Internet of Things (IoT) Fundamentals Certification Training

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The course has been designed on behalf of increasing the demand of “Internet of things”.  This course is demand of industries to fulfill the requirement of IoT professionals.  In this course candidate will be taught every topic that is required and mentioned in the course content. As usual, the course starts from the basic information but in deep like “what is IoT”, the scope, benefits, and effects of IoT on various digital technology and devices.  Here candidates can learn the mechanism of Machine to Machine (M2M) communication, understanding of IoT ecosystem, industrial internet, and IoT on cloud.

There are lots of technicalities with IoT course that candidates will learn through regular classes.

Target Audience

Anyone, with an interest in “Internet of Things”, those who intend to know about the potential and highly interested to build a career in this domain.

Required Skills

  • Familiar with basic programming & with Internet technologies (like TCP/IP & HTTP) would help Basic knowledge in electronics is helpful but not mandatory
Application areas of IOT
  • Environmental Monitoring (Habitat, Wildlife, Earthquakes, volcano, water…)
  • Smart Homes, Structural Monitoring, Buildings
  • Smart Cities
  • Transportation
  • Healthcare
  • Warfare, Physical Intrusion Detection, Surveillance
After successfully completing this course, candidate will be able to:
  • Define all the terms of “Internet of Things”
  • Describe the technological tendencies which have led to IoT
  • Define the influence of IoT on society
  • Defining the embedded system in terms of interface of IoT
  • Compute and describe the mechanisms of an embedded system
  • Describe the relations of embedded systems with the real world
  • List the hardware devices commonly used in IoT devices
  • Explain the contact between software and hardware in an IoT device
  • Tell the role of the operating system to support the software in an IoT device
  • Describe the structure of the Internet

Module 1: Hands-on IOT App with Smart Hardware

  • What is Internet of Things?
    • Current technological trends and near future prospects
    • Digital world, real world and augmented world
    • M2M communication and automation history
    • Relation with embedded systems
    • General introduction to Arduino, Raspberry Pi and smartWIFI boards
    • Introduction to IOT
  • Why and How IOT Evolved?
    • Industrial internet
    • Evolution of deskless workforce
    • TPM, OEE and various other approaches
    • Need for real time insights
  • Understanding IOT Ecosystem
    • What is IOT application ?
    • What are basic elements / building blocks of IOT app ?
    • How are these blocks connected together ?
    • The systematic method to design IOT application
    • Architecting our hands-on project
  • What are Available Platforms for IOT Application?
    • Hardware devices: arduino, raspberry pi and smartwifi, etc.
    • Wearable development boards
    • Cloud platforms for IOT
    • Softwares, programs and stacks available for building IOT applications
    • How each of the above would be applicable in our hands-on project
    • Installation of various packages necessary for project and list of tools
  • Working with Smart Hardware
    • Understanding smartWIFI hardware and sensors ?
    • Drivers and libraries installation
    • LUA language basics and program samples
    • Understanding basic hardware API
  • Send Data on Internet
    • Using freeboard.io to build a quick dashboard
    • Understand data posting format for dweet.io
    • Modify script to send data to dweet.io using http API on smart-Wi-Fi
    • Data visualization on dashboard
  • Understanding MQTT Protocol Basics
    • How it works?
    • Broker and client terminologies
    • Publisher and subscriber model
  • Use Case Project
    • Control onboard RGB LED with API
    • Controlling LED using GPIO commands
    • Using Timers to do repetitive task
    • Connecting to wifi access point
    • HTTP utility for webpage download and data posting
    • Reading button status and show data on USB terminal
    • Interfacing of temperature sensor
    • Interfacing of light sensor
    • Understand working of broker, web-sockets demo and mqtt phone-app
    • Use mqtt API on smartWiFi to initiate mqtt connection with broker
    • Write LUA script to read onboard sensors and send data to cloud server
    • Act on message from server and respond locally
    • Use mobile phone-app or web-browser to perform interactive control

Module 2: Build your own IOT Platform on Cloud

  • What is Internet of Things?
    • Current technological trends and near future prospects
    • Digital world, real world and augmented world
    • Introduction to IOT
  • Understanding IOT Ecosystem
    • What is IOT application?
    • What are basic elements / building blocks of IOT app?
    • How are these blocks connected together?
    • The systematic method to design IOT application
    • Architecting our hands-on project
  • What are Available Hardware Devices for IOT Application?
    • Hardware devices: arduino, raspberry pi and smart-Wi-fi, etc.
    • Understanding smart hardware being used for hands-on project
  • What are Essentials for Building Own IOT Platform?
    • Software, programs and stacks required
    • Accessing your cloud instance and preliminary installations
    • Installation of various packages necessary for project and list of tools
  • Understanding MQTT Protocol Basics
    • How it works?
    • Broker and client terminologies
    • Publisher and subscriber model
  • Hands on Project
    • Listing down web services and APIs required
    • Design database schema and create
    • Configure mqtt broker to work as a bridge for communication
    • Configure MySQL database & table to store the sensor values
    • Creating database listner
    • Creating database retrieval mechanism
    • Create JavaScript web socket
    • Creating Rest API
    • Configure smart WI-FI to send and receive the data
    • User interface screen – webpage made with HTML + CSS
    • Creating sensor visualization screen

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