Contribution · Careers
Careers after B.Tech with AI in Energy skills
This is AI and IoT engineering applied to energy infrastructure. It is not an electrical or power engineering degree — VSET's electronics programme is B.Tech Electronics (VLSI Design and Technology). AI in energy covers load and generation forecasting, grid anomaly detection, asset condition monitoring and consumption optimisation. Its distinguishing feature is dense time-series telemetry from instrumented physical infrastructure. For B.Tech graduates, AI in Energy skills translate into roles like IoT Engineer, Data Scientist, Machine Learning Engineer, Embedded Systems Engineer, Analytics 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
- AI in Energy
- VSET programme
- B.Tech Industrial Internet of Things
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
Where AI in Energy skills lead
Graduates applying AI in Energy skills typically target roles such as IoT Engineer, Data Scientist, Machine Learning Engineer, Embedded Systems Engineer, Analytics 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
- Monitoring and prediction over sensor streams is a natural fit for the IIoT capstone work students undertake.
- Energy and utilities briefs recur in Smart India Hackathon problem statements.
How VSET teaches AI in Energy
AI in energy covers load and generation forecasting, grid anomaly detection, asset condition monitoring and consumption optimisation. Its distinguishing feature is dense time-series telemetry from instrumented physical infrastructure. At VSET this maps to elective-level coverage inside B.Tech Industrial Internet of Things.
- The sensing and telemetry layer that energy AI runs on is a full degree track at VSET: the B.Tech in Industrial Internet of Things.
- The modelling side — deep learning, time-series and anomaly-style methods — comes from the AI curriculum published at learn.engineering.vips.edu.
- Energy systems and power engineering are not taught as a domain; the application enters through project work rather than named coursework.
- IIoT is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Frequently asked questions
What jobs can I get with AI in Energy skills after B.Tech?
Common roles include IoT Engineer, Data Scientist, Machine Learning Engineer, Embedded Systems Engineer, Analytics Engineer. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
Does VSET teach power systems?
No. VSET's electronics track is VLSI Design and Technology, and its IoT track is industrial sensing and connectivity — neither is a power-engineering degree.
What makes the IIoT programme relevant to energy AI?
Energy AI runs on telemetry from instrumented infrastructure, and the IIoT track is specifically about industrial sensing, devices and connectivity.
Where does the model training happen?
On the AICTE IDEA Lab's GPU workstations, with the Quantum Research Lab available for research-grade runs.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech Industrial Internet of Things — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31