Internet of Things using Raspberry Pi and PYTHON

The basic usage of the Raspberry Pi environment for creating your own embedded projects at a low cost

Workshop Highlights 

• What “the Internet of Things” means and how it relates to Cloud computing concepts
• How open platforms allow you to store your sensor data in the Cloud
• The basic usage of the Raspberry Pi environment for creating your own embedded projects at a low cost
• How to send data to the Internet and talk to the Cloud.
• How to update sensor readings on Twitter (Social Networking Sites).
• Control a Relay Switch from anywhere across the world using IoT Platform from your Phone or PC.

Course Content 

Day 1

• Introduction to the Internet of Things
  • The Internet of Things
  • The Basics of Sensors & Actuators
  • Introduction to Cloud Computing
• Understanding and Introduction to RPi  
  • What is SOC?
  • Versions of Raspberry Pi & Their Difference
  • Raspberry Pi 3
  • Basics of Electronics
  • Hardware Description
  • Pin Configuration
• OS Installation on SD Card  
  • Downloading Image
  • Study Various Operating Systems Available
  • Making SD Card: Formatting and Partitions
  • Raspberry Pi SD Installer  
•  OS Configuration  
  • Booting Into Desktop
  • GUI Version
  • CLI Desktop
  • Changing Time zone
  • Other Options
  • Raspi-Config
  • Test
• Network Setup  
  • Setting Up Using GUI
  • Setting Up Using Command Line
  • Finding Pi’s IP Address
  • Connecting with Wi-Fi/ LAN/ Data card 
• GPIO  
  • Study GPIO Pins
  • Libraries Using Git
  • Configuring GPIO Pins  
• Pi using SSH  
  • Enabling SSH
  • Logging in using Putty
  • Run Basic Commands
  • Use GPIO 
• Linux 
  • Understanding Linux
  • File Structure
  • Linux Commands
  • Permissions
• Using Python 
  • Understanding Python
  • Condition Statement
  • Loops
  • Importing Libraries
  • Functions 

Day 2 & 3

Project 1:

• LED Program with Raspberry Pi

Project 2:

• Controlling LED with a Switch using Raspberry Pi.

Project 3: 

• Integrating IR Sensor with Raspberry Pi. 

Project 4:

• Integrating Temperature & Humidity Sensor with Raspberry Pi read Current Environment Values.

Project 5: 

• Control Devices using Localhost Web Server for Home Automation.
• Creating Program for Localhost Web Server for controlling devices.

Project 6:

• Send Sensor Data on Cloud Server.
• Cloud Computing
• Communicating with the Cloud using Web Services.
• Cloud Computing & IoT.
• Popular Cloud Computing Services for Sensor Management.

Project 7:

• Control Electronic Devices from anywhere across the world using Internet & Mobile App.

Etc.