How to learn TensorFlow after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine TensorFlow 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 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.

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.

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.