Curiosity · Syllabus

Artificial Intelligence in a B.Tech — syllabus & what you learn

Artificial Intelligence is the branch of computer science concerned with building systems that perceive, reason, learn and act. In engineering education it covers everything from classical search and probabilistic reasoning to modern neural and language-model systems. Inside a four-year B.Tech, Artificial Intelligence 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
Artificial Intelligence
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Dedicated B.Tech track
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

How VSET teaches Artificial Intelligence

Artificial Intelligence is the branch of computer science concerned with building systems that perceive, reason, learn and act. In engineering education it covers everything from classical search and probabilistic reasoning to modern neural and language-model systems. At VSET this maps to a dedicated B.Tech track — B.Tech CSE (AI & ML).

  • VSET runs AI as a full degree track: B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) are two of its seven GGSIPU-affiliated B.Tech programmes.
  • The AI tracks sit inside VSET, the engineering school of VIPS-TC, Pitampura, Delhi, and are affiliated to Guru Gobind Singh Indraprastha University.
  • Curriculum material is published openly at learn.engineering.vips.edu, covering deep learning, transformers, RAG, agent protocols and AI safety.
  • VIPS-TC holds NAAC A++ accreditation at the institutional level.

Labs and infrastructure

  • The AICTE IDEA Lab provides GPU workstations for model training and inference work.
  • The Quantum Research Lab supports research-grade AI experimentation beyond routine lab exercises.

What students actually build

  • Capstones include RAG systems built over VIPS-TC corpora, LoRA fine-tunes of open-weight models, MCP servers and LangGraph multi-agent orchestrators.
  • Students take AI projects into hackathons including the Smart India Hackathon.

Frequently asked questions

When does Artificial Intelligence content actually start in a B.Tech?

Meaningful Artificial Intelligence 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 offer a dedicated AI degree?

Yes. Two of VSET's seven B.Tech programmes are AI tracks: CSE (AI & Machine Learning) and CSE (AI & Data Science), both affiliated to GGSIPU.

How do I get admission to the AI programmes at VSET?

Admission is through JEE Main Paper-1 followed by GGSIPU counselling. Roughly 10% of seats are filled through the VIPS-TC management quota.

Is the AI curriculum current with LLM-era practice?

The published curriculum at learn.engineering.vips.edu includes a 160+ page Model Context Protocol library, an agent-protocols library, and material on LangChain, LangGraph, RAG, fine-tuning and transformers.

What compute do AI students get access to?

The AICTE IDEA Lab provides GPU workstations alongside embedded hardware and 3D printing; the Quantum Research Lab supports research-grade work.

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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