Curiosity · After 12th
How to learn AI Engineering after 12th in Delhi
AI engineering is the discipline of building production systems on top of AI models — retrieval, orchestration, tool integration, evaluation and deployment — rather than training models from scratch. It is where most industry AI work now sits. 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 Engineering coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI Engineering
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine AI Engineering 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 AI Engineering
AI engineering is the discipline of building production systems on top of AI models — retrieval, orchestration, tool integration, evaluation and deployment — rather than training models from scratch. It is where most industry AI work now sits. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- VSET's published curriculum is engineering-oriented: MCP (160+ pages), agent protocols (~100 pages), RAG, vector databases, orchestration frameworks and fine-tuning.
- Framework coverage spans LangChain, LangGraph, LlamaIndex, CrewAI and AutoGen.
- AI safety and evaluation material covers the reliability side of shipping AI systems.
- Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.
Where AI Engineering skills lead
Graduates applying AI Engineering skills typically target roles such as AI Engineer, LLM Application Developer, AI Platform Engineer, Machine Learning 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 Engineering after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI Engineering-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is VSET's AI teaching theoretical or build-oriented?
The published curriculum is heavily systems-oriented — MCP, agent protocols, RAG, vector databases and orchestration frameworks — and the capstone pattern is building working systems.
What does an AI engineering portfolio from VSET look like?
Typically a RAG system over VIPS-TC corpora, an MCP server, a LangGraph multi-agent orchestrator and a LoRA fine-tune of an open-weight model.
Is AI engineering a separate branch?
No. It is how the AI & ML and AI & DS tracks are taught; VSET's seven B.Tech programmes do not include a separate AI engineering degree.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31