Curiosity · Syllabus
Generative AI in a B.Tech — syllabus & what you learn
Generative AI covers models that produce new content — text, images, audio or code — rather than only classifying existing data. Large language models and diffusion models are its two most visible families. Inside a four-year B.Tech, Generative AI 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
- Generative 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)
How VSET teaches Generative AI
Generative AI covers models that produce new content — text, images, audio or code — rather than only classifying existing data. Large language models and diffusion models are its two most visible families. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Generative AI topics are documented in the open curriculum at learn.engineering.vips.edu, including transformers, fine-tuning and prompt engineering.
- Taught within the B.Tech CSE (AI & ML) track at VSET, affiliated to GGSIPU.
- The curriculum treats generative systems as engineering artefacts — retrieval, orchestration and evaluation — not just model theory.
- Related agent and protocol libraries (MCP, A2A) sit alongside the generative-model material.
Labs and infrastructure
- Generative model work runs on GPU workstations in the AICTE IDEA Lab.
- The Quantum Research Lab supports extended research use.
What students actually build
- Capstones include LoRA fine-tunes on open-weight models and RAG systems built over VIPS-TC corpora.
- Students also build MCP servers and LangGraph-based multi-agent orchestrators around generative models.
Frequently asked questions
When does Generative AI content actually start in a B.Tech?
Meaningful Generative AI 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 Generative AI taught at VSET?
Yes, as coursework inside the B.Tech CSE (AI & ML) track. The open curriculum at learn.engineering.vips.edu covers transformers, fine-tuning, RAG and prompt engineering.
Do students build generative AI projects?
Yes. The capstone pattern includes RAG systems over VIPS-TC corpora and LoRA fine-tunes of open-weight models.
Is there a separate Generative AI degree?
No. VSET offers seven B.Tech programmes; generative AI is taught within the AI & ML and AI & DS tracks rather than as its own 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