Internet of Things Course

Course Contents

Prerequisites

• → Need a Laptop/Desktop with an internet access
• → Any web browser (Preferably Google chrome web browser)
• → Valid Email ID (Preferably Gmail ID)
• → Notebook and Pen (mandatory)
• → Basic C/Python programming language is good to have (Not mandatory)
• → Hardware is not mandatory

Introduction to Internet of Things

• → Getting started with the internet of things
• → IoT generic architecture and solution components
• → IoT business scenarios and opportunities
• → Basic function and architecture of a sensor
• → Introduction to Arduino Platform and Raspberry Pi platform

IoT Device Design & Management

• → Sensors – Types, Classification & selection criteria
• → Introduction to IoT Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266, Nodemcu, Micro-python
• → Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules
• → Design Considerations – Cost, Performance, Scalability & Power Consumption and tradeoffs

Introduction to a Communication Protocol for IoT

• → Understanding MQ Difference between HTTP & MQTT
• → Understanding MQTT Broker
• → Understating Publish & Subscribe Methods
• → MQTT Security and QoS
• → Installation of Paho library in Python
• → Hands-on session on MQTTFX
• → Wired Communication Protocols – UART, USART, SPI, I2C, Modbus
• → Wireless Communication Protocols – Bluetooth, Beacons, WiFi
• → Networking Protocols – TCP/IP, UDP/IP
• → Application Protocols – HTTP, Web sockets, MQTT
• → Device management, discovery, addressing
• → Introduction to CoAP protocol
• → Hands-on session on Copper (CoAP agent) and CoAP server and client in Python

Cloud Computing

• → Concept & Architecture of Cloud
• → Role of Cloud Computing in IoT
• → Tools, API, and Platform for integration of IoT devices with Cloud
• → IoT cloud platform and integration with Gateway
• → Web services and APIs

Overview of IoT Analytics and Security

• → Brief Overview of IoT Analytics and Security
• → Introduction to data analytics
• → Introduction to python for Data analytics

Hands-on Sessions

Using Arduino Platform

• → Getting Started with LED blink
• → Interfacing sensor (Analog & Digital) with MCUs
• → Interfacing switches and LEDs with MCUs
• → Interfacing sensors and other peripherals using SPI and I2C communication protocols
• → Fundamentals and programming
• → Configuring and uploading data on the cloud using WiFi ESP8266 module
• → WIFI different modes of applications (AP mode and STA mode)
• → Programming ESP8266 module Arduino IDE to access/upload data on cloud
• → Web server Programming
• → Setting up an HTTP server and testing HTTP methods on the localhost and with cloud
• → Setting up MQTT and CoAP server and testing publish & subscribe methods

Using Raspberry Pi Platform

1. OS Configuration

• → Setting up Raspberry Pi
• → Flashing and loading the SD card with the OS
• → Booting the OS
• → Intro of items on the desktop (Noobs Linux)
• → Intro and hands-on coding of Python

2. Raspberry Pi Network Setup

• → Setting Up Using GUI
• → Setting Up Using Command Line
• → Finding Pi’s IP Address
• → Connecting with Wi-Fi/LAN

3. Using Python

• → Using Python2 and 3
• → Interpreted Languages
• → Variables, Keywords, Operators, and Operands
• → Data Types in Python
• → Flow Control
• → Condition Statement
• → Loops
• → Importing Libraries
• → Functions
• → Classes
• → Concept of Server and Client

4. GPIO

• → Understanding Pi3 GPIO pin structure
• → Configuring GPIO pins
• → Importing and Enabling GPIO pins

5. Interfacing Sensors and Other Electronic Components

• → LED interfacing using the GPIO
• → Button input and LIGHT sensor interfacing
• → Buzzer, Motion Sensor and various sensor interfacing
• → Interfacing relays with Raspberry Pi

6. Introduction to MQTT and JSON

• → Introduction to the Message broker, Client, Topic, Publish & Subscribe
• → MQTT Security and QoS
• → Using MQTT.FX to Understand MQTT
• → Installation of PAHO library in Python
• → Introduction to JSON
• → JSON Format Structure

7. Integrating Sensors and Actuators to Cloud

• → Introduction to cloud
• → Raspberry Pi as IoT gateway
• → Device provisioning in IoT cloud
• → Understanding python code to interface sensor to cloud
• → Weather station using DHT Temperature and humidity sensor with cloud
• → Interfacing Light sensor with cloud
• → Controlling Raspberry GPIO pin with cloud
• → Home automation using cloud

8. Raspberry Pi3 as a BLE Gateway

• → Configuring BLE
• → Importing bluesy libraries
• → Running python code for BLE scan
• → Interfacing BLE reader to cloud

9. Raspberry Pi3 as Remote Client

• → Concept of Attributes in IoT
• → Working with IoT Device attributes
• → Using Shared attributes to Control and Configure RPi3
• → Writing agent Program to Subscribe Cloud
• → Creating Scripts using crontab

Sensors and Development Boards Used During the Hands-on Session

• → Raspberry Pi 3
• → Arduino board
• → Temperature and Humidity sensor
• → Soil Moisture Sensor
• → Raindrop sensor
• → LPG detectors
• → Smoke Detectors
• → Ultrasonic sensor
• → Light Sensor
• → Pressure Sensor
• → Water flow sensor
• → Touch Sensor
• → Current Sensor
• → Ultrasonic sensor
• → Accelerometer
• → Water level sensor
• → Buzzer
• → Relays
• → Switches – Push Button
• → Breadboard
• → LEDs
• → Resistors
• → Connecting leads

Course Schedule

Overall Duration: 6 to 8 Weeks

Weekday: 1 hour per day (Mon-Fri)

Weekend: 2 hours per day (Sat-Sun)

Available Languages: English, Tamil

Mode of Learning: Live Online Meet

We undertake class training room sessions for students/professionals at your premises over weekend

Certification available

To know about training batch slot availability and fees, enquire now

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