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IoT

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Course Requirements

The are no prerequisites for joining this workshop. Any one interested, can join this workshop. While a basic C Programming would be helpful, it is not compulsory. Student from any stream/background can attend this workshop.

Course Description

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 RaspberryPi enviornment for creating your own embedded projects at low cost
  • How to connect your RaspberryPi with your Android phone.
  • 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.


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 Timezone
  • 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/ Datacard 

 

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 


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. 

Day 2

Project 4: Integrating Temperature & Humidity Sensor with Raspberry Pi read Current Enviornment Values.
Project 5: Reading Environmental Values on Android Smartphone.

  • Talking to your Android Phone with RaspberryPi
  • Connecting RaspberryPi with Mobile Device.
  • The Android Mobile OS.
  • Using the Bluetooth Module


Project 6: Control Devices using Localhost Web Server for Home Automation.

  • Integrating Ethernet Module & Testing DHCP Connection
  • Creating Program for Localhost Web Server for controlling devices.


Project 7: 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 8: Automatically Tweet Sensor Data on Twitter.
Project 9: Control Electronic Devices from anywhere across the world using Internet & Mobile App.

Duration: The duration of this workshop will be two consecutive days, with 6-7 hour session each day in a total of 12-14 hours.

Course Outcomes

  • Certificate of Merit for all the workshop participants from AI4NoCode
  • Certificate of Coordination for the coordinators of the workshops from AI4NoCode

Course Curriculum

Instructor

AI4NoCode Instructor Team

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9 Courses

Experienced Instructor Team for Cutting-Edge Tech Training

Our instructor team consists of seasoned professionals with extensive industry experience in the latest technologies, including:
  • Generative AI: Experts in applying AI models for task automation, workflow optimization, and decision support in DevOps and IT operations
  • DevOps: Proficient in streamlining operations, forecasting risks, optimizing resource allocation, and improving system reliability using AI-driven tools and techniques
  • IoT: Knowledgeable in building intelligent, interconnected systems that leverage machine learning for real-time decision-making and autonomous control
  • Web Development: Skilled in developing cutting-edge web applications using the most up-to-date frameworks and best practices
  • Mobile Development: Experienced in creating innovative mobile apps for both iOS and Android platforms
  • Cloud Computing: Proficient in AWS and Azure, with expertise in cloud architecture, deployment, and management
Our instructors bring a wealth of practical knowledge and hands-on experience to the classroom, ensuring that students gain the skills needed to thrive in today's fast-paced, technology-driven world. Through interactive sessions, real-world case studies, and project-based learning, students will learn how to leverage these technologies to drive innovation and achieve business goals.

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IoT using RaspberryPi Training

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