Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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Course overview

What you'll learn

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Learn the skills needed to be successful in a machine learning engineering role
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Prepare for the Google Cloud Professional Machine Learning Engineer certification exam
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Understand how to design, build, productionalize ML models to solve business challenges using Google Cloud technologies
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Understand the purpose of the Professional Machine Learning Engineer certification and its relationship to other Google Cloud certifications

Curriculum for this course

7 Lessons 00:00:00 Hours

Google Cloud Big Data and Machine Learning Fundamentals

4 Lessons 00:00:00 Hours

Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.
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Describe best practices for implementing machine learning on Google Cloud
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Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
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Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.
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How Google does Machine Learning

3 Lessons 00:00:00 Hours

Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code
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Leverage Google Cloud tools and environment to do ML
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Identify different options to build machine learning solutions on Google Cloud.
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