How to learn Supervised Learning after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Supervised Learning depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth 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 Supervised Learning

Supervised learning trains a model on labelled examples so it can predict the label of inputs it has never seen. Classification and regression are its two standard problem shapes, and it is the entry point to almost every applied machine learning system. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Supervised learning is the foundational paradigm underneath the machine learning material published at learn.engineering.vips.edu.
• It is named in the degree itself — B.Tech CSE (Artificial Intelligence & Machine Learning) — and precedes the deep learning and transformer topics in the same curriculum.
• The loss functions and gradient methods taught here are the same machinery later reused in fine-tuning coverage such as LoRA and QLoRA.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where Supervised Learning skills lead

Graduates applying Supervised Learning skills typically target roles such as Machine Learning Engineer, Data Scientist, Applied ML Researcher, AI Engineer, Analytics 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.