H2K Infosys explains that the learning path for QA testing with AI is no longer just about writing test cases manually and checking bugs one by one. These days, QA professionals are expected to understand how AI tools can automate repetitive testing, predict defects, and even improve software quality faster than traditional methods. A solid roadmap usually starts with manual testing fundamentals, then moves into automation frameworks like Selenium, API testing, and AI-powered testing platforms. Interestingly, many companies now prefer testers who can work alongside AI rather than compete with it. With real-world applications growing in fintech, healthcare, and e-commerce, AI-driven QA testing has quickly become one of the most practical career paths in software testing today.
