Test Automation with AI Training

About the Corporate Test Automation with AI Training

Test Automation with AI Training is a 2-day corporate program that helps test teams use large language models (LLMs) and the Cursor AI tool for test scenario preparation, automation code development, debugging, and test maintenance. The program treats reviewing and validating AI-generated test assets as part of its hands-on work.

Participants generate test ideas and test data from a requirement and use Cursor to develop sample Selenium- or Playwright-based UI tests. They work on the Page Object Model (POM), improving existing tests, and analyzing flaky tests. In the integrated workshop, the process runs from a user story to a Gherkin scenario, step definitions, and working test code.

The prerequisite for the program is having completed the International Test Automation Training. That foundational program provides the background in automation approach and test design, while the training on this page focuses on applying AI to existing automation work.

Skills You Will Gain by the End of the Training

Write clear, evaluable prompts for test requirements.
Generate test scenario ideas and sample test data with LLM assistance.
Develop UI test code with Cursor and review the generated code.
Design test classes and methods using the Page Object Model approach.
Refactor existing tests, analyze error messages, and investigate flaky tests.
Develop step definitions and automation code from Gherkin scenarios.
Assess quality, data privacy, and human validation requirements in AI outputs.

Who Should Attend?

Test automation specialists and software testing teams.
Software developers who build automated tests.
Quality assurance teams planning to use Cursor and LLM tools in their testing processes.
Technical teams that want to improve test code maintenance and team-wide usage standards.

Test Automation with AI Training Outline

Module 1: Prompt Engineering and Generating Test Assets with LLMs

The role of AI in test automation processes.
Introduction to the “AI orchestrator” approach in testing.
Writing effective prompts: clarity, context, role, structure, tone, and iteration.
Comparing good and poor prompt examples.
Examples of using ChatGPT and Gemini in test automation.
Evaluating faulty or unverified AI outputs.
Workshop: Generating functional test ideas and valid/invalid test data for a feature.
Workshop: Reviewing an existing code block with LLM assistance.

Module 2: Developing Test Code with Cursor AI

Exploring the Cursor interface and its relationship to VS Code.
Working with AI Chat, inline code editing, and codebase context.
Generating Selenium or Playwright code for a simple UI test from natural language.
Preparing classes and methods that follow Page Object Model principles.
Refactoring existing test code to make it more readable.
Generating documentation for functions and classes.
Deriving likely causes and suggested fixes from error messages.
Workshop: Turning a core function on a sample web page into an automated test with Cursor’s help.

Teams that also want to deepen their automation foundation with Java and Selenium can explore the Test Automation with Java and Selenium Training program.

Module 3: Advanced Cursor Techniques and Integrated BDD Workshop

Reviewing and improving test code across multiple files using codebase context.
Managing code generation by breaking complex requirements into steps.
Analyzing the likely causes of flaky tests.
Creating .feature scenarios in Gherkin format from a user story.
Developing step definition code for BDD scenarios.
Completing the required Page Object classes and helper methods.
Investigating and fixing errors encountered during test runs.
Evaluating the quality of generated code, ethical use, and data privacy.
Organizing prompt examples that can be reused within the team.

Cursor for AI-Native Development Training is a related program for teams that also want to work on using Cursor for software development beyond test automation.

Prerequisites

Participants must have completed the Test Automation–Basic (International Test Automation) training.

Frequently Asked Questions About the Corporate Test Automation with AI Training

How long is the Test Automation with AI Training?

The training lasts 2 days and is offered live online or in person.

What prerequisite is required to attend?

The current program lists completion of the Test Automation–Basic (International Test Automation) training as a prerequisite.

Who is this corporate training suitable for?

It is suitable for test automation specialists, software testing and quality assurance teams, and software developers who build automated tests.

Is test code developed with Cursor in the training?

Yes. Participants use Cursor to develop sample UI tests, build Page Object Model structures, improve existing code, and debug.

Are Selenium and Playwright part of the training?

Yes. The program includes an example of generating Selenium or Playwright code for a simple UI test with the help of natural language.

Does the training include BDD and Gherkin practice?

Yes. In the integrated workshop, a Gherkin scenario is prepared from a user story, and step definitions and the required test classes are developed.

Does the training cover validating tests generated by AI?

Yes. The program covers evaluating the quality of generated test code, reviewing faulty outputs, analyzing flaky tests, and data privacy.