Curiosity · Syllabus

LangChain in a B.Tech — syllabus & what you learn

LangChain is an open-source framework for composing LLM applications from chains, tools, retrievers and memory components. It is one of the most widely used scaffolds for RAG and agent systems. Inside a four-year B.Tech, LangChain arrives in layers: programming and mathematics foundations in years one and two, core methods next, and applied depth concentrated in years three and four plus the capstone. Using Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura's B.Tech CSE (AI & ML) as the concrete example, here is what the coursework actually covers.

At a glance

Topic
LangChain
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

How VSET teaches LangChain

LangChain is an open-source framework for composing LLM applications from chains, tools, retrievers and memory components. It is one of the most widely used scaffolds for RAG and agent systems. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • LangChain is explicitly covered in VSET's published AI curriculum at learn.engineering.vips.edu.
  • It is taught with LangGraph, LlamaIndex, CrewAI and AutoGen so students can compare frameworks.
  • It connects to the RAG, vector database and prompt engineering material in the same curriculum.
  • Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

Labs and infrastructure

  • LangChain applications calling locally hosted models run on the AICTE IDEA Lab GPU workstations.

What students actually build

  • LangChain-style composition underpins the RAG systems students build over VIPS-TC corpora.
  • Framework work carries into hackathon builds including the Smart India Hackathon.

Frequently asked questions

When does LangChain content actually start in a B.Tech?

Meaningful LangChain content typically ramps up from the second or third year, after programming and mathematics foundations. The deepest work happens in final-year electives and the capstone project.

Is LangChain taught at VSET?

Yes — it is one of the frameworks documented in the open AI curriculum at learn.engineering.vips.edu, alongside LangGraph, LlamaIndex, CrewAI and AutoGen.

Do students use LangChain in projects?

Framework-based composition is used in the RAG capstones built over VIPS-TC corpora and in agent orchestration projects.

Is the curriculum tied to one framework?

No. Several frameworks are documented side by side, which lets students choose per project rather than learning a single vendor stack.

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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