AI in Software Testing

AI in Software Testing

Professional Vue.js is a complete introduction to modern full-stack development. It covers the syntax, conventions, and best practices of modern JavaScript development while also teaching Vue.js, Node.js, and MongoDB. Through a series of hands-on exercises and demonstrations, students will learn how to develop and test complete Vue/Node/Mongo applications.

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Description

Master the future of quality assurance with AI-powered testing.

This hands-on course introduces software testers, QA professionals, and developers to the practical use of artificial intelligence in modern testing workflows. You’ll learn how to harness large language models (LLMs), such as ChatGPT and GitHub Copilot, to generate, analyze, and maintain test cases with greater speed and precision.

Through a progressive series of labs, you’ll explore real-world techniques for AI-assisted test creation, legacy code analysis, code coverage improvement, exploratory testing, synthetic data generation, and much more. You’ll also tackle the unique challenges of testing AI systems themselves, manage flaky tests, and integrate AI-generated tests into CI/CD pipelines. Ethical considerations and model limitations are addressed throughout to ensure responsible AI adoption.

By the end of the course, you’ll have built a fully AI-enhanced testing workflow, from test generation to reporting, and gained the skills to apply AI effectively and confidently in your software projects.

What You’ll Learn:

  • Prompt engineering for test generation
  • AI-assisted refactoring and code coverage
  • Testing legacy systems and regression protection
  • Exploratory, edge-case, and fuzz testing with AI
  • Generating synthetic test data
  • Managing test smells, flaky tests, and test maintenance
  • Testing AI/ML systems and understanding non-deterministic outputs
  • Integrating AI into CI/CD pipelines and test documentation workflows
  • Navigating the ethical and practical limitations of AI in testing

TARGET AUDIENCE

This course is designed for software testers, QA professionals, and software developers.

OBJECTIVES

  • All students will:
  • Boost Testing Productivity
  • Improve Test Coverage
  • Master AI-Powered QA Tools
  • Level-Up Prompt Engineering Skills
  • Tackle Real-World Scenarios
  • Streamline CI/CD Workflows
  • Write Maintainable, Clean Test Code
  • Generate Documentation Effortlessly
  • Work Smarter with AI, Not Blindly

DURATION

2-days

AI in Software Testing

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