Curiosity · Syllabus

B.Tech CSE (AI & ML) in a B.Tech — syllabus & what you learn

B.Tech CSE (AI & ML) is a four-year degree that builds machine learning, deep learning and LLM engineering on top of the computer science core. It is one of the seven GGSIPU-affiliated B.Tech programmes VSET runs at its Pitampura, Delhi campus, and the specialisation that leans hardest towards model training and agent systems. Inside a four-year B.Tech, B.Tech CSE (AI & ML) 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
B.Tech CSE (AI & ML)
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 B.Tech CSE (AI & ML)

B.Tech CSE (AI & ML) is a four-year degree that builds machine learning, deep learning and LLM engineering on top of the computer science core. It is one of the seven GGSIPU-affiliated B.Tech programmes VSET runs at its Pitampura, Delhi campus, and the specialisation that leans hardest towards model training and agent systems. At VSET this maps to a dedicated B.Tech track — B.Tech CSE (AI & ML).

  • VSET offers B.Tech CSE (AI & ML) as a dedicated GGSIPU-affiliated specialisation, not an elective bolted onto general CSE.
  • The documented AI curriculum covers transformers, deep learning, reinforcement learning, computer vision, NLP and LoRA/QLoRA fine-tuning.
  • Agent and LLM engineering are taught explicitly, through a 160+ page Model Context Protocol library, a roughly 100 page agent-protocols library, and frameworks including LangChain, LangGraph, LlamaIndex, CrewAI and AutoGen.
  • Retrieval-augmented generation, vector databases and prompt engineering sit inside the same specialisation.
  • The full CSE core in programming, data structures, databases, operating systems and networks is taught before and alongside the AI subjects.

Labs and infrastructure

  • AICTE IDEA Lab GPU workstations are the campus resource for training and fine-tuning models.
  • A Quantum Research Lab is available on campus for advanced computing work.

What students actually build

  • Documented capstones include retrieval-augmented generation systems built over VIPS-TC corpora and multi-agent orchestrators.
  • Students enter Smart India Hackathon, where AI problem statements map directly onto this coursework.

Frequently asked questions

When does B.Tech CSE (AI & ML) content actually start in a B.Tech?

Meaningful B.Tech CSE (AI & ML) 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 AI & ML a full branch at VSET or just an elective?

It is a dedicated GGSIPU-affiliated B.Tech specialisation, one of the seven programmes VSET runs, with AI coursework running through the degree rather than a single elective.

Does the AI & ML track cover LLMs and agents, or only classical machine learning?

Both. Alongside transformers, deep learning and reinforcement learning, the documented curriculum includes a 160+ page Model Context Protocol library, a roughly 100 page agent-protocols library, and LangChain, LangGraph, LlamaIndex, CrewAI and AutoGen.

Where do students train and fine-tune models on campus?

On the AICTE IDEA Lab GPU workstations, which support the LoRA and QLoRA fine-tuning work in the syllabus.

How is admission decided, and what does it cost?

Admission runs through 10+2 with Physics, Chemistry and Mathematics at a minimum 50% aggregate, JEE Main Paper-1 and GGSIPU counselling, with roughly 10% of seats through the VIPS-TC management quota. Fees and closing ranks are set by GGSIPU each year, so use the official current-year GGSIPU brochure rather than any circulated figure.

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