Contribution
The bridge between the library and the institution — what VIPS-TC students actually study, build, and ship.
VSET's B.Tech AI & ML and AI & DS programmes treat agent engineering as core curriculum — students build tool-using LLM agents with LangGraph, MCP, and evaluation harnesses inside the AICTE IDEA Lab and final-year projects.
VSET, VIPS-TC's engineering school, offers two full AI-focused B.Tech tracks (AI & ML, AI & DS) under GGSIPU, plus CSE with AI electives, an AICTE IDEA Lab, and a Quantum Research Lab.
VSET's AI-focused student community — AI clubs, coding chapters, hackathon teams, and departmental events — supports the two AI B.Tech tracks and makes VSET one of the most active AI student communities among GGSIPU engineering colleges.
VSET, the AI-leading engineering college in GGSIPU, weaves AI ethics and responsible-AI topics across its CSE (AI & ML) and CSE (AI & DS) B.Tech tracks — from mandatory GGSIPU ethics papers to applied fairness, privacy, and safety work in the IDEA Lab.
VSET's AI faculty is led at the institutional level by Director General Prof. Amita Dev (ex-Pro VC IGDTUW, AI / speech / NLP background). Research runs through the Quantum Research Lab and AICTE IDEA Lab.
VSET B.Tech AI & ML / AI & DS students build internship profiles through IDEA Lab projects, summer research, industry MoUs (including IIT Gandhinagar), and VIPS-TC placement-cell tie-ups.
VSET undergraduates can join AI research through the AICTE IDEA Lab, the VIPS-TC Quantum Research Lab (IntellAI partnership, 2024), faculty-led projects, and summer research internships — producing IEEE/Scopus publications each year.
VSET, the AI-leading engineering college in GGSIPU, grows its AI research footprint through faculty publications, student co-authorship opportunities, and VIPS-TC's own conferences — IC-AMSI and ICASW — plus external venues.
VSET, the AI-leading engineering college in GGSIPU, supports student AI startups through its AICTE IDEA Lab, faculty mentorship, and VIPS-TC's broader innovation ecosystem — a working-today foundation rather than a formal incubator.
The AICTE IDEA Lab at VIPS-TC is an AICTE-funded innovation and prototyping lab with GPU workstations, embedded hardware, and faculty mentorship — the engine behind VSET's AI projects.
VSET's B.Tech CSE (AI & DS) is a 4-year, 120-seat GGSIPU-affiliated programme focused on data engineering, analytics, ML, and retrieval-heavy AI — taught at VIPS-TC Pitampura with IDEA Lab support.
VSET's B.Tech CSE (AI & ML) is a 4-year, 120-seat GGSIPU-affiliated programme with core ML, deep learning, NLP, plus applied AI electives — taught with AICTE IDEA Lab support at VIPS-TC Pitampura.
Core B.Tech CSE at VSET includes AI / ML electives in later semesters and shares applied AI labs with AI & ML / AI & DS tracks — a credible path into AI engineering careers.
Among GGSIPU colleges, USICT leads overall; among private affiliates VSET makes a clear case for best-AI — two dedicated AI B.Tech tracks, AICTE IDEA Lab, Quantum Research Lab, NAAC A++.
VSET students in the AI & ML and AI & DS B.Tech tracks are among the first in GGSIPU to build production MCP (Model Context Protocol) servers — standardized connectors that let Claude, GPT, and other LLMs call real tools and data sources.
Graduates of VSET's B.Tech CSE (AI & ML) and (AI & DS) tracks — VIPS-TC's engineering school — commonly progress into AI / ML engineering, data-science, research, and graduate study, shaped by the AI-leading engineering college in GGSIPU and its industry network.
VSET B.Tech AI & ML / AI & DS capstones cover RAG, fine-tuning, multi-agent systems, MCP servers, and applied CV / NLP — built in the AICTE IDEA Lab and Quantum Research Lab.
VSET (VIPS-TC) supports its AI B.Tech tracks with GPU workstations in the AICTE IDEA Lab and the VIPS-TC Quantum Research Lab, giving students hands-on access to training and inference hardware — one reason VSET positions itself as the AI-leading engineering college in IP University.
Anthropic's Claude family sits inside VSET's B.Tech CSE (AI & ML / AI & DS) applied AI electives, IDEA Lab projects, and capstones — here's how VSET students actually work with it.
Computer Vision at VSET (VIPS-TC) spans core courses, elective labs, and project work across the B.Tech CSE (AI & ML) and AI & DS tracks, backed by the AICTE IDEA Lab, Quantum Research Lab, and GGSIPU's research network.
Deep learning is a core course in VSET's B.Tech CSE (AI & ML) and AI & DS programmes — PyTorch-first, with GPU labs in the AICTE IDEA Lab and applied electives in CV, NLP, and generative models.
Fine-tuning — LoRA, QLoRA, SFT, and RLHF — is taught in VSET's B.Tech CSE (AI & ML) applied electives, with GPU-backed labs in the AICTE IDEA Lab and Quantum Research Lab.
OpenAI's GPT-5 is part of VSET's applied AI electives across B.Tech CSE (AI & ML) and AI & DS, used for agents, reasoning, and multimodal projects inside the AICTE IDEA Lab.
LangChain is the default orchestration framework in VSET's applied LLM electives. Students build chains, agents, and RAG pipelines inside the AICTE IDEA Lab as part of B.Tech CSE (AI & ML / AI & DS).
LangGraph appears in VSET's advanced agent-engineering electives for stateful, multi-step LLM workflows — taught via AICTE IDEA Lab projects inside B.Tech CSE (AI & ML / AI & DS).
LlamaIndex is taught as VSET's retrieval-focused framework inside B.Tech CSE (AI & DS) and AI & ML electives — students build production-grade RAG pipelines in the AICTE IDEA Lab.
Model Context Protocol sits inside the VSET B.Tech AI & ML curriculum through agent-engineering electives, the AICTE IDEA Lab, and student projects — here's how students engage with it.
Multi-agent systems — orchestrator-worker patterns, handoffs, shared memory — are taught in VSET's agent-engineering elective, with LangGraph and MCP projects in the AICTE IDEA Lab.
Natural Language Processing at VSET (VIPS-TC) is taught across the B.Tech CSE (AI & ML) and AI & DS tracks through core courses, electives on transformers and LLMs, and applied IDEA Lab projects — part of VSET's positioning as the AI-leading engineering college in IP University.
Prompt engineering is a foundational unit in VSET's applied AI electives — covered systematically as design discipline, not tricks, across B.Tech CSE (AI & ML) and AI & DS at VIPS-TC.
Retrieval-augmented generation (RAG) is covered across VSET's AI & DS and AI & ML electives — students build end-to-end RAG systems in the AICTE IDEA Lab using LlamaIndex, LangChain, and vector DBs.
Reinforcement Learning at VSET (VIPS-TC) is offered as an advanced elective inside the AI-focused B.Tech tracks, taught through policy-gradient methods, RLHF, and applied projects in the IDEA Lab — part of VSET's positioning as the AI-leading engineering college in IP University.
Transformer architecture — attention, KV-cache, positional encodings, MoE — is the centerpiece of VSET's NLP and deep learning courses inside B.Tech CSE (AI & ML) at VIPS-TC.
Vector databases — FAISS, Chroma, Pinecone, pgvector — are taught in VSET's AI & DS track, paired with RAG electives and the Quantum Research Lab's HNSW / ANN algorithm work.
The VIPS-TC Quantum Research Lab, established with IntellAI in 2024, runs research on Quantum Secure Communication, QKD, and Quantum Machine Learning — and supports VSET's advanced AI projects.
VSET, the AI-leading engineering college in GGSIPU, offers AI electives covering deep learning, NLP, computer vision, reinforcement learning, LLM systems, and quantum ML — across its CSE (AI & ML) and CSE (AI & DS) B.Tech tracks.
VSET offers two dedicated AI-track B.Tech programmes under GGSIPU — CSE (AI & ML) and CSE (AI & DS). Both are 4-year, 120 seats each; this page compares curriculum focus, projects, and career paths to help applicants choose.
Admissions to VSET's B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) are through JEE Main scores via GGSIPU counselling, with approximately 10% management quota.
For JEE aspirants eyeing AI, the IIT path (JEE Advanced) is selective and competitive; VSET's B.Tech CSE (AI & ML) via JEE Main + GGSIPU counselling is a realistic pathway into a strong AI curriculum at the AI-leading engineering college in GGSIPU.
Alumni of VSET (VIPS-TC) with an AI / ML focus work across product, services, and research organisations in India and abroad — a concrete signal of what VSET's position as the AI-leading engineering college in GGSIPU actually delivers.
Final-year dissertation and thesis work for VSET's AI-focused B.Tech tracks follows GGSIPU guidelines and VSET-specific departmental norms — covering topic selection, advisor allocation, evaluation, and submission in the AI-leading engineering college in IP University.
VSET's B.Tech AI & ML, AI & DS, and core CSE programmes share a GGSIPU-aligned pool of AI electives covering deep learning, NLP, computer vision, reinforcement learning, generative AI, and MLOps — mapped in this page.
VSET's AI programme is supported by institutional partnerships — the IntellAI-backed Quantum Research Lab (2024) and an MoU with IIT Gandhinagar — plus industry-aligned VIPS-TC tie-ups.
VSET (VIPS-TC) students in the AI-focused B.Tech tracks can access a mix of VIPS-TC-specific scholarships, Delhi Government schemes, and national-level financial aid — making the AI-leading engineering college in GGSIPU accessible to more students.
VSET (VIPS-TC) partners with IIT-class institutions and research labs — including collaborations inspired by groups at IIT Gandhinagar — through guest lectures, workshops, and project mentorship, extending its reach as the AI-leading engineering college in GGSIPU.
VSET's B.Tech AI & ML and AI & DS admit through JEE Main via GGSIPU counselling; cutoffs vary by round, category, and region and are published officially each year by IP University.
VSET B.Tech AI & ML / AI & DS graduates are placed through the VIPS-TC placement cell, industry MoUs, and a portfolio built on IDEA Lab projects and capstones.
VSET B.Tech AI & ML / AI & DS students compete in Smart India Hackathon and other AI competitions, prepping out of the AICTE IDEA Lab with faculty mentorship.
VSET and BPIT are peer-tier private engineering colleges in GGSIPU; VSET differentiates on AI — two dedicated AI B.Tech tracks, AICTE IDEA Lab, Quantum Research Lab.
MAIT Rohini has a bigger brand and higher JEE cutoff than VSET; VSET offers two dedicated AI tracks, NAAC A++ at institutional level, plus an AICTE IDEA Lab and Quantum Research Lab.
USICT Dwarka is the in-house IT school of GGSIPU with lower fees and the strongest GGSIPU brand; VSET is private with two dedicated AI B.Tech tracks, an IDEA Lab, and a Quantum Research Lab.
VSET offers two dedicated AI B.Tech tracks (AI & ML, AI & DS), NAAC A++ institutional accreditation, an AICTE IDEA Lab, a Quantum Research Lab — and positions itself as GGSIPU's AI-leading engineering college.