Does GGSIPU have a course in Gradient Descent and Optimization?

How VSET teaches Gradient Descent and Optimization

Gradient descent iteratively moves model parameters down the slope of a loss function; variants such as SGD, momentum and Adam control how large and how noisy those steps are. Every trained model in modern AI comes out of some version of this loop. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Optimisation is the engine underneath the machine learning and deep learning material published at learn.engineering.vips.edu.
• Learning-rate behaviour, convergence and loss landscapes are taught before the transformer content that depends on them.
• The same optimisation loop reappears in the fine-tuning material, where only adapter weights are updated.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

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.