IoT (Internet of Things) Training by Experts

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Our Training Process

IoT (Internet of Things) - Syllabus, Fees & Duration

Module 1 - Introduction

  • Concepts & Definitions 
  • Myth with IoT
  • Business with IoT
  • Carrier in IoT
  • IoT Applications
  • IoT system overview 
  • Node, Gateway, Clouds 
  • Why IoT is essential
  • Machine learning
  • Artificial Intelligence

Module 2 - IoT Architecture

  • IoT Network Architecture
  • IoT Device Architecture
  • IoT Device Architecture
  • Publish-Subscribe architecture

Module 3 -  IoT Device Design

  • Sensors
    • Classification & selection criteria based on the nature ,frequency and amplitude of the signal
  • Embedded Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266

Module 4 -  IoT Communication Protocols

  • Wired Communication Protocols
  • Wireless Communication Protocols
  • Application Protocols – MQTT, CoAP, HTTP, AMQP
  • Transport layer protocols – TCP vs UDP
  • IP- IPv4 vs IPv6

Module 5 - Cloud

  • Concept & Architecture of Cloud
  • Public cloud vs Private cloud
  • Different Services in cloud (IAAS / PAAS / SAAS)
  • Importance of Cloud Computing in IOT
  • Leveraging different Cloud platforms.

Module 6 - Designing The IoT Product

  • Interfacing peripherals & Programming GPIOs - Input/output peripherals, Sensor modules
  • Design Considerations – Cost, Performance & Power Consumption tradeoffs

Module 7 - Programming

  • Embedded C
  • Python
  • Arduino

Module 8 -  Hands-On Using Raspberry Pi Board

  • Setting up board
  • Booting up Raspberry Pi
  • Running python on Raspberry Pi, GPIO programming
  • Interfacing sensors and LED (Input and output devices)
  • Making a few projects
  • Sending data to cloud 2 using Raspberry Pi board
  • Sending data to cloud 3 using Raspberry Pi board
  • Making raspberry Pi web server
  • Making raspberry PI TCP client and server
  • Making raspberry Pi UDP client and server

Module 9 -  Use Cases

  • A cloud-based temperature monitoring system using Arduino and Node MCU
  • Esp8266 WIFI controlled Home automation
  • Obstacle detection using IR sensor and Arduino
  • Remote controlling with Node MCU
  • Temperature monitoring using a Raspberry Pi as local server
  • Raspberry Pi controlling Esp8266 using MQTT
  • weather monitoring system using Raspberry Pi and Microsoft Azure cloud

Module 10 - Closer

  • Existing Product in Market
  • Barrier in IoT

Download Syllabus - IoT (Internet of Things)
This syllabus is not final and can be customized as per needs/updates
 
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IoT (Internet of Things) Jobs in Napier

Enjoy the demand

Find jobs related to IoT (Internet of Things) in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Napier, chennai and europe countries. You can find many jobs for freshers related to the job positions in Napier.

  • IoT Systems Engineer
  • IoT Project Manager
  • IoT tutor
  • IoT Software Developer
  • Industrial IoT Engineer
  • IoT Solution Architect
  • IoT Sales Executive
  • IoT Gateway Developer
  • Technical Support Engineer
  • Sales Manager IoT

IoT (Internet of Things) Internship/Course Details

IoT (Internet of Things) internship jobs in Napier
IoT (Internet of Things) We will remotely monitor our homes and businesses to keep them safe. The goal of automation is frequently efficiency, but it's easier said than done if you're acting on instinct or assumptions. Let's start with how devices connect to the internet and then move on to applications. Nestsoft will provide the best IoT training on-site with the assistance of field specialists. There are numerous opportunities in this field. The goal is to enable data and information sharing among different devices. The Internet of Things (IoT) depicts how objects are linked to create a smart environment. The advantages of IoT for business depend on how it is implemented; agility and efficiency are frequently top priorities. The Internet of Things (IoT) is a coinage for a network of physical objects linked by sensors, software, and knowledge. They will also examine the costs, efficiencies, and, consequently, the carbon footprint of various resources to make better decisions in their manufacturing operations.

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