Industrial IoT on Google Cloud Platform

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课程主页: https://www.coursera.org/archive/iiot-google-cloud-platform

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Google Cloud IoT Platform
Optional Capstone Project

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By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< Welcome to the Coursera course, Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) brought to you by the Google Cloud team. I’m Catherine Gamboa and I’m going to be your guide. This course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side. You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT. The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs. This course takes about two weeks to complete, 11-12 hours of work with 6 of those hours spent in labs. By the end of this course, you’ll be able to: create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep. You'll learn and practice these skills in 7 labs. Then you'll have an opportunity to test yourself in an optional capstone lab using simulated devices or Cloud IoT Core Inspector.

Google Cloud Platform上的工业物联网:注册参加此专业,即表示您同意FAQ中列出的Qwiklabs服务条款,该条款位于:https://qwiklabs.com/terms_of_service&lt;&lt;&lt; 欢迎使用由Google Cloud团队为您提供的Coursera课程,即基于Google Cloud Platform(GCP)的工业物联网(IoT)。我是Catherine Gamboa,我将成为您的向导。 本课程涵盖从传感器,设备到分析的整个工业物联网网络架构。该课程讨论传感器和设备,但重点是在云方面。您将了解扩展,设备通信和处理流数据的重要性。该课程使用实验室中的模拟设备,使您可以专注于学习IIoT的云端。该课程与大多数Coursera课程略有不同,因为几乎没有视频。大多数学习都是通过简短的阅读,测验和实验完成的。 本课程大约需要两周的时间才能完成,需要11-12个小时的工作时间,其中有6个小时是在实验室中度过的。在本课程结束时,您将能够:创建流数据管道,使用Cloud IoT Core创建注册表,使用Cloud Pub / Sub创建主题和订阅,在Google Cloud Storage上存储数据,在BigQuery中查询数据,并通过Dataprep获得数据见解。您将在7个实验室中学习和练习这些技能。然后,您将有机会使用模拟设备或Cloud IoT Core Inspector在可选的顶点实验室进行测试。

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