From Arduino blinking an LED to a fully autonomous industrial robot β master the hardware, firmware, and cloud layers of IoT. 16 weeks, hardware kits shipped to your door, 5 physical projects, and placement in India's Industry 4.0 companies.
The Internet of Things is the convergence of hardware, software, and connectivity β and it's transforming every industry from manufacturing to healthcare. This 16-week programme covers embedded systems with Arduino and Raspberry Pi, wireless communication protocols (MQTT, Zigbee, LoRaWAN), cloud IoT platforms (AWS IoT, Azure IoT Hub), robotics fundamentals, and industrial automation. Every student receives a hardware kit shipped to their home and builds 5 real IoT devices.
Microcontroller architecture, GPIO, ADC/DAC, UART/SPI/I2C protocols, interrupts, and real-time firmware development.
Raspberry Pi OS, Python for IoT, GPIO programming, camera integration, and edge computing applications.
MQTT, HTTP REST, WebSocket, Zigbee, LoRaWAN, BLE, and WiFi mesh β connecting devices reliably at scale.
AWS IoT Core, Azure IoT Hub, device management, telemetry, shadow devices, rules engine, and Grafana dashboards.
Robot Operating System (ROS2), servo control, stepper motors, path planning, SLAM, and robot simulation in Gazebo.
PLC basics, Modbus protocol, SCADA dashboards, Industry 4.0 frameworks, and predictive maintenance systems.
Entry-level: βΉ5β9 LPA
Mid-level: βΉ10β18 LPA
Senior IoT Architect: βΉ20β35 LPA
IoT Engineer, Embedded Systems Developer, Robotics Engineer, Automation Engineer, IIoT Consultant
Embedded Engineer β IoT Developer β Senior IoT Architect β Head of Automation
Bosch, Honeywell, Siemens India, Schneider Electric, L&T Technology Services, TCS, HCL, and 500+ partners.
ECE/EEE graduates who want to combine hardware skills with software to build connected devices.
Developers who want to cross the hardware-software boundary and work in the physical computing space.
Mechanical engineers who want to add robotics and automation skills for Industry 4.0 roles.
16 weeks Β· 120+ hours Β· Weekend live sessions + hardware lab assignments
Arduino + temperature/humidity/motion sensors + MQTT + Grafana cloud dashboard accessible from any browser.
Soil moisture sensing, water pump control, mobile alerts via Telegram bot, and AWS IoT data logging.
Raspberry Pi camera with TensorFlow Lite object detection β sends alerts when an unknown person is detected.
Autonomous robot with IR sensors, motor drivers, PID controller, and remote override via Bluetooth mobile app.
Vibration sensor + accelerometer connected to AWS IoT, ML anomaly detection, and SCADA-style dashboard for motor health.
Receive the Kamdhenu Skills Certified IoT Engineer credential. Preparation for AWS Certified IoT Core Developer and Google Cloud IoT Core Professional. Your 5 physical projects serve as tangible proof of your engineering capability β recruiters can hold them in their hands.
Yes. Every enrolled student receives an IoT starter kit shipped to their home address before Day 1. The kit includes: Arduino Uno R4, Raspberry Pi 4 (2GB), sensors (temperature, humidity, motion, soil moisture, accelerometer), motor driver, servo motors, and assorted components β everything you need for all 5 projects.
Basic electronics knowledge (Ohm's law, what a resistor does) is helpful. We cover everything from breadboard to PCB concepts in the first two weeks, so complete beginners with programming backgrounds can also succeed.
Traditional electronics programmes focus on circuit theory. This course is about connecting hardware to the internet and cloud β which is the Industry 4.0 and smart tech skill gap that companies are desperately hiring for right now. You build cloud-connected, AI-powered devices β not just circuit diagrams.
Both. Arduino development uses C/C++ (embedded C). Raspberry Pi applications use Python. Cloud integrations use Python. ROS2 uses Python and C++. The course teaches both in context β you'll be comfortable with either by the end.
"The hardware kit arriving at my door on Day 1 was a genuinely exciting moment. I built a cloud-connected predictive maintenance system for my capstone and got hired at Honeywell's IoT division."
IoT Engineer β’ Honeywell
"I was a mechanical engineer who felt left behind in the digital shift. The robotics and ROS modules were outstanding. Now I design automated manufacturing lines at L&T Technology Services."
Automation Engineer β’ L&T Technology