Curiosity · Course availability
Does GGSIPU have a course in Explainable AI?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Explainable AI inside B.Tech CSE (AI & ML). Explainable AI develops methods that make model decisions inspectable — attribution, feature importance, saliency and mechanistic analysis. It matters wherever an AI decision must be justified to a human. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Explainable 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 Explainable AI
Explainable AI develops methods that make model decisions inspectable — attribution, feature importance, saliency and mechanistic analysis. It matters wherever an AI decision must be justified to a human. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).
- The closest documented topic in the VSET curriculum is AI safety, published at learn.engineering.vips.edu.
- Deep learning and transformer material provides the architectural understanding interpretability work requires.
- Explainability is not published as a separate library topic, so coverage is best described as elective.
- 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 Explainable AI?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Explainable AI inside B.Tech CSE (AI & ML).
Is explainable AI a named subject at VSET?
No. AI safety is the named topic in the published curriculum; interpretability is best pursued as an elective or research direction on top of it.
Where can a student do interpretability work?
The Quantum Research Lab supports research-grade work, with GPU workstations in the AICTE IDEA Lab for experiments on open-weight models.
Does the curriculum give enough foundation?
It covers deep learning, transformer architecture, fine-tuning and AI safety, which is the technical base interpretability builds on.
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