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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT 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
Instructors
Articles
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17 Sep'24, 12:55 PM
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29 Feb'24, 06:05 AM
27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
17 Sep'24, 12:55 PM
17 Sep'24, 08:38 AM
17 Sep'24, 06:07 AM
16 Sep'24, 12:35 PM
16 Sep'24, 07:24 AM
14 Sep'24, 01:24 PM
13 Sep'24, 12:47 PM
13 Sep'24, 12:05 PM
13 Sep'24, 09:25 AM
13 Sep'24, 04:10 AM
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