How to learn Linear Algebra for AI after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Linear Algebra for AI depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (Applied Mathematics) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Linear Algebra for AI

Linear algebra covers vectors, matrices, linear transformations, eigenvalues and decompositions, which is the language neural networks, embeddings and dimensionality reduction are written in. It is core engineering mathematics coursework at VSET and deepens in the Applied Mathematics specialisation. At VSET this maps to documented coursework depth inside B.Tech CSE (Applied Mathematics).

• Linear algebra is part of the core engineering mathematics coursework across VSET's B.Tech programmes.
• VSET offers B.Tech CSE with an Applied Mathematics specialisation, which extends the mathematical treatment.
• The CSE AI and ML specialisation applies this material directly to model training and representation.
• Matrix computation here is the basis for the machine learning coursework students meet later.

Where Linear Algebra for AI skills lead

Graduates applying Linear Algebra for AI skills typically target roles such as Machine Learning Engineer, Data Scientist, Research Engineer, Computer Vision Engineer, Quantitative Analyst. 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.