B.Tech AI / ML

Dedicated AI/ML specialisation distinct from generic CSE — focuses on mathematics, model building, and MLOps. India's AI hiring is projected at ~380K openings by end of 2026.

Is B.Tech AI / ML right for you?

Discover your ideal stream with a scientific assessment

Core Subjects

Linear AlgebraProbability & StatisticsMachine LearningDeep LearningNatural Language ProcessingComputer VisionData Structures & AlgorithmsMLOps

Career Opportunities

AI EngineerMachine Learning EngineerData ScientistNLP EngineerComputer Vision EngineerMLOps Engineer

How to Prepare for This Stream

1.Master Python early and build 3–5 portfolio projects
2.Take Andrew Ng / fast.ai courses alongside coursework
3.Compete on Kaggle to build a public profile
4.Publish on GitHub — recruiters scan portfolios

A Typical Day in B.Tech AI / ML

Lectures on probability and neural nets, lab time training models on cloud GPUs, project standups, paper-reading clubs on the latest LLM research, and self-study to keep up with weekly arXiv releases.

Difficulty Level

high

Beyond10th — Helping students find the right academic stream