Curiosity · After 12th
How to learn Explainable AI after 12th in Delhi
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. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Explainable AI coverage is genuine rather than a brochure keyword.
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)
The degree route
The degree route is a B.Tech with genuine Explainable AI depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
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.
Where Explainable AI skills lead
Graduates applying Explainable AI skills typically target roles such as ML Engineer (Evaluation), AI Research Associate, Responsible AI Analyst, Data Scientist, AI Safety Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
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
Can I learn Explainable AI after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Explainable AI-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
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