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Preparing for Google Cloud Certification: Machine Learning Engineer

United States

The Non-degree in Preparing for Google Cloud Certification: Machine Learning Engineer at Google is a program for international students taught in English.

📖 Introduction

Google is a multinational technology company, founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University. Initially focused on developing a powerful search engine, Google has since expanded its reach into various fields including advertising, cloud computing, artificial intelligence, and hardware. As a public company and a subsidiary of Alphabet Inc., Google is distinguished for its innovative products and services such as Google Search, Google Maps, YouTube, and Android. It is renowned for its mission to organize the world’s information and make it universally accessible and useful.

📚 About the Program

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.\n\nHere's what you have to do\n\n1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate\n\n2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam\n\n3) Review the Professional Machine Learning Engineer exam guide\n\n4) Complete Professional Machine Learning Engineer sample questions\n\n5) Register for the Google Cloud certification exam (remotely or at a test center)\n\nApplied Learning Project\n\nThis professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.\n\nHere's what you have to do\n\n1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate\n\n2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam\n\n3) Review the Professional Machine Learning Engineer exam guide\n\n4) Complete Professional Machine Learning Engineer sample questions\n\n5) Register for the Google Cloud certification exam (remotely or at a test center)\n\nApplied Learning Project\n\nThis professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

🏫 About the University

Google, established in 1998 by Larry Page and Sergey Brin, began as a research project aimed at improving internet search functionality. Today, it is one of the largest technology companies in the world, offering a wide range of digital products and services that have transformed industries like advertising, mobile operating systems, and cloud computing. Google is recognized for its commitment to innovation, user-focused design, and its impact on everyday life through products like Gmail, Google Chrome, and the Google Assistant. Known for its open, collaborative work culture, Google continues to lead the way in artificial intelligence, data science, and digital transformation.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

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📬 Admissions Process


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