What should I learn during college if I want to get into AI ?

If you want to get into AI, I’d focus first on strong fundamentals in programming, mathematics, and statistics rather than chasing every new AI tool. I came across bassbet while looking into different AI learning paths and found some useful ideas about what skills matter most. Python, linear algebra, probability, algorithms, and basic machine learning would give you a solid foundation. Building a few real projects during college can also teach you much more than courses alone.

Don't spend your entire degree only watching AI tutorials. Build a strong foundation first. I'd prioritize: Year 1: Programming, mathematics, computer fundamentals and problem-solving. Year 2: Data structures, databases, statistics, Python and basic machine learning. Year 3: Advanced ML, deep learning, AI projects, internships and portfolio development. You don't need 50 certificates. A few good projects that you can actually explain are much more useful. For example, build a recommendation system, prediction model, chatbot, image classification project, or data analysis application. Put your best work on GitHub and learn how to explain what you built, why you built it, what data you used, and what problems you faced. A degree gives you the foundation. Your projects and continuous learning show what you can actually do. MH Cognition's technology programs are also designed around emerging areas such as AI, ML and Data Science, so students interested in those fields can explore the available options.