Project-led certification course

AI, Electronics & Robotics: From Circuits to Intelligent Systems

Build real engineering intuition from circuits and semiconductors to Arduino, sensors, IoT, PCB design, robotics, and Edge AI.

Hands-on learning5 structured stagesHardware kit included
Register for the course Talk to a course advisorCurriculum PDF

Build. Program. Integrate.

From first circuit to intelligent robotic systems.

Duration
6 months
Learning format
48-50 classes
Complete program
₹50,000

Program overview

Engineering skills that connect end to end

A hands-on, full-stack hardware and embedded systems course designed to move from component-level electronics to intelligent connected robots.

The course includes 48-50 practical classes. Classes can run twice per week or as one 2-hour session per week. The hardware kit includes components, Arduino boards, motors, sensors, ESP32 modules, 21700 cells, and BMS hardware.

Foundation first
Build with real hardware
Finish with connected AI

Complete curriculum

A clear path from fundamentals to Edge AI

Each stage builds on the previous one, combining concepts with practical engineering work.

Stage 01

Core Electronics & Semiconductors

Ohm's law, AC/DC circuits, diodes, Zener diodes, LDRs, transistors, optocouplers, MOSFETs, voltage regulators, inductors, transformers, solenoids, and relays.

Stage 02

AI, Python & Microcontroller Logic

Arduino IDE, C/C++ foundations, variables, memory, serial debugging, digital and analog I/O, PWM, data scaling, and conditional control.

Stage 03

Microcontrollers, Power & Robot Building

Arduino Uno and Nano, motors and H-bridge drivers, lithium-ion battery packs with BMS, chassis layouts, soldering, and hardware assembly.

Stage 04

Sensors & Practical Systems

LDR, laser, touch, flame, sound, IR, ultrasonic, temperature, humidity, vibration, tilt, Hall-effect, and RGB sensing through six practical builds.

Stage 05

Wireless Integration & Edge AI

ESP32, Wi-Fi, BLE, long-range RF, displays, remote interfaces, PCB design, computer vision, smart access, robotics, gaming, and IoT dashboard projects.

What you will be able to do

Graduate with practical, demonstrable capability

  • Understand and build circuits from discrete components instead of relying only on plug-in modules.
  • Program Arduino-class microcontrollers using C/C++ logic, sensor feedback, and motor control.
  • Engineer battery packs, power regulation, soldered assemblies, and mobile robot hardware.
  • Integrate practical sensors, displays, wireless protocols, and ESP32-based IoT systems.
  • Complete portfolio-ready projects spanning robotics, PCB design, computer vision, and Edge AI.