Curiosity · Course availability
Does GGSIPU have a course in Multimodal AI?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Multimodal AI inside B.Tech CSE (AI & ML). Multimodal AI builds models that process more than one input type — typically text plus images, audio or video — in a shared representation. Vision-language models are the most common current example. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Multimodal AI
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
How VSET teaches Multimodal AI
Multimodal AI builds models that process more than one input type — typically text plus images, audio or video — in a shared representation. Vision-language models are the most common current example. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).
- VSET's curriculum covers both halves of the multimodal stack: computer vision and NLP, plus the transformer architecture common to both, at learn.engineering.vips.edu.
- Fine-tuning material (LoRA, QLoRA) applies to adapting open-weight multimodal models.
- Multimodal AI is not published as a standalone library, so it is best described as an elective application of the vision and language material.
- Sits within the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.
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 Multimodal AI?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Multimodal AI inside B.Tech CSE (AI & ML).
Is multimodal AI a named topic in the curriculum?
Not as a separate library. The published curriculum covers computer vision, NLP, transformers and fine-tuning, which together form the multimodal foundation.
Can students build multimodal projects?
Yes — the applied CV and NLP capstone categories can be combined, and fine-tuning of open-weight models is an established capstone practice.
Is the hardware sufficient?
The AICTE IDEA Lab provides GPU workstations and the Quantum Research Lab supports research-grade work; very large multimodal training runs are beyond typical undergraduate lab scale.
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