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Domain 04 . Infrastructure

Internet of Things (IoT)

350
Hours of teaching
Beginner to Advanced
Level
15
Modules
Classroom . Online . Hybrid
Mode
Course overview

A hardware-first IoT programme running from basic electronics to cloud-connected industrial deployments. Learners work on real boards throughout: Arduino, Raspberry Pi and ESP22, with sensors, relays and motors. The programme covers embedded programming, communication protocols, cloud platforms, smart home and industrial automation, device security, edge AI with TinyML, mobile app integration and IoT data analytics.

Each module ends in a working build, and the final 45 hours are given to industry projects such as smart agriculture monitoring, machine health monitoring and energy metering.

Who it is for
  • ECE, EEE and mechatronics students and graduates
  • Embedded developers moving to connected products
  • Automation and maintenance engineers
  • Product teams prototyping hardware
Prerequisites
Basic electronics and programming fundamentals. C or Python exposure is helpful; both are revised in the programme.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.

Programme sheet

The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.

Download the programme sheet →Enquire or apply →

Learning outcomes

01
Read a circuit, wire sensors and actuators, and measure with a multimeter.
02
Program Arduino, ESP32 and Raspberry Pi boards for sensing and control.
03
Select and implement the right protocol MQTT, BLE, LoRaWAN, Modbus.
04
Connect devices to AWS IoT Core, Azure IoT Hub, ThingsBoard or Blynk.
05
Build cloud dashboards with alerts and remote device control.
06
Deliver smart home and industrial monitoring systems end to end.
07
Secure devices with authentication, TLS and safe firmware practice.
08
Deploy TinyML models on device for vision and voice recognition.
09
Analyse sensor time-series data and build predictive monitoring.

Module structure

15 modules
Module 01

Introduction to Internet of Things (IoT)

Introduction to IoT . IoT Architecture . IoT Communication Models . Industry 4.0 . Smart Agriculture . IoT Challenges . PRACTICAL . History and Evolution of IoT . IoT Ecosystem . IoT Applications . Smart Cities . Smart Healthcare . IoT Security Fundamentals
Module 02

Electronics Fundamentals

Basic Electronics . Ohm's Law . Digital vs Analog Signals . Relays . LEDs . Batteries and Power Supplies . PRACTICAL . Voltage, Current, Resistance . Breadboard and Circuit Design . Sensors and Actuators . Motors . Switches . Multimeter Usage
Module 03

Programming for IoT

Loops . Arrays . LIBRARIES . Variables . Functions
Lab
Arduino Programming . Serial Monitor Projects
Module 04

Arduino Programming

Arduino Architecture . Arduino UNO . Nano . Mega . Digital I/O . Analog Inputs . PWM . UART . SPI . 12C Communication . Sensor Integration . LCD Displays . Servo Motors . Stepper Motors . Relay Modules
Sensors Covered — Temperature Sensor, Humidity Sensor, LDR, Ir Sensor, Ultrasonic Sensor, PIR Motion Sensor, Gas Sensor, Soil Moisture Sensor, Rain Sensor
Lab
Smart Lighting . Smart Irrigation . Automatic Water Level Controller . Home Security Alarm
Module 05

Raspberry Pi

Raspberry Pi Hardware . Raspberry Pi OS . Linux Basics . GPIO Programming . Python Programming . USB Devices . Wi-Fi & Bluetooth . SSH . Remote Access
Lab
Home Automation Server . CCTV Monitoring . Temperature Monitoring System
Module 06

ESP32 Programming

ESP32 Architecture . Wi-Fi Communication . GPIO . ADC . DAC . PWM . Deep Sleep . OTA Firmware Updates . MQTT Client Programming
Lab
Wi-Fi Sensor Node . Smart Energy Meter . Bluetooth Automation
Module 07

IoT Communication Protocols

MQTT . HTTP/HTTPS . WebSocket . Modbus . Zigbee . LoRaWAN . Wi-Fi . NFC . RFID
Lab
MQTT Broker Setup . IoT Messaging . Device Communication
Module 08

IoT Cloud Platforms

IoT Cloud Architecture . Device Registration . Data Streaming . Dashboards . Device Monitoring . Alerts . Notifications
Platforms — AWS IoT Core, Microsoft Azure IoT Hub, Google Cloud IoT, ThingsBoard, Blynk, ThingSpeak
Lab
Connect ESP32 to Cloud . Real-Time Sensor Dashboard . Remote Device Control
Module 09

Smart Home Automation

Smart Home Architecture . Home Automation Protocols . Voice Assistants . Smart Lighting . Smart Door Lock . Smart Appliances . Smart Energy Management . Smart Security Systems . PRACTICAL
Module 10

Industrial Internet of Things (IIoT)

Industry 4.0 . Industrial Sensors . PLC Basics . SCADA Introduction . Industrial Communication Protocols . Predictive Maintenance . Machine Monitoring . Industrial Automation . Edge Computing . PRACTICAL
Module 11

IoT Security

IoT Threat Landscape . Secure Boot . Device Authentication . Encryption . SSL/TLS . Secure MQTT . Firmware Security . Access Control . IoT Risk Assessment . Secure Device Management . os
Lab
Secure Device Communication . MQTT Authentication . SSL Configuration
Module 12

Edge AI & TinyML

Introduction to TinyML . Edge Computing . TensorFlow Lite . TinyML Workflow . On-Device AI . Image Recognition . Voice Recognition . Predictive Analytics at the Edge
Lab
TinyML Model Deployment . AI-Based Object Detection . Voice Command Recognition
Module 13

Mobile App Integration

IoT Mobile Applications . Blynk . MIT App Inventor . Flutter Basics . REST APIs . Push Notifications
Lab
Develop Mobile Dashboard . Mobile Device Control
Module 14

IoT Data Analytics

Sensor Data Collection . Data Visualization . Time-Series Analysis . Dashboard Design . AI-Based Insights . Alert Systems
Lab
lOT Analytics Dashboard . Predictive Monitoring
Module 15

Capstone Projects

Industry Projects — Smart Home Automation System, Smart Agriculture Monitoring, Smart Irrigation Controller, IoT-Based Weather Station, Smart Parking System, Smart Street Lighting, Smart Energy Meter, Industrial Machine Monitoring, Smart Water Quality Monitoring, Smart Healthcare Monitoring, Asset Tracking System, Smart Attendance System (rfid/Face Recognition), Cold Chain Temperature Monitoring, AI-Based Smart Security System

Assessment & certification

Module assignments and labs
25%
Internal assessments
15%
Mini projects
20%
Capstone project and review
40%

Learners who complete all modules, submit the capstone project and clear the final review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio and GitHub profile, and interview preparation is included in the final week.

Career outcomes . Roles this programme prepares for
IoT EngineerEmbedded Systems EngineerIoT Solution ArchitectIndustrial Automation EngineerFirmware DeveloperEdge AI EngineerIoT Support EngineerHardware Prototyping Engineer
Tools & technologies covered
Arduino UnoArduino NanoArduino MegaRaspberry PiESP32ESP8266C++PythonMicroPythonMQTTHTTP/HTTPSBLEZigbeeLoRaWANModbusSwiftRFIDNFCAWS IoT CoreMicrosoft Azure IoT HubGoogle Cloud IoTBlynkThingSpeakThingsBoardArduino IDEPlatformIOVisual Studio CodeRaspberry Pi OSMQTT ExplorerTensorFlow LiteTinyMLGrafanaInfluxDBOpenCV (optional for vision projects)
Enquire or apply →Programme sheet (PDF)Institutions can commission a cohort

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