities, and accelerate development cycles while developers maintain control over quality and design decisions.
Yes. Participants learn practical techniques for introducing tests into existing systems, reducing technical debt, improving test coverage, and modernizing legacy applications safely.
Yes. The workshop includes coding labs, pair programming exercises, refactoring activities, live demonstrations, and real-world software engineering scenarios.
The training focuses on writing effective tests, applying clean code principles, reducing complexity, improving maintainability, and using AI responsibly to support engineering excellence.
Yes. Organizations increasingly seek developers who can effectively combine AI-assisted development tools with strong engineering practices. These skills can help professionals remain competitive in modern software development environments.
You will gain practical experience in Test-Driven Development, GitHub Copilot workflows, unit testing, refactoring, legacy code modernization, AI-assisted engineering, and continuous quality improvement practices.
Yes. Participants who complete the training will receive a Certificate of Completion recognizing their participation and understanding of AI-assisted test-driven development practices.
Yes. This workshop can be delivered as a private corporate training program tailored to your team's technology stack, development challenges, and engineering goals.
You can pay using debit/credit cards (MasterCard, Visa, American Express) or PayPal. Once payment is completed, you’ll receive an email confirmation.
Yes! Cancellations made within 24 hours of registration qualify for a full refund (minus payment gateway charges). Contact connect@agilemania.com for refund requests.
Leverage Our Tailor-Made Corporate AgileScrum, SAFe And DevOps Training Programs to Stay Ahead Of The Competition And Succeed In This Digital Economy.
Discover how top-performing development teams are combining Test-Driven Development, AI-assisted coding, refactoring, and quality engineering practices to deliver better software faster, and why developers who fail to adapt risk falling behind in an AI-first industry.
Gain the practical skills organizations are actively seeking to improve productivity, accelerate delivery, increase software quality, and confidently adopt GitHub Copilot. As AI-assisted development becomes the new standard, now is the time to build the expertise that sets you apart.
Secure Your Spot in AI-First Test-Driven Development with GitHub Copilot Training Today
Seats are limited. For corporate group training and private workshops, contact our team to discuss availability and customized training options.
