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Internet of things Training certification

INR 15000.00

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#79 1st Main road 2nd Block, Nandini Layout, Bangalore, Karnataka, 560096

IoT (internet of things) technology enables individuals to achieve deeper automation, real-time analysis, and device integration within a system. This IoT course helps individuals to utilize existing and emerging technology for sensing, networking, and robotics and become a master in the field of IoT(internet of things). This IoT certification course helps you to be a part of the IoT revolution underway in the world.

What is Internet Of Things (IoT)?

The Internet of things describes the network of physical objects—“things” or objects—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet.

Why Internet Of Things (IoT) Certification is best?

IoT encourages the interaction between devices called as a machine to machine interaction. It provides good automation and control. Integrated with more technical information, so it is better to operate. … IoT helps to save more money by reducing manual task and time.

Job Opportunities for Internet of Things (IoT) Training?

  • IoT will have an economic impact of up to $11 trillion by 2025 – McKinsey Global Institute
  • There will be 250 million IoT-connected automobiles creating new advancements in transportation by 2021

This IoT training helps for the individual who are interested in this field. The average salary for an IoT developer is around 6 lakh- 11 lakh per annum based on experience . The average salary for an IoT engineer is around 4 lakh – 10 lakh per annum as per today’s market trend

Skills Covered in Internet of Things (IoT)?

  • Introduction and components of IoT
  • Iot device design with Arduino , raspberry pi ,custom PCB’S
  • Circuit designing skills with micro controller programming
  •  Network design and management
  •  Applications, user interfaces for interacting and consuming data from IoT devices
  •  Web and mobile applications are developed using high-level languages, with Java, python, and Node.js
  • Security aspects data encryption, appropriate authentication
  •  Data and artificial intelligence (AI)

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