Curiosity · After 12th
How to learn Conversational AI after 12th in Delhi
Conversational AI builds systems that hold multi-turn dialogue with users — managing state, grounding answers in data, calling tools and handling escalation. Modern implementations are language models wrapped in retrieval, memory and control logic. 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 Conversational AI coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Conversational AI
- 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 Conversational 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 Conversational AI
Conversational AI builds systems that hold multi-turn dialogue with users — managing state, grounding answers in data, calling tools and handling escalation. Modern implementations are language models wrapped in retrieval, memory and control logic. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Every layer is documented in VSET's published curriculum at learn.engineering.vips.edu: LLMs, prompt engineering, RAG, vector databases and agent frameworks.
- The 160+ page MCP library covers how a conversational system reaches tools and data sources.
- LangChain, LangGraph, CrewAI and AutoGen are all covered, which is the orchestration layer behind multi-turn control flow.
- Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.
Where Conversational AI skills lead
Graduates applying Conversational AI skills typically target roles such as LLM Application Developer, Conversational AI Engineer, NLP Engineer, AI Engineer, Conversation Designer. 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 Conversational AI after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Conversational AI-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is conversational AI covered at VSET?
Yes. The published curriculum covers LLMs, prompt engineering, RAG, vector databases and agent frameworks — the full stack a dialogue system is built from.
Do students build working chat systems?
Yes. RAG systems over VIPS-TC corpora are the flagship capstone, and they are grounded conversational applications.
How is tool use handled?
Through the Model Context Protocol, which VSET documents in a 160+ page library and which students implement as MCP servers.
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