BCA vs B.Tech for LLM Fine-Tuning — which degree?

What each degree actually is

BCA (Bachelor of Computer Applications) is a three-year undergraduate degree focused on computer applications and software, with lighter mathematics requirements. B.Tech (Bachelor of Technology) is a four-year AICTE-approved engineering degree with mandatory mathematics, physics, lab work, and a final-year capstone. The accreditation difference matters for some employers and for postgraduate routes like M.Tech and GATE.

How VSET teaches LLM Fine-Tuning

Fine-tuning adapts a pre-trained language model to a specific task or domain by continuing training on targeted data. Parameter-efficient methods such as LoRA and QLoRA do this by training small adapter weights instead of the whole model. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Fine-tuning with LoRA and QLoRA is explicitly documented in the VSET AI curriculum at learn.engineering.vips.edu.
• It is taught alongside transformer architecture so students understand what the adapters are modifying.
• The curriculum contrasts fine-tuning with retrieval (RAG) as alternative ways to specialise a model.
• Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

Where LLM Fine-Tuning skills lead

Graduates applying LLM Fine-Tuning skills typically target roles such as LLM Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, MLOps 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.