Definitely, and it is more common than a lot of people think. It’s less about what your degree is in and more about being able to demonstrate that you have practical skills and can solve real problems. Many people begin by taking structured AI and machine learning courses to learn Python, data analysis and machine learning concepts, then develop small projects to practise what they learned. That practical experience often leaves a greater impact than just academic credentials. If you are looking for a guided path then H2K Infosys is a good option as they provide a mix of industry focused training along with practical project work and career support. The learning curve may be steep at first, but with the right training and consistent effort, cutting over to AI and ML is much more possible than it looks from the outside.