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This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.
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Data is the most important asset in the Cloud Computing era. This course focuses on the collection, storage and management of big data. It provides a comprehensible frame structure for Data Analysis. It also explains how to configure and make extensive use of Machine Learning and Artificial Intelligence by using Google Cloud.
Discover a variety of managed big data services in the cloud.
Explain what machine learning is, the terminology used, and its value proposition.
You Have the Data, but What Are You Doing with It?
Let Machines Do the Work
This module explains what machine learning is, the terminology used, and its value proposition.
Course Summary
This module provides a course summary.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
