Contribution · Careers
Careers after B.Tech with B.Tech CSE (AI & ML) skills
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. For B.Tech graduates, B.Tech CSE (AI & ML) skills translate into roles like Machine Learning Engineer, LLM Engineer, AI Agent Developer, Computer Vision Engineer, Applied Research Engineer — and the portfolio that gets those interviews is built during the degree: coursework, lab projects, hackathons, internships, and a visible capstone. Here is how that maps out at Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura.
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)
Where B.Tech CSE (AI & ML) skills lead
Graduates applying B.Tech CSE (AI & ML) skills typically target roles such as Machine Learning Engineer, LLM Engineer, AI Agent Developer, Computer Vision Engineer, Applied Research Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
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.
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.
Frequently asked questions
What jobs can I get with B.Tech CSE (AI & ML) skills after B.Tech?
Common roles include Machine Learning Engineer, LLM Engineer, AI Agent Developer, Computer Vision Engineer, Applied Research Engineer. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
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.
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