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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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