How to learn PyTorch after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine PyTorch depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches PyTorch

PyTorch is a Python deep learning framework built around tensors and automatic differentiation, used to define, train and deploy neural networks. It is working tooling inside the machine learning and deep learning coursework of the CSE AI and ML specialisation at VSET. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• VSET offers B.Tech CSE with an AI and Machine Learning specialisation among its seven GGSIPU programmes.
• Deep learning coursework in that specialisation uses Python frameworks such as PyTorch for model building.
• Linear algebra, calculus and probability coursework supply the mathematics the framework automates.
• Python programming coursework across the CSE family is the prerequisite for framework work.

Where PyTorch skills lead

Graduates applying PyTorch skills typically target roles such as Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Research Engineer, Data Scientist. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.