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Internet of Things: Design Concepts and Use Cases

Description

This course is designed to help learners get deeper into concepts of Internet of Things (IoT) while improving their ability to handle sensor networks for the practical environments. The course content is focused around several essential aspects of IoT including: Architecture, trends, design and challenges in IoT Domain, Communication Protocols, Arduino Hardware and Programing, Practical aspects of Sensor Network Design, Cloud Computing and several essential case studies for IoT based automation systems. The practical based learning included in this course may help beginners to grow their skills to address wide range of sensing and control applications with IoT based designs. The effective use of hardware systems with case studies described in this course can build confidence of learners to implement skills in real time settings. Total study time is 20 hours including e-learning material and web-sources.

Online Courses

Swayam

28th Jan, 2024

Paid Certificate

Internet of Things: Design Concepts and Use Cases

Affiliate notice

  • Type
    Online Courses
  • Provider
    Swayam
  • Duration
    28th Jan, 2024
  • Certificate
    Paid Certificate

This course is designed to help learners get deeper into concepts of Internet of Things (IoT) while improving their ability to handle sensor networks for the practical environments. The course content is focused around several essential aspects of IoT including: Architecture, trends, design and challenges in IoT Domain, Communication Protocols, Arduino Hardware and Programing, Practical aspects of Sensor Network Design, Cloud Computing and several essential case studies for IoT based automation systems. The practical based learning included in this course may help beginners to grow their skills to address wide range of sensing and control applications with IoT based designs. The effective use of hardware systems with case studies described in this course can build confidence of learners to implement skills in real time settings. Total study time is 20 hours including e-learning material and web-sources.