How to learn AI in Manufacturing after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine AI in Manufacturing depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech Industrial Internet of Things — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches AI in Manufacturing

AI in manufacturing covers predictive maintenance, visual defect inspection, process optimisation and production forecasting on the factory floor. The defining constraint is that the data comes from machines and sensors in real time, which makes it an industrial IoT problem first. At VSET this maps to elective-level coverage inside B.Tech Industrial Internet of Things.

• VSET runs a full B.Tech in Industrial Internet of Things — the industrial sensing and connectivity layer that manufacturing AI depends on is a degree track, not an afterthought.
• The AI side — deep learning, computer vision, anomaly-style modelling — is documented in the curriculum published at learn.engineering.vips.edu.
• Manufacturing itself is not taught as a domain subject; the application appears in capstone and hackathon project work.
• IIoT is one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where AI in Manufacturing skills lead

Graduates applying AI in Manufacturing skills typically target roles such as IoT Engineer, Industrial Automation Engineer, Computer Vision Engineer, Machine Learning Engineer, Embedded Systems 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.