How to learn AI in Healthcare after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine AI in Healthcare 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 AI in Healthcare

AI in healthcare applies machine learning to clinical and operational problems — triage support, diagnostic assistance, patient record summarisation and outcome prediction. It is a domain that sits on top of ordinary ML, CV and NLP techniques, with unusually heavy regulatory and safety constraints. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

• VSET teaches the techniques healthcare AI is built from — deep learning, computer vision, NLP and RAG are all documented at learn.engineering.vips.edu — but healthcare itself is not a named domain subject.
• The honest position is that the clinical application appears in capstone and hackathon work rather than as taught vertical coursework.
• AI safety content in the same curriculum covers the evaluation and guardrail thinking that any clinical deployment demands.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where AI in Healthcare skills lead

Graduates applying AI in Healthcare skills typically target roles such as Machine Learning Engineer, Computer Vision Engineer, AI Engineer, Clinical Data Scientist, Applied AI Developer. 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.