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GenAI for QA - Masterclass in Testing & Automation [2025]

GenAI for QA test automation course: review

Original title
GenAI for QA - Masterclass in Testing & Automation [2025]
Category
Testing and QA
Course language
English
Hosted on
Udemy

Our analysis

GenAI for QA is an English-language course for testers who already automate, or are about to, and want to use AI assistants to write test cases, test data and code with less effort. We would recommend it because it pairs traditional frameworks such as Selenium and Rest Assured with AI tools, instead of promising that AI replaces those foundations.

Who it is for

  • Manual testers who want to move into automation with help from AI.
  • Automation engineers looking to speed up writing and maintaining tests.
  • QA leads assessing how to bring generative AI into their team's work.

What it covers

  • Using assistants such as ChatGPT, Claude and GitHub Copilot to generate test plans, test cases and data.
  • Web UI automation with Selenium WebDriver, with execution organized through TestNG.
  • API testing with Rest Assured.
  • Codeless automation with TestRigor.
  • Turning manual steps into code and building utilities with AI assistance.
  • Language models running locally, for more control over your data.

What to keep in mind

  • The course is taught in English.
  • Selenium with TestNG and Rest Assured make up a Java stack. If you do not know the language, the coding parts will be hard to follow even with AI writing some of it for you.
  • AI tools change quickly: the description mentions Bard, which Google has since replaced with Gemini. Expect some names or screens to have changed.
  • TestRigor is a commercial tool, and the published description is incomplete, so review the detailed syllabus before enrolling.

Where it fits in a path

Beforehand, you should have a grounding in software testing and some Java. If you do not program yet, take a Java fundamentals course first; our guide "How to choose a course on Udemy" helps you find one that matches your level. After this course, bring what you learned into a continuous integration pipeline and agree with your team on which code and data can be shared with cloud assistants. If you want to apply AI to work processes beyond testing, our guide "How to learn n8n" shows another way to automate with language models.

TintoDev analysis based on the course syllabus, approach and level. Check the free preview on Udemy before buying.