Computer Science Engineering

IoT - Internet of Things Course

Master the technology connecting billions of devices worldwide. Learn to build smart homes, industrial automation systems, wearable devices, and IoT solutions using Arduino, Raspberry Pi, ESP32, and cloud platforms.

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Course Overview

The Internet of Things (IoT) is transforming industries worldwide, connecting over 30 billion devices by 2025. From smart homes (Alexa, Google Home) to industrial automation, healthcare wearables (fitness trackers), smart cities, and autonomous vehicles, IoT is the future of technology. Our comprehensive IoT course provides hands-on training with industry-standard hardware platforms like Arduino, Raspberry Pi, ESP32, NodeMCU, and sensors, along with cloud platforms (AWS IoT, Google Cloud IoT, Azure IoT) and mobile app development.

This course covers the complete IoT ecosystem - from basic electronics and microcontroller programming to sensor integration, wireless communication protocols (WiFi, Bluetooth, LoRa, MQTT), data analytics, cloud computing, and security. You'll learn embedded C/C++ programming, Python for Raspberry Pi, IoT protocols, and build real-world projects like smart home systems, environmental monitoring, industrial automation, and wearable health devices.

Taught by experienced IoT engineers and embedded systems professionals with expertise in industrial automation and smart device development, you'll master circuit design, sensor interfacing, wireless communication, cloud integration, and mobile app development. The hands-on approach ensures you work with actual hardware from day one, building projects that prepare you for careers in IoT development, embedded systems, automation engineering, and smart device manufacturing.

Why Choose Our IoT Training?

Industry-leading IoT training with real hardware and cloud platforms

Industry Expert Trainers

Learn from IoT engineers with 10+ years in embedded systems, automation, and smart device development.

Real Hardware Kits

Practice with Arduino, Raspberry Pi, ESP32, sensors, and actuators in hands-on lab sessions.

Cloud Platforms

Master AWS IoT, Google Cloud IoT, ThingSpeak, Blynk for cloud-connected IoT solutions.

Mobile App Development

Build Android/iOS apps to control IoT devices using MIT App Inventor, Blynk, and Flutter.

Industry Projects

Build smart home systems, industrial automation, health monitoring, and agriculture IoT projects.

Career Support

Placement assistance for IoT developer, embedded systems engineer, and automation engineer roles.

Detailed Course Curriculum

Comprehensive topic-wise breakdown of the entire IoT training program

1 IoT Fundamentals & Electronics Basics

  • Introduction to IoT & Applications
  • IoT Architecture & Layers
  • Basic Electronics (Voltage, Current, Resistance)
  • Electronic Components (Resistors, Capacitors, LEDs, Diodes)
  • Breadboard & Circuit Building
  • Digital vs Analog Signals
  • Ohm's Law & Kirchhoff's Laws
  • Multimeter Usage & Safety Precautions

2 Arduino Programming & Projects

  • Arduino Board Overview (Uno, Nano, Mega)
  • Arduino IDE Setup & Programming
  • Digital I/O (pinMode, digitalWrite, digitalRead)
  • Analog I/O (analogRead, analogWrite, PWM)
  • Control Structures (if, for, while)
  • LED Control, Buzzer, Button Interface
  • LCD Display (16x2, I2C)
  • Serial Communication & Debugging

3 Sensors & Actuators Integration

  • Temperature Sensors (DHT11, DHT22, DS18B20, LM35)
  • Humidity Sensors & Environmental Monitoring
  • Motion Sensors (PIR, Ultrasonic HC-SR04)
  • Gas Sensors (MQ2, MQ3, MQ135)
  • Light Sensors (LDR, BH1750)
  • Soil Moisture & Water Level Sensors
  • Servo Motors, DC Motors, Stepper Motors
  • Relay Modules & AC Appliance Control

4 Wireless Communication & IoT Protocols

  • WiFi Modules (ESP8266, ESP32, NodeMCU)
  • ESP32 Programming & Web Server
  • Bluetooth (HC-05, HC-06, BLE)
  • RF Modules (NRF24L01, LoRa)
  • MQTT Protocol & Broker Setup
  • HTTP, CoAP, WebSocket Protocols
  • Zigbee, Z-Wave for Home Automation
  • GSM/GPRS Modules (SIM800, SIM900)

5 Raspberry Pi & Advanced Computing

  • Raspberry Pi Setup & Raspbian OS
  • Python Programming for Raspberry Pi
  • GPIO Programming with RPi.GPIO
  • Camera Module & Image Processing
  • OpenCV for Computer Vision
  • Web Server Setup (Flask/Django)
  • Database Integration (SQLite, MySQL)
  • AI/ML on Raspberry Pi (TensorFlow Lite)

6 Cloud Platforms & Data Analytics

  • ThingSpeak IoT Platform
  • Blynk IoT Platform & Mobile App
  • AWS IoT Core & AWS Lambda
  • Google Cloud IoT & Firebase
  • Microsoft Azure IoT Hub
  • Data Visualization (Grafana, Tableau)
  • Real-time Data Analytics
  • REST API Development for IoT

7 Mobile App Development & Security

  • MIT App Inventor for IoT Apps
  • Flutter for Cross-Platform Apps
  • Bluetooth Control via Mobile App
  • WiFi-based Remote Monitoring
  • IoT Security Fundamentals
  • Encryption & Authentication
  • Secure Communication (SSL/TLS)
  • Privacy & Data Protection

8 Live IoT Projects & Applications

  • Smart Home Automation System
  • Weather Monitoring Station
  • Industrial Automation & Monitoring
  • Smart Agriculture & Irrigation
  • Health Monitoring Wearable Device
  • Smart Parking System
  • Air Quality Monitoring System
  • Final Capstone IoT Project

Who Should Enroll?

This course is perfect for anyone passionate about building smart, connected devices

Engineering Students

CSE, ECE, EEE students wanting to build IoT projects for final year or skill development

Electronics Enthusiasts

Hobbyists and makers interested in building smart devices, robots, and automation systems

Industry Professionals

Engineers wanting to upgrade skills in industrial automation, smart manufacturing, or Industry 4.0

Startup Founders

Entrepreneurs building IoT products, smart home solutions, or wearable technology startups

Ready to Build Smart IoT Solutions?

Join our comprehensive IoT training and become an expert in connected devices