IOT Internet of Things Training Course in Jaipur

 

Course Name – Internet of Things Training Course

Duration – 1.5 Months

 

The IOT Internet of Things Training Class (IoT, sometimes Internet of Everything) is that the network of physical objects or “things” embedded with electronics, software, sensors, and connectivity to enable objects to exchange data with the manufacturer, operator and/or other connected devices supported the infrastructure of International Telecommunication Union‘s Global Standards Initiative. the internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and leading to improved efficiency, accuracy and economic benefit. Each thing is uniquely identifiable through its embedded automatic data processing system but is in a position to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will contain almost 50 billion objects by 2020.Learn beat IOT Internet of Things Training Class.

 

All your stuff may very well be linked to the interwebs in order that they will obtain information, “talk” to each other, and provide the user useful data eventually leading him/her to steer more efficient lives.

 

Terms and Basic Definitions

 

Below, we’ve provided a glossary defining the internet of Things:

 

  • Internet of Things: A network of internet-connected objects ready to collect and exchange data using embedded sensors.

  • Internet of Things device: Any stand-alone internet-connected device which will be monitored and/or controlled from a remote location.

  • Internet of Things ecosystem: All the components that enable businesses, governments, and consumers to attach to their IoT devices, including remotes, dashboards, networks, gateways, analytics, data storage, and security.

  • Entity: Includes businesses, governments, and consumers.

  • Physical layer: The hardware that creates an IoT device, including sensors and networking gear.

  • Network layer: liable for transmitting the info collected by the physical layer to different devices.

  • Application layer: This includes the protocols and interfaces that devices use to spot and communicate with one another .

  • Remotes: Enable entities that utilize IoT devices to attach with and control them using a dashboard, like a mobile application. They include smartphones, tablets, PCs, smartwatches, connected TVs, and nontraditional remotes.

  • Dashboard: Displays information about the IoT ecosystem to users and enables them to regulate their IoT ecosystem. it’s generally housed on a remote.

  • Analytics: Software systems that analyze the info generated by IoT devices. The analysis is often used for a spread of scenarios, like predictive maintenance.

  • Data storage: Where data from IoT devices is stored.

  • Networks: the internet communication layer that permits the entity to speak with their device, and sometimes enables devices to speak with one another .

 

IOT Platforms

 

One IOT device connects to a different to transmit information using Internet transfer protocols. IoT platforms function the bridge between the devices’ sensors and therefore the data networks.

 

The following are a number of the highest IoT platforms on the market today:

 

  • Amazon Web Services

  • Microsoft Azure

  • ThingWorx IoT Platform

  • IBM’s Watson

  • Cisco IoT Cloud Connect

  • Salesforce IoT Cloud

  • Oracle Integrated Cloud

  • GE Predix

 

Detailed Syllabus of IOT Internet of Things Training Class

 

Introduction of IOT

 

  • History & Need of IOT

  • Basic components of IOT

  • Hardware Classification of IOT

  • Programming Language Classification of IOT

 

Elements of IOT

 

  • Identification

  • Sensing

  • Communication

  • Computation

  • Services

  • Semantics

 

IOT architecture

 

Different layer design

 

  • Three layer

  • Middle layer

  • Five layer

 

Exploring layers

 

  • Business layer

  • Application layer

  • Service management layer

  • Object abstraction layer

  • Object layer

 

Sensor node deployment techniques

 

IOT for ubiquitous computing

 

IOT common Standards

 

  • Application protocol

  • Service discovery protocol

  • Infrastructure protocol

  • Other influential protocol

 

IOT with wifi router

 

  • Introduction to Client server architecture

  • Implementation of client server architecture.

  • Use of AT commands to regulate a router.

  • Sending data using router through IP addresses

  • Implementation of virtualization in IOT.

  • Interfacing of PC with IOT.

  • Interfacing of sensor nodes with IOT router.

 

IOT using Lua programming

 

  • Introduction to Lua programming.

  • Advantages of Lua over embedded c.

  • Program to regulate display devices using Lua.

  • Program to regulate input devices using Lua.

  • Applications.