Master end-to-end IoT development by learning Microcontrollers (Arduino, ESP32, Raspberry Pi), Sensors, MQTT, and Cloud Platforms (AWS IoT). Join the best hands-on IoT course with 100% placement support.
A structured journey from hardware fundamentals to deploying scalable IoT solutions on the cloud.
Every module is hands-on, focusing on practical circuit building and real-time data streaming.
IoT architecture, basic electronic components (Resistors, Capacitors, Diodes), and breadboarding.
Interfacing temperature, humidity, ultrasonic, PIR sensors, and controlling motors/relays.
Programming Arduino Uno/Mega using Arduino IDE, GPIO handling, ADC, and PWM.
Developing Wi-Fi-enabled edge devices, setting up local web servers, and OTA updates.
Deep dive into MQTT, HTTP/HTTPS, CoAP, and WebSockets for real-time telemetry.
Linux basics, Python programming for GPIO, and processing sensor data at the edge.
Working with Bluetooth Classic, BLE (Bluetooth Low Energy), Zigbee, and LoRaWAN basics.
Connecting devices to AWS IoT Core, handling Device Shadows, rules routing, and IoT security.
Building real-time dashboards using ThingsBoard, Node-RED, and Grafana.
End-to-end integration: Building a smart industrial monitoring system or smart home automation.
You'll emerge as a versatile IoT Engineer capable of developing both hardware nodes and cloud architectures.
Confidently design and assemble circuits using various microcontrollers and sensors.
Write efficient C/C++ and Python code for hardware manipulation and data processing.
Implement secure communication between devices using MQTT, HTTP, and BLE.
Integrate edge devices with enterprise cloud platforms like AWS IoT and ThingsBoard.
Deploy local processing and automation logic on Linux-based systems like Raspberry Pi.
Build a strong portfolio of working prototypes and get hired as an IoT Systems Engineer.