Training Programs

Internship, Inplant & Project Training

Learn By Building

Three programs. One hands-on approach.

Whether you have a few days or a full semester, our training programs are built around working hardware and real code — guided by the same engineers who deliver our client projects.

Internship

Work on live R&D problems, not simulations

Our internship program places students directly inside ongoing embedded, IoT, robotics, web and software work — so you learn the tools, the debugging process, and the pace of real product development.

  • Duration: 2 to 8 weeks, flexible to your college schedule
  • Choose a track: Embedded/IoT, Robotics, Machine Learning, Web, or Software
  • One-on-one mentoring from practising engineers
  • Internship certificate & completion report
Apply for Internship
Inplant Training

A close look inside a working tech company

Short-format inplant training is designed for college groups and individual students who want an intensive, guided walkthrough of how a real R&D and IT company operates — from design to delivery.

  • Duration: 1 to 5 days
  • Ideal for college-organised batches/groups
  • Live demos: embedded systems, IoT setups, machine learning & our robotics platform
  • Inplant training certificate for all participants
Schedule Inplant Training
Project Training

Build your final-year or mini-project with expert guidance

From concept to working demo, we guide students through academic project training in embedded systems, IoT, robotics, machine learning and software — including documentation and viva preparation.

  • Mini-projects & final-year projects
  • Topic selection support based on current trends
  • Hardware/kit support for embedded & IoT projects
  • Report writing & viva/demo preparation
Start Your Project
Domains Covered

Pick a track that fits where you want to go

Embedded Systems

Microcontrollers, firmware & interfacing

IoT

Sensors, connectivity & cloud dashboards

Robotics & Automation

Motors, control logic & humanoid systems

Machine Learning

Predictive models, vision & edge ML

Web & Software

Front-end, back-end & application logic

Getting Started

How to join a program

1

Enquire

Reach out via the contact form or phone with your college, domain interest and preferred dates.

2

Choose a Track

We help you pick between Embedded/IoT, Robotics, Machine Learning, Web or Software based on your interest and level.

3

Train Hands-On

Work through guided sessions and real tasks with mentor support throughout.

4

Certify & Showcase

Walk away with a certificate, a working demo, and something real for your resume.

Seats fill up fast each semester

Reach out early to lock in your preferred track and dates for internship, inplant or project training.