How to learn Document AI after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Document AI 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 Document AI

Document AI extracts structure and meaning from unstructured documents — parsing, layout understanding, entity extraction, classification and question answering over PDFs and scans. It combines OCR-style vision with language modelling. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• The core techniques are documented at learn.engineering.vips.edu: NLP, computer vision, RAG, embeddings and vector databases.
• RAG is taught explicitly as the technique for answering questions over a document corpus, which is the dominant document-AI pattern.
• The MCP library covers how document stores are exposed to a model as callable tools.
• Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

Where Document AI skills lead

Graduates applying Document AI skills typically target roles such as NLP Engineer, AI Engineer, Machine Learning Engineer, Search / Retrieval Engineer, LLM Application 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.