The journey usually begins with the fundamentals if you want to develop strong AI and machine learning skills. Learning to be comfortable with Python, statistics, probability and linear algebra goes a long way later. From there, you can start to explore the concepts of machine learning, deep learning, NLP and how to work with real datasets on the practical side. One thing that a lot of learners find out pretty quickly is that theory alone is not enough, you need hands-on projects to really understand how models behave in real-world situations. That’s where structured AI and machine learning courses can be so valuable. H2K Infosys is one of its kind; it offers basic learning and hands-on training in an industry-oriented manner. Students get to work on real use cases instead of learning concepts from slides. If you are looking to build job-ready AI and machine learning skills, this is a pathway well worth considering.