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Google Cloud

Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

Google Cloud via Independent

Overview

The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide a detailed overview of concepts covering cloud basics, big data, and machine learning, and where and how Google Cloud fits in.

By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning, and demonstrate some hands-on skills.

This course is part of a series of courses called Google Cloud Computing Foundations. The courses should be completed in the following order:

  1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
  2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
  3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
  4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

This final course in the series reviews managed big data services, machine learning and its value, and how to demostrate your skillset in Google Cloud further by earning Skill Badges.

When you complete this course, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Syllabus

You Have the Data, but What Are You Doing with It?

This module explores a variety of managed big data services in the cloud.

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 and the opportunity to earn another Google Cloud Skill Badge.

Taught by

Google

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

  • Profile image for Khushi
    Khushi
    This course gives the brief knowledge about what is Data and its related information.
    With the advent of new methods usually identified under the banners of artificial intelligence (AI) and machine learning (ML), statistical analysis methods of complex and uncertain manufacturing systems have been undergoing significant changes. Therefore, various definitions of AI, a brief history, and its differences with traditional statistics are presented.

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