Curiosity · Course availability
Does GGSIPU have a course in Deep Learning?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Deep Learning inside B.Tech CSE (AI & ML). 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. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Deep Learning
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
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.
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.
Frequently asked questions
Does GGSIPU have a course in Deep Learning?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Deep Learning inside B.Tech CSE (AI & ML).
Where does deep learning appear in the VSET curriculum?
It is part of the AI & ML track's published curriculum at learn.engineering.vips.edu, which also covers transformers, computer vision, NLP and fine-tuning.
Do students get GPUs for deep learning?
Yes. The AICTE IDEA Lab is equipped with GPU workstations, and the Quantum Research Lab supports research-grade experimentation.
Does the course stop at CNNs and RNNs?
No. The published material continues into transformer architecture, fine-tuning with LoRA/QLoRA, RAG and agentic systems.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31