Contribution · Careers
Careers after B.Tech with TensorFlow skills
TensorFlow is a deep learning framework for building, training and deploying neural networks, with Keras as its high-level modelling interface and strong support for production serving. It is working tooling inside the machine learning coursework of the CSE AI and ML specialisation at VSET. For B.Tech graduates, TensorFlow skills translate into roles like Machine Learning Engineer, Deep Learning Engineer, Data Scientist, MLOps Engineer, Computer Vision Engineer — and the portfolio that gets those interviews is built during the degree: coursework, lab projects, hackathons, internships, and a visible capstone. Here is how that maps out at Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura.
At a glance
- Topic
- TensorFlow
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
Where TensorFlow skills lead
Graduates applying TensorFlow skills typically target roles such as Machine Learning Engineer, Deep Learning Engineer, Data Scientist, MLOps Engineer, Computer Vision Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
What students actually build
- Vision and prediction capstone projects at VSET are frequently built with TensorFlow or Keras.
- Hackathon teams use it where a pretrained model can be adapted quickly to a problem statement.
How VSET teaches TensorFlow
TensorFlow is a deep learning framework for building, training and deploying neural networks, with Keras as its high-level modelling interface and strong support for production serving. It is working tooling inside the machine 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.
- Machine learning and deep learning coursework there uses Python frameworks including TensorFlow and Keras.
- Linear algebra, calculus and probability coursework supply the mathematics behind the framework operations.
- Deployment of trained models connects to the cloud computing coursework in the CSE track.
Frequently asked questions
What jobs can I get with TensorFlow skills after B.Tech?
Common roles include Machine Learning Engineer, Deep Learning Engineer, Data Scientist, MLOps Engineer, Computer Vision Engineer. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
Is TensorFlow part of VSET coursework?
Yes. Machine learning and deep learning coursework in the B.Tech CSE (AI and ML) specialisation uses frameworks including TensorFlow and Keras.
Do I need a GPU of my own?
No. The AICTE IDEA Lab provides GPU workstations on campus for training work.
Which VSET branch is closest to AI engineering?
B.Tech CSE (AI and ML), with B.Tech CSE (AI and Data Science) covering the data and analytics side.
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