Curiosity · After 12th
How to learn Transfer Learning after 12th in Delhi
In machine learning, transfer learning means reusing a trained model on a new task. It is not credit transfer or migration between colleges, which at GGSIPU is a separate university admissions process. Transfer learning reuses a model trained on one large task as the starting point for a different, usually smaller task. It is why a student with one GPU can build a competitive vision or language system without training from scratch. 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 Transfer Learning coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Transfer Learning
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Transfer Learning depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Transfer Learning
Transfer learning reuses a model trained on one large task as the starting point for a different, usually smaller task. It is why a student with one GPU can build a competitive vision or language system without training from scratch. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Transfer learning is the practical premise of VSET's fine-tuning material on LoRA and QLoRA, published at learn.engineering.vips.edu.
- The deep learning and computer vision content in the same curriculum covers reuse of pre-trained backbones.
- The curriculum contrasts transfer/fine-tuning with retrieval (RAG) as two different ways to specialise a model.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where Transfer Learning skills lead
Graduates applying Transfer Learning skills typically target roles such as Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, LLM Engineer, AI 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 Transfer Learning after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Transfer Learning-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is transfer learning taught at VSET?
Yes. It underpins the fine-tuning material published at learn.engineering.vips.edu, including LoRA and QLoRA on open-weight models.
Do students need huge compute for this?
No — that is the point of transfer learning. Parameter-efficient adaptation on the AICTE IDEA Lab's GPU workstations is the documented capstone pattern.
When is transfer learning the wrong choice?
When the need is current or private knowledge rather than changed behaviour; the curriculum teaches RAG alongside fine-tuning so students can reason about that trade-off.
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