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Cloud Platforms for IoT
Highest Rated
Rating: 4.5 out of 5(74 ratings)
316 students

Cloud Platforms for IoT

Various Cloud Platforms
Created byParag Achaliya
Last updated 10/2023
English

What you'll learn

  • Learners will learn various Cloud Platforms for IoT in this course.
  • Learners will learn various Cloud Storage Models, Communication API in this course.
  • Learners will also learn Auto Bahn for IoT, Xively Cloud for IoT in this course.
  • Learners will also learn Django Architecture, Amazon Web Services for IoT, Sky Net IoT Messaging Platform, GRPC,SOAP in this course.

Course content

1 section6 lectures1h 33m total length
  • Software Defined Networking, its Architecture, How it works, Benefits, Challenge25:38

    Explore software defined networking (sdn) architecture and its separation of control and data planes, with a centralized controller and layered infrastructure, to improve network control and management.

  • Cloud Storage Models, WAMP-AutoBahn for IoT13:14
  • Xively Cloud for IoT, Django8:45
  • Amazon Web Services (AWS) for IoT14:56

    Explore AWS IoT services, including EC2 for scalable compute, auto scaling, S3 for storage, DynamoDB, Kinesis for real-time streaming, SQS for messaging, and EMR for big data analytics.

  • Sky Net IoT Messaging Platform, gRPC, SOAP14:05
  • Addressing Techniques in IOT16:32
  • MCQ Based Quiz

Requirements

  • Basics on IoT

Description

In this course, learners will be going to study various cloud platforms required for the Internet of Things (IoT) applications. To study this course, learners must be aware of the concept of the Internet of Things (IoT). In the beginning, learners will be going to learn about Software Defined Networking (SDN), SDN Architecture, How SDN Works, Benefits of SDN, Challenges in SDN, various Use Cases of SDN. After that, learners will be going to study various Cloud Storage Models and different Communication API. After this, learners will be going to study the WAMP: AutoBahn for Internet of Things (IoT) and the Xively Cloud for Internet of Things (IoT). Then learners will be going to study the Python Web Application Framework: Django and its Architecture. Later on, learners will be going to study various Amazon Web Services for Internet of Things (IoT) like EC2, Auto Scaling, S3, RDS, DynamoDB, Kinesis, SQS, EMR, etc. Then learners will also be going to study the Sky Net IoT Messaging Platform. And at the end of this course, learners will be going to study the Google Remote Procedure Call (gRPC) and Simple Object Access Protocol (SOAP). After successful completion of this course, learners will be able to understand various cloud platforms that can be used to implement cloud-based IoT applications.

Who this course is for:

  • Learners of Cloud Platforms for IoT