Curiosity · Syllabus
PyTorch in a B.Tech — syllabus & what you learn
PyTorch is a Python deep learning framework built around tensors and automatic differentiation, used to define, train and deploy neural networks. It is working tooling inside the machine learning and deep learning coursework of the CSE AI and ML specialisation at VSET. Inside a four-year B.Tech, PyTorch 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
- PyTorch
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
How VSET teaches PyTorch
PyTorch is a Python deep learning framework built around tensors and automatic differentiation, used to define, train and deploy neural networks. It is working tooling inside the machine learning and deep learning coursework of the CSE AI and ML specialisation at VSET. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- VSET offers B.Tech CSE with an AI and Machine Learning specialisation among its seven GGSIPU programmes.
- Deep learning coursework in that specialisation uses Python frameworks such as PyTorch for model building.
- Linear algebra, calculus and probability coursework supply the mathematics the framework automates.
- Python programming coursework across the CSE family is the prerequisite for framework work.
Labs and infrastructure
- The AICTE IDEA Lab provides GPU workstations for training neural networks on campus.
- Campus computing labs support smaller model development and experimentation.
What students actually build
- Deep learning capstone projects at VSET are commonly built with PyTorch.
- Smart India Hackathon teams use it to build model-backed prototypes inside the event window.
Frequently asked questions
When does PyTorch content actually start in a B.Tech?
Meaningful PyTorch 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 PyTorch used at VSET?
Yes. Deep learning coursework in the B.Tech CSE (AI and ML) specialisation uses Python frameworks including PyTorch.
Where can I train models on campus?
The AICTE IDEA Lab provides GPU workstations for neural network training.
PyTorch or TensorFlow?
Both appear in AI coursework and projects; the mathematics and modelling ideas transfer between them.
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