Curiosity · Syllabus
Multi-Agent Systems in a B.Tech — syllabus & what you learn
Multi-agent systems coordinate several autonomous agents that communicate, divide work and negotiate towards a shared goal. In the LLM era this means orchestration graphs, message protocols and role specialisation. Inside a four-year B.Tech, Multi-Agent Systems 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
- Multi-Agent Systems
- 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 Multi-Agent Systems
Multi-agent systems coordinate several autonomous agents that communicate, divide work and negotiate towards a shared goal. In the LLM era this means orchestration graphs, message protocols and role specialisation. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- VSET's ~100 page A2A (agent-to-agent) protocols library directly covers inter-agent communication.
- Orchestration frameworks LangGraph, CrewAI and AutoGen are all documented at learn.engineering.vips.edu.
- The MCP library covers the tool and data interface layer that agents in a system share.
- Taught within the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.
Labs and infrastructure
- Multi-agent runs use GPU workstations in the AICTE IDEA Lab.
- The Quantum Research Lab supports larger research-scale orchestration experiments.
What students actually build
- Multi-agent orchestrators built on LangGraph are an established capstone pattern at VSET.
- Student teams take multi-agent builds into hackathons including the Smart India Hackathon.
Frequently asked questions
When does Multi-Agent Systems content actually start in a B.Tech?
Meaningful Multi-Agent Systems 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.
Does VSET teach multi-agent orchestration?
Yes. The curriculum includes an agent-protocols (A2A) library of about 100 pages plus LangGraph, CrewAI and AutoGen material, and multi-agent orchestrators are a capstone pattern.
Which framework do students use for multi-agent projects?
LangGraph is the framework named in the capstone pattern; CrewAI and AutoGen are also covered in the published curriculum.
How do agents in these projects share tools?
Through the Model Context Protocol layer, 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