How to become an AI engineer after 12th in India

AI is a great field to aim for, but the degree name matters less than the foundations under it. B.Tech AI/ML vs B.Tech CSE - CSE gives broader computer-science fundamentals: algorithms, operating systems, networks, databases. You can take AI electives later. - AI & ML / AI & DS branches add more maths, statistics and ML courses earlier. - At a good college, either works. If unsure, CSE keeps more doors open. Avoid choosing a weak college only because it has "AI" in the branch name. Other routes - B.Sc Maths/Statistics/CS, then a master's in AI or data science. - IIT Madras BS in Data Science alongside another degree. - ISI and CMI for students very strong in maths. The foundations that make AI engineers 1. Maths: linear algebra, calculus, probability and statistics. 2. Programming: Python first, plus data structures and algorithms. 3. Machine learning: classic ML, then deep learning (PyTorch). 4. Building: deploy small projects, like a chatbot over your notes, an image classifier, or a recommendation system. Explain what you measured. Kinds of AI roles - ML engineer (builds and deploys models). - AI/LLM application engineer (builds products using existing models). - Research scientist (usually needs a master's or PhD). - Data scientist and MLOps engineer. Start in school: learn Python, do maths properly, and try beginner courses like Google's or NPTEL's free ML courses. Guidopia's Career DNA can show your fit for AI and data careers and which ability gaps to work on.