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Google Cloud Professional Data Engineer Certification Course (Udemy.com)

Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!

Created by: Jose Portilla

Last updated May 2023

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What you will learn

  • Learn what's needed to pass the Google Cloud Professional Data Engineer Certification Exam
  • Design Data Processing Systems with Google Cloud Tools
  • Operationalize Machine Learning Models for Deployment
  • Learn fundamentals of Big Data and Machine Learning
  • Discover how to use Google Cloud SQL and Spark
  • Learn to use BigQuery ML for predictions
  • Build real-time IoT Dashboards with DataFlow and Data Studio
  • Learn to use Google Cloud APIs for ML, such as Vision API and AutoML
  • Build Data Lakes and Data Warehouses on Google Cloud
  • Use DataFlow for Serverless Data Processing with Apache Beam
  • Understand the Google Cloud Platform Console
  • Create Virtual Machines with Google Compute Engines

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Course Description

Welcome to your one-stop shop for passing the Google Cloud Professional Data Engineer Certification Exam!

A FULL 50 QUESTION PRACTICE EXAM IS INCLUDED WITH THIS COURSE!

We've designed this course to be a complete resource for you to learn how to use Google Cloud to pass the Professional Data Engineer Certification Exam!

As you may have heard, Google Cloud is growing at a tremendous rate, with almost 50% YoY growth, and has a higher growth rate than overall cloud. Since Google has some of the most advanced data and machine learning offerings of any cloud provider, it makes sense to get skilled in this highly in-demand field today.

In this course we'll teach you how to make data-driven decisions by collecting, transforming, and publishing data. This certification preparatory course will show you how to use Google Cloud to design, build, and operationalize data systems that can run at the scale of Google.

In this course, we'll prepare you for the Google Cloud Professional Data Engineer Certification Exam by teaching you about the following:


  • Designing Data Processing Systems

    • Google Cloud Storage

    • Data Pipelines

    • BigQuery

    • DataFlow

    • Cloud Composer

  • Operationalize Data Systems

    • Cloud BigTable

    • Cloud SQL

    • Data Cleaning and Transformation

    • Data Monitoring

  • Machine Learning DevOps

    • Google Cloud ML APIs

    • Deploying ML Pipelines

    • Infrastructure Decisions

  • Data Solutions Quality

    • Data Security and Access

    • Test Suites and Troubleshooting

    • Verification and Monitoring

    • Data Portability

  • And much more!

While this course is specifically designed to help you pass the Google Cloud Professional Data Engineer Certification Exam, we believe anyone that is interested in using Google Cloud to create development operations for the latest data products will benefit massively from taking this course.

Also, not only do you get great technical content with this course, but you'll also get access to our in course Question and Answer Forums and our Discord Student Chat Channel.

You can try the course risk free with a 30-day money back guarantee!

Enroll today and we'll see you inside the course!

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Instructor Details

Jose Portilla

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.

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Reviews

4.4

781 ratings on Udemy

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By Chandan Singh on 9/7/2026

The practice scenarios and explanations are spot-on, clear, and extremely effective for exam preparation. Exceeded my expectations!"

By Tanisha Bhattacharyya on 6/9/2025

I loved the way things were neatly and simply explained as well as presented.

By Carolina Scalzo on 3/16/2025

Useful content for a general overview. Took the exam today and the course content was too shallow. Newer services have appeared since this was last updated and are not covered at all but this guide.

By RANJAN BISWAS on 9/29/2024

Excellent course -- The instructor starts from basics and elevate your level to advance using simple an easy explanation

By Sebastien Dupre on 3/29/2024

Excellent course. Very well organized and concise. I love that it explains how the gcp services came about and what technology is behind. Makes it much easier to actually understand the services. I wish this was updated to 2024. Most of what is in there is still valid and relevant for the exam. Does not cover Dataplex, anlystics hub, etc.

By Bojan Karaica on 3/26/2024

Very well organized and explained. Good explanations for any level of knowledge

By Natcha Likitrungsan on 3/13/2024

This course is an overview of GCP service for a data solution, it's just a basic information. - The instructor just reads the information from course material. - Should have more examples - Good demo - Very good practice exam

By Anonymized User on 11/24/2023

Very high level explanations, all the course the author stated very easy ML/AI questions are provided in the real exam, so he didn't explain them thoroughly, but the practice test is full of ML/AI questions. Disappointed.

By Parthipan Ganesan on 9/22/2023

Exceptional. Strongly recommended. Thanks to the instructor for his time and effort in putting together this course, along with many other ML/DL courses.

By Gene Landriau on 5/6/2023

Material covered is outside my area of knowledge, but was explained very intuitively and was therefore easy to grasp. So far, I'm very happy with the course even though I haven't taken the recommended Associate Data Engineer course

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Overall Score : 88 / 100