Two people in Punjab can both say they want to learn AI and need entirely different courses. One has never written code. The other has built small Python scripts and wants to work with language models. Choosing by course title alone, whether “AI”, “ML” or “Generative AI”, hides that difference. This article explains how the main AI skills depend on one another, how to check whether you are ready for the next step, and what a Machine Learning project should actually prove. It is written for learners comparing programmes in Punjab, whichever provider they choose. How AI skills build on one another Machine learning sits inside the wider field of AI, and generative AI is built on top of machine learning, so each layer assumes the one before it. The table below turns that into checks you can run on yourself. Stage What it covers You are ready to move on when you can… Programming and data foundations Python, tables of data in Pandas, basic statistics Load a CSV file, handle missing val...