Industrial IoT on Google Cloud

Welcome to the course, Industrial Internet of Things (IoT) on Google Cloud. 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 Google Cloud courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs. This course takes about 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 the hands-on labs.
Course info
Level
Beginner
Updated
Jun 8, 2020
Duration
1h 31m
Table of contents
Welcome to Industrial IoT on GCP
Foundations of GCP Architecture
Sensors, Devices, and Communication
Google Cloud IoT Platform
Creating IoT Data Pipelines
Analyzing Data with BigQuery
Analyzing IoT Dataprep and Data Studio
Course resources
Description
Course info
Level
Beginner
Updated
Jun 8, 2020
Duration
1h 31m
Description

Welcome to the course, Industrial Internet of Things (IoT) on Google Cloud. 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 Google Cloud courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs. This course takes about 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 the hands-on labs.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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