AI & Machine Learning
Generative AI for Software Test Automation
Use generative AI to build and maintain automated tests.
3 daysIntermediate1 modules
About this course
Use generative AI to build and maintain automated tests. Over three days you will generate test scenarios, unit and UI tests, design reliable locator strategies, structure maintainable suites and learn to catch and fix errors in AI-written test code.
What you'll learn
- Use generative AI to produce and refine test scenarios for functional, boundary, and error conditions in a defined application.
- Evaluate AI-generated test scenarios and test code for correctness, coverage, and alignment with specified requirements.
- Generate and execute automated unit and UI tests using a test automation framework.
- Identify and correct errors in AI-generated test code through debugging and test execution feedback.
- Apply appropriate test design techniques, including assertions, test structure, and locator selection for UI automation.
- Distinguish between unit, integration, API, and UI tests and select appropriate automation approaches for each.
- Incorporate automated tests into a basic continuous integration workflow and interpret test results for decision-making.
Curriculum
1 modules
- Defining Test Automation Goals
- Generating and Evaluating Test Scenarios with AI
- Application Architecture and Test Automation
- Generating and Reviewing Unit Tests
- Structuring Maintainable Automated Tests
- Evaluating AI-Generated UI Tests
- Designing Reliable Locator Strategies
- Generating, Executing, and Improving Complete UI Tests
- Assessing Automation Candidates and Readiness
- Developing a Whole-Application Automation Strategy
- Integrating Automated Tests into Build and Deployment Processes
- Extending Automation and Creating an Adoption Roadmap
Who it's for
Test automation engineers, QA leads and developers responsible for testing.
Before you start
- A basic understanding of GenAI principles is recommended
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