PyTorch internships for B.Tech students in Delhi

What students actually build

• Deep learning capstone projects at VSET are commonly built with PyTorch.
• Smart India Hackathon teams use it to build model-backed prototypes inside the event window.

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.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

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.