What You Need to Know Before
You Start

Starts 6 June 2025 22:16

Ends 6 June 2025

00 days
00 hours
00 minutes
00 seconds

Edge Computing

Title: Edge Computing Course - Dive Deep into the World of Real-Time Computing Description: Dive into the essentials of Edge Computing with our comprehensive course, designed for enthusiasts keen to master the fundamentals and applications of this pivotal technology. This course is meticulously crafted to explore the theory behind Edge Computing an.
via Swayam

125 Courses


Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

Overview

Title:

Edge Computing Course - Dive Deep into the World of Real-Time Computing

Description:

Dive into the essentials of Edge Computing with our comprehensive course, designed for enthusiasts keen to master the fundamentals and applications of this pivotal technology. This course is meticulously crafted to explore the theory behind Edge Computing and its role as a critical complement to cloud computing, particularly in scenarios demanding low latency and high-throughput computing.

Throughout this course, students will gain insights into various real-time applications where Edge Computing is indispensable, including autonomous vehicles which necessitate immediate data processing directly at the source to overcome latency challenges inherent in centralized data centers.

Participants will be introduced to the evolution from cloud to edge computing, encapsulating the myriad innovations that have emerged in this space.

A deep dive into Edge Computing principles will be complemented by an examination of diverse use cases, from predictive maintenance in industrial settings to breakthroughs in autonomous driving and edge-optimized deep reinforcement learning algorithms.

The curriculum is enriched with discussions on different frameworks that facilitate computing across edge devices and the cloud, alongside techniques for distributed data analytics. Key concepts such as Round-Trip Time (RTT), containerization with Docker, orchestration with Kubernetes, and data streaming with MQTT and Kafka will be thoroughly covered.

Additionally, the course will elucidate on time synchronization techniques and the implementation of key-value stores in edge environments.

With a focus on cutting-edge developments, this course also delves into the latest advancements in machine learning, deep learning, and artificial intelligence, illustrating their impactful applications within edge computing infrastructures.

Designed for students and professionals in Computer Science, Electronics, and Electrical Engineering with a basic understanding of Networking, this course promises to bolster your expertise and open doors to innovation in numerous IT industries.

University:

Swayam Provider:

Swayam Categories:

Computer Science, MQTT, Kubernetes


Taught by

Prof. Rajiv Misra


Subjects

india