Foundation of Cloud IOT Edge ML

Course Duration: 8 Weeks


(0) 42 Students
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What you will learn

  • Computer Science and Engineering

The disrupted conventional computing models for internet of things(IoT), cloud computing, machine learning and embedded technologies have emerging computing paradigms called as Edge Computing . Computing has taken many shapes from edge to cloud. This course has been designed with an objective to provide a comprehensive understanding of relevant technologies (IoT, ML and Cloud) for various emerging computing paradigms of Edge Computing. Emerging applications of Internet of Things (IoT) such as augmented reality, self-driving cars, and many more are delay sensitive and computation intensive involve computing with large amount of data generated from massively distributed end users require real-time processing. Although the success of cloud computing for supporting high performance computing has been witnessed in recent years, its inefficiency in quality of service (QoS) provisioning for delay sensitive applications as well as high energy consumption has been the bottleneck for the development of delay-sensitive IoT applications. Edge computing has recently emerged as an extension to cloud computing for QoS provisioning for delay-sensitive applications. It supports cloud-like computing in the network edge by deploying computing and network resources along the path between data source and cloud datacenters. This course provides an in-depth understanding of terminologies and the core concepts behind Cloud-IoT-Edge problems, applications, systems and the techniques, that underlie today's cutting-edge technologies. It provides an introduction to some of the start-of-the-art IoT and wireless networks, edge and virtualization technologies, recent trends in computer hardware for artificial intelligence, spatial localization and detection, tensor processing unit for fast and affordable artificial intelligence (AI). And while discussing the concepts and techniques, we will also look at various applications of Cloud-IoT-Edge using Machine Learning, Deep Learning, and many others. The course is suitable for all UG/PG students and practicing engineers/ scientists from the diverse fields and interested in learning about the novel cutting edge techniques and applications of Cloud-IoT-Edge.

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51 Students
741 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.



  • Course Duration
    17 h 38 m 4 s
  • Course Level
  • Student Enrolled
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This Course Includes
  • 17 h 38 m 4 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion