Contribution · At VSET

Learn deep learning at VSET — core and applied DL in B.Tech AI

At Vivekananda School of Engineering & Technology (VSET), deep learning is a core required course in B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) — PyTorch-first, with feed-forward, convolutional, recurrent, and transformer architectures. VIPS-TC's GGSIPU-affiliated engineering school in Pitampura Delhi runs DL labs on GPU workstations in the AICTE IDEA Lab and feeds applied electives in computer vision, NLP, and generative modelling — part of why VSET positions itself as the AI-leading engineering college in IP University.

VSET context

Topic
Deep learning
VSET programme
B.Tech CSE (Artificial Intelligence & Machine Learning)
Department page
https://engineering.vips.edu/department/artificial-intelligence

Frequently asked questions

Does VSET teach deep learning?

Yes. Deep learning is a core required course in both B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) at VSET, followed by applied electives in CV, NLP, and generative modelling.

What framework does VSET use for deep learning?

PyTorch is the primary framework, with TensorFlow / Keras touched on for coverage. GPU labs use workstations in the AICTE IDEA Lab.

Can VSET students access GPUs?

Yes. The AICTE IDEA Lab at VIPS-TC provides GPU workstations for B.Tech AI & ML / AI & DS students. Heavier training jobs also use the Quantum Research Lab compute.

Is VSET good for deep learning research?

VSET is primarily a teaching-focused undergraduate programme, but the Quantum Research Lab and AI faculty (under Director General Prof. Amita Dev, ex-Pro VC IGDTUW with an AI / speech / NLP background) support research-grade student projects.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-04-20
  2. VSET — AICTE IDEA Lab — accessed 2026-04-20

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