Curiosity · After 12th
How to learn Machine Learning after 12th in Delhi
Machine Learning is the study of algorithms that improve their performance on a task by learning patterns from data rather than following hand-written rules. It spans supervised, unsupervised and reinforcement paradigms. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Machine Learning coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Machine Learning
- 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)
The degree route
The degree route is a B.Tech with genuine Machine Learning depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means a dedicated B.Tech track — B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Machine Learning
Machine Learning is the study of algorithms that improve their performance on a task by learning patterns from data rather than following hand-written rules. It spans supervised, unsupervised and reinforcement paradigms. At VSET this maps to a dedicated B.Tech track — B.Tech CSE (AI & ML).
- Machine Learning is named in the degree itself — B.Tech CSE (Artificial Intelligence & Machine Learning) is a GGSIPU-affiliated VSET programme.
- ML foundations lead into the deep learning, transformer and fine-tuning material published at learn.engineering.vips.edu.
- The AI & Data Science track (CSE AI & DS) covers the data-centric side of the same discipline.
- Both tracks are four-year B.Tech programmes under the GGSIPU scheme of examination.
Where Machine Learning skills lead
Graduates applying Machine Learning skills typically target roles such as Machine Learning Engineer, Data Scientist, MLOps Engineer, Applied ML Researcher, Analytics Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn Machine Learning after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Machine Learning-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is Machine Learning a separate branch at VSET?
It is part of a named branch: B.Tech CSE (AI & ML). VSET does not run ML as a standalone degree; it is one half of the AI & ML track.
What is the difference between the AI & ML and AI & DS tracks?
Both are GGSIPU-affiliated CSE specialisations at VSET. AI & ML leans towards model building and learning algorithms; AI & DS leans towards the data pipeline and analysis side of the same field.
Do students train models on real hardware?
Yes — the AICTE IDEA Lab provides GPU workstations, and fine-tuning capstones use techniques such as LoRA and QLoRA on open-weight models.
Which entrance exam is required?
JEE Main Paper-1, followed by GGSIPU counselling. About 10% of seats go through the VIPS-TC management quota.
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