Google Professional Machine Learning Engineer Exam Preparation

DifficultyIntermediate
AVG Duration13h
Students836
Ratings
4.4/5
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Content
7123

Description

This learning path is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam. Even if you don't plan to take the exam, these courses will help you gain a solid understanding of how to implement machine learning on Google Cloud Platform. Candidates who pass the exam will earn the Google Professional Machine Learning Engineer certification.

The Professional Machine Learning Engineer exam tests your knowledge of six subject areas.

Learning Objectives

  • Framing machine learning problems
  • Architecting machine learning solutions
  • Designing data preparation and processing systems
  • Developing machine learning models
  • Automating and orchestrating machine learning pipelines
  • Monitoring, optimizing, and maintaining machine learning solutions

Intended Audience

  • Data professionals
  • People studying for the Google Professional Machine Learning Engineer exam

Prerequisites

  • Basic understanding of cloud concepts
  • Experience writing Python code

Feedback

If you have thoughts or suggestions on this learning path, please contact Cloud Academy at support@cloudacademy.com.

Certificate

Your certificate for this learning path

Training Content

1
Course - Beginner - 46m
FREE
Overview of Google Cloud Platform
In this course, you'll learn about GCP services such as compute, storage, and networking, and how to create virtual machines and web apps using the Google Cloud Console and gcloud CLI.
2
Exam - 20m
Knowledge Check: Overview of Google Cloud Platform
Knowledge Check: Overview of Google Cloud Platform
3
Course - Beginner - 1h 5m
Getting Started With Deep Learning: Working With Data
Learn the ways in which data comes in many forms and formats with this course.
4
Course - Beginner - 2h 4m
Getting Started with Deep Learning: Introduction To Machine Learning
This course covers the foundations and history of machine learning as well as the principles of memory storage, computing power, and phone/web applications.
5
Course - Intermediate - 1h 3m
Introduction to Google AI Platform
In this course, you'll learn how to train and deploy neural networks with Google AI Platform.
6
Course - Beginner - 1h 2m
Getting Started With Deep Learning: Improving Performance
In this course, you'll learn how to improve the performance of your neural networks with this learning path.
7
Hands-on Lab - Intermediate - 45m
Inspecting and De-Identifying Data With Google Cloud Data Loss Prevention
In this lab, you will inspect data stored in Cloud Storage and understand the sensitive information therein.
8
Course - Beginner - 36m
FREE
Introduction to Google BigQuery
Learn how to load data into BigQuery, run queries using standard SQL, and export data from BigQuery with this hands-on course.
9
Hands-on Lab - Beginner - 35m
Structure and Analyze Data with Google BigQuery
This Lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.
10
Hands-on Lab - Intermediate - 1h
Drawing Insights with BigQuery ML
This lab will explain some of the basic concepts of BigQuery ML along with an example of training a linear regression and binary logistic regression model.
11
Course - Intermediate - 1h 9m
Introduction to Google Cloud Dataflow
In this course, you'll learn how to write data processing programs using Apache Beam and run them using Cloud Dataflow, as well as learning how to run both batch and streaming jobs.
12
Resource - Intermediate - 3h 5m
Required Reading for Google Professional Machine Learning Engineer Exam
Recommended Reading for Google Professional Machine Learning Engineer Exam
13
Exam - 2h
Cert Prep: Google Professional Machine Learning Engineer
Cert Prep: Google Professional Machine Learning Engineer
About the Author
Students174962
Courses98
Learning paths147

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).