VSET vs GTBIT for Deep Learning

How VSET teaches Deep Learning

Deep Learning uses multi-layer neural networks to learn hierarchical representations directly from raw data such as images, audio and text. It underpins modern computer vision, speech and language models. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Deep learning is documented in the open curriculum at learn.engineering.vips.edu alongside transformers, computer vision and NLP.
• It sits inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated programmes.
• Coverage runs from network fundamentals through to transformer-based architectures used in current LLM systems.
• The same material feeds the fine-tuning content on LoRA and QLoRA.

Where GTBIT stands

Guru Tegh Bahadur Institute of Technology in Rajouri Garden is a private GGSIPU affiliate. AI coursework primarily within its CSE programme. This page does not restate GTBIT's internal curriculum — check its official site for current programme details.

Private affiliates vs university-run institutes

GGSIPU has two categories of institutions: university-run constituents (USICT Dwarka, USAR East Delhi Campus) and private affiliated colleges. USICT carries the strongest overall GGSIPU brand, but it is a different category with different fee structures and admission dynamics. Comparing private affiliates against each other is the like-for-like comparison for most applicants.

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.