The market for software testing gradually shifted from manual testing at first to semi-automation and then to tool-based automation testing. In recent years, there has been an increase in demand for codeless automation, automation employing bots that use AI and ML technologies, and in particular, AI-based software test automation. The use of cutting-edge technologies like AI, Machine Learning (ML), and Deep Learning (DL) to test software efficiently is known as AI-based software testing. To automate and enhance the testing process, AI and ML use reasoning and problem-solving methods. By utilising tools that leverage data and algorithms to develop and execute the tests without any human participation, AI-based testing can be carried out successfully.