H2K Infosys provides a practical path to learn AI in QA testing in the USA step by step. Start with the basics of software testing, including manual testing, test case design, and defect tracking. Next, build strong knowledge of automation tools such as Selenium, Java, and API testing. Once the QA foundation is clear, move into AI concepts like machine learning, data handling, intelligent test optimization, and predictive analytics in testing. Practice with real-time projects, industry use cases, and hands-on lab sessions. Finally, strengthen your job readiness with resume support, interview preparation, and placement assistance to begin a successful AI QA career.
