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Edge Computing Principles and Edge Devices in IoT – CR000477

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Subject – Tech Industry Internet of Things (IoT) and Edge Computing

Industry – Tech Industry

Introduction:

Welcome to the eLearning course on Edge Computing Principles and Edge Devices in IoT, brought to you by T24Global Company. In this course, we will explore the concept of edge computing and its significance in the rapidly evolving field of Internet of Things (IoT). We will delve into the principles behind edge computing and the various edge devices that play a crucial role in enabling efficient and real-time data processing.

The tech industry is witnessing a paradigm shift with the proliferation of IoT devices and the exponential growth of data generated by them. Traditional cloud computing models are facing challenges in handling the massive influx of data, leading to latency issues and increased network traffic. This is where edge computing comes into play.

Edge computing is a decentralized computing architecture that brings computation and data storage closer to the source of data generation. By processing data at the edge of the network, near the devices and sensors, edge computing minimizes latency, reduces bandwidth usage, and enables real-time decision-making. This course will provide you with a comprehensive understanding of the principles that underpin edge computing and its role in the IoT landscape.

Throughout the course, we will explore the various edge devices that form the backbone of edge computing infrastructure. These devices include gateways, routers, microservers, and edge analytics platforms. We will delve into their functionalities, capabilities, and their role in enabling seamless communication and data processing between IoT devices and the cloud.

Moreover, we will discuss the challenges and considerations associated with edge computing, such as security, scalability, and interoperability. As edge computing becomes increasingly prevalent in various industries, it is crucial to understand how to address these challenges and ensure a robust and secure edge computing ecosystem.

By the end of this course, you will have a solid understanding of edge computing principles and the importance of edge devices in the context of IoT. You will be equipped with the knowledge to design and implement edge computing solutions, enabling you to leverage the power of real-time data processing and optimize your IoT deployments.

So, whether you are a professional working in the tech industry, an IoT enthusiast, or a decision-maker looking to enhance your organization’s IoT capabilities, this eLearning course will provide you with the necessary knowledge and skills to navigate the world of edge computing effectively.

Get ready to embark on an exciting journey into the realm of edge computing principles and edge devices in IoT. Let’s dive in and explore the limitless possibilities that edge computing offers in the ever-evolving tech industry.

NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/edge-computing-principles-and-edge-devices-in-iot/ (copy URL)

 

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Lessons Included

 

LS004661 – Edge Computing Principles and Edge Devices in IoT – Challenges & Learnings

LS003615 – 5G and Edge Computing Integration in Tech

LS002569 – Edge AI and Machine Learning in IoT

LS001523 – IoT Security and Privacy Challenges

LS000477 – Real-time Data Processing at the Edge

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