Curiosity · After 12th
How to learn Backpropagation after 12th in Delhi
Backpropagation applies the chain rule backwards through a network to compute each parameter's contribution to the loss in a single pass. It is what makes training deep networks computationally feasible at all. 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 Backpropagation coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Backpropagation
- 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 Backpropagation 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 Backpropagation
Backpropagation applies the chain rule backwards through a network to compute each parameter's contribution to the loss in a single pass. It is what makes training deep networks computationally feasible at all. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Backpropagation is core to the deep learning material published at learn.engineering.vips.edu.
- It is taught with the optimisation content, since backprop supplies the gradients that gradient descent consumes.
- Understanding it is what makes the transformer and fine-tuning topics later in the curriculum tractable rather than magical.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where Backpropagation skills lead
Graduates applying Backpropagation skills typically target roles such as Deep Learning Engineer, Machine Learning Engineer, AI Research Associate, Applied Scientist, 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 Backpropagation after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Backpropagation-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Do students implement backpropagation or only call a framework?
The deep learning material published at learn.engineering.vips.edu covers the mechanism itself; framework use follows from understanding it, not instead of it.
Why does backprop matter for LLM work?
Fine-tuning with LoRA and QLoRA — a documented VSET capstone pattern — is backpropagation restricted to a small set of adapter weights.
Where does the hardware come in?
Backward passes are the expensive half of training; the AICTE IDEA Lab's GPU workstations are what make them practical for student projects.
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