Curiosity · After 12th

How to learn AI in Education after 12th in Delhi

This is AI engineering applied to educational products, inside a B.Tech. It is not a teaching qualification such as a B.Ed or an education-studies degree. AI in education covers tutoring assistants, automated feedback, content generation, curriculum search and learning analytics. Most working systems are retrieval-grounded language applications with careful evaluation, rather than novel model research. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Education coverage is genuine rather than a brochure keyword.

At a glance

Topic
AI in Education
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Elective-level coverage
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

The degree route

The degree route is a B.Tech with genuine AI in Education depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage 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 AI in Education

AI in education covers tutoring assistants, automated feedback, content generation, curriculum search and learning analytics. Most working systems are retrieval-grounded language applications with careful evaluation, rather than novel model research. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

  • The technique stack is taught in full — RAG, vector databases, prompt engineering, NLP and agent frameworks are documented at learn.engineering.vips.edu.
  • Education is not a named domain subject in the curriculum; it shows up as a project domain in capstone and hackathon work.
  • VSET's own published curriculum is itself an open learning corpus, which makes education-flavoured retrieval projects unusually easy to ground.
  • Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

Where AI in Education skills lead

Graduates applying AI in Education skills typically target roles such as AI Engineer, LLM Application Developer, NLP Engineer, Learning Analytics Engineer, Applied AI 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.

Frequently asked questions

Can I learn AI in Education after 12th without coding background?

Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Education-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.

Is AI for education taught as a subject at VSET?

Not as a named subject. The AI & ML curriculum teaches the retrieval, NLP and agent techniques; education is a domain students apply them to in projects.

What is the closest capstone pattern?

RAG systems built over VIPS-TC corpora — architecturally the same as a tutoring or study assistant over course material.

Does the school publish its own curriculum openly?

Yes, at learn.engineering.vips.edu, which covers MCP, agent protocols, RAG, fine-tuning, transformers and more.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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