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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 1000yesIIT Kanpur

The Syllabus

  • Introduction to Cloud and its limitations to support low latency and RTT. From Cloud to Edge computing: Waves of innovation

  • Introduction to Edge Computing Architectures

  • Edge Computing to support User Applications (5G-Slicing, self-driving cars and more)

  • Concepts of distributed systems in edge computing such as time ordering and clock synchronization, distributed snapshot, etc.

  • Introduction to Edge Data Center, Lightweight Edge Clouds and its services provided by different service providers.

  • Introduction to docker container and Kubernetes in edge computing. Design of edge storage systems like key-value stores

  • Introduction to MQTT and Kafka for end-to-end edge pipeline. Edge analytics topologies for M2M and WSN network (MQTT)

  • Use cases of machine learning for edge sensor data in predictive maintenance, image classifier and self-driving cars. Deep Learning On-Device inference at the edge to support latency-based application

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