TensorFlow internships for B.Tech students in Delhi

What students actually build

• Vision and prediction capstone projects at VSET are frequently built with TensorFlow or Keras.
• Hackathon teams use it where a pretrained model can be adapted quickly to a problem statement.

How VSET teaches TensorFlow

TensorFlow is a deep learning framework for building, training and deploying neural networks, with Keras as its high-level modelling interface and strong support for production serving. It is working tooling inside the machine 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.
• Machine learning and deep learning coursework there uses Python frameworks including TensorFlow and Keras.
• Linear algebra, calculus and probability coursework supply the mathematics behind the framework operations.
• Deployment of trained models connects to the cloud computing coursework in the CSE track.

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 TensorFlow skills lead

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