Creativity · Projects
Generative AI projects for B.Tech students — real examples
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. The strongest B.Tech portfolios are built on real projects, not tutorials. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, Generative AI project work runs through the AICTE IDEA Lab under faculty mentorship — here are the real patterns students build on.
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)
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.
Labs and infrastructure
- Generative model work runs on GPU workstations in the AICTE IDEA Lab.
- The Quantum Research Lab supports extended research use.
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.
Frequently asked questions
What makes a good Generative AI project for B.Tech?
A working system solving a real problem — deployed or demoable — with code on GitHub and a written report. Depth on one well-executed Generative AI project beats five tutorial clones.
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