Enhance software development with AI-powered Test-Driven Development.
This hands-on 1-day training teaches participants how to integrate AI tools such as ChatGPT and GitHub Copilot into TDD for faster coding, testing, refactoring, and debugging.
- Why get trained: Learn AI-assisted code generation, unit testing, test case creation, debugging, and refactoring.
- Why it matters: AI-enhanced TDD can improve development efficiency, code quality, and early defect detection.
- Who should attend: Beginners, experienced developers not practicing TDD, and developers already practicing TDD.
Build practical AI-TDD skills to improve coding and testing workflows. HRD Corp Claimable.
Overview
Ready to take your coding skills to the next level? Join our AI-Enabled Test-Driven Development (AI-TDD) Certification Training and discover how AI transforms software development. By 2025, 85% of software projects will incorporate AI tools like ChatGPT and GitHub Copilot.
This hands-on, 1-day course will teach you how to seamlessly integrate AI into Test-Driven Development (TDD), making coding faster, smarter, and more efficient.
You’ll learn AI-assisted code generation, refactoring, and debugging, which can help you cut development time by up to 50% while reducing production bugs by 40-80%. Whether you’re new to TDD or already practicing, this interactive workshop, filled with real-world case studies, group discussions, and live demonstrations, will give you the skills to stay ahead in AI-Enabled development.
Skills Covered
- Define the principles of Test-Driven Development (TDD) and the role of AI tools in enhancing the TDD process.
- Recall key TDD concepts such as red-green-refactor, test doubles, and unit tests.
- Explain the benefits of TDD in software development and how AI integration improves productivity and code quality.
- Describe the TDD process, highlighting the steps of writing failing tests, coding to pass tests, and refactoring.
- Demonstrate writing unit tests and applying TDD with AI assistance for simple coding tasks.
- Apply AI-driven TDD techniques to solve programming challenges, refactor code, and generate test cases.
- Analyze codebases to identify refactoring opportunities, leveraging AI tools for optimization.
- Evaluate the effectiveness of AI-enhanced unit tests in defect detection and maintaining code quality.
- Develop comprehensive test suites for complex systems using TDD principles and AI support.
- Design project-specific TDD strategies incorporating AI tools to address unique requirements and constraints.
- Critique and compare traditional and AI-Enabled TDD methodologies, assessing their impact on development outcomes.
- Assess the broader implications of integrating AI into TDD on software processes and project success.
Prerequisites
No prior TDD experience is required. Whether you’re new to TDD or already practicing it, this course covers fundamental to advanced concepts, ensuring a seamless learning experience for all skill levels.
Target Audience
- Anyone New to Programming
- Experienced but Not Practicing TDD
- Experienced and Practicing TDD
Module 1: Unit Testing Fundamentals
Discover why unit testing is essential in software development. Learn key concepts like isolation, control, and test doubles, and explore different test types. Learn to use the xUnit framework to write reliable unit tests that improve code quality and maintainability.
Module 2: Introduction to TDD
Uncover the Test-Driven Development (TDD) approach and its benefits. Learn why writing tests before coding leads to cleaner, more efficient code. Explore the “Test First” mindset and how TDD enhances collaboration, design, and long-term software stability.
Module 3: Driving Development with TDD
Master the TDD workflow by writing effective unit tests before developing code. Practice refactoring to improve code design and maintainability. See how AI tools like ChatGPT streamline the process, making development faster and more efficient.
Module 4: Collaboration and Learning
Engage in interactive learning with hands-on activities powered by ChatGPT. Experience pair programming and peer reviews, gaining real-time AI-driven insights to improve code quality. Learn how to customize TDD practices to fit your team’s unique needs.
Module 5: Emergent Design and Refactoring
Understand emergent design principles and how TDD naturally leads to better software architecture. Explore refactoring techniques to write cleaner, more maintainable code, with AI-driven suggestions from ChatGPT. Apply Clean Code principles to enhance readability and efficiency.
Module 6: Working with Legacy Code
TDD isn’t just for new projects! Learn strategies to apply TDD to legacy codebases, break dependencies, and gradually improve code quality. Discover how ChatGPT can assist in refactoring and modernizing existing applications while maintaining functionality.
Module 7: Continuous Integration with TDD
Integrate TDD into Continuous Integration (CI) pipelines to ensure stable, automated software delivery. Learn best practices for running tests in CI/CD workflows, reducing errors, and maintaining high-quality production-ready code with AI-assisted optimizations.
Exam & Certification
Complete our 1-day AI-Enabled Test-Driven Development (AI-TDD) Training to receive the Test-Driven Development with AI certificate from Agilemania. This validates your ability to use AI for writing tests, generating code, and improving development quality
Training & Certification Guide
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