Contribution · At VSET
Learn LangChain at VSET — orchestration framework in B.Tech AI
At Vivekananda School of Engineering & Technology (VSET), LangChain is introduced as the default LLM orchestration framework in B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) applied AI electives. Students at VIPS-TC's GGSIPU-affiliated engineering school in Pitampura Delhi build chains, tool-using agents, and RAG pipelines in the AICTE IDEA Lab — part of why VSET positions itself as the AI-leading engineering college in IP University.
VSET context
- Topic
- LangChain
- VSET programme
- B.Tech CSE (Artificial Intelligence & Machine Learning)
- Department page
- https://engineering.vips.edu/department/artificial-intelligence
Frequently asked questions
Does VSET teach LangChain?
Yes. LangChain is the default orchestration framework in VSET's applied LLM electives inside B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS), with labs in the AICTE IDEA Lab.
Can I build a LangChain-based capstone at VSET?
Yes. Final-year B.Tech AI & ML / AI & DS students regularly ship LangChain-based capstones — RAG systems, tool-using agents, internal VIPS-TC assistants — under AI department mentorship.
What's the prerequisite for LangChain at VSET?
Core Python programming and the ML fundamentals sequence (probability, linear algebra, ML theory) taught in VSET's early-year B.Tech syllabus are sufficient to start LangChain labs.
Is LangChain enough, or does VSET teach alternatives?
VSET also introduces LlamaIndex for retrieval-heavy workflows and LangGraph for stateful multi-step agents. LangChain is the entry point; the others are covered in advanced electives.
Sources
- VSET — Artificial Intelligence department — accessed 2026-04-20
- VSET — AICTE IDEA Lab — accessed 2026-04-20