Google Cloud Professional Data Engineer: Get Certified 2022

Build scalable, reliable data pipelines, databases, and machine learning applications.

4.46 (4008 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

How to pass the Google Cloud Professional Data Engineer Exam

Build scalable, reliable data pipelines

Choose appropriate storage systems, including relational, NoSQL and analytical databases

Apply multiple types of machine learning techniques to different use cases

Deploy machine learning models in production

Monitor data pipelines and machine learning models

Design scalable, resilient distributed data intensive applications

Migrate data warehouse from on-premises to Google Cloud

Evaluate and improve the quality of machine learning models

Grasp fundamental concepts in machine learning, such as backpropagation, feature engineering, overfitting and underfitting.

Why take this course?

The need for data engineers is constantly growing and certified data engineers are some of the top paid certified professionals. Data engineers have a wide range of skills including the ability to design systems to ingest large volumes of data, store data cost-effectively, and efficiently process and analyze data with tools ranging from reporting and visualization to machine learning. Earning a Google Cloud Professional Data Engineer certification demonstrates you have the knowledge and skills to build, tune, and monitor high performance data engineering systems.

This course is designed and developed by the author of the official Google Cloud Professional Data Engineer exam guide and a data architect with over 20 years of experience in databases, data architecture, and machine learning. This course combines lectures with quizzes and hands-on practical sessions to ensure you understand how to ingest data, create a data processing pipelines in Cloud Dataflow, deploy relational databases, design highly performant Bigtable, BigQuery, and Cloud Spanner databases, query Firestore databases, and create a Spark and Hadoop cluster using Cloud Dataproc.

The final portion of the course is dedicated to the most challenging part of the exam: machine learning. If you are not familiar with concepts like backpropagation, stochastic gradient descent, overfitting, underfitting, and feature engineering then you are not ready to take the exam. Fortunately, this course is designed for you. In this course we start from the beginning with machine learning, introducing basic concepts, like the difference between supervised and unsupervised learning. We’ll build on the basics to understand how to design, train, and evaluate machine learning models. In the process, we’ll explain essential concepts you will need to understand to pass the Professional Data Engineer exam. We'll also review Google Cloud machine learning services and infrastructure, such as BigQuery ML and tensor processing units.

The course includes a 50 question practice exam that will test your knowledge of data engineering concepts and help you identify areas you may need to study more.

By the end of this course, you will be ready to use Google Cloud Data Engineering services to design, deploy and monitor data pipelines, deploy advanced database systems, build data analysis platforms, and support production machine learning environments.

ARE YOU READY TO PASS THE EXAM? Join me and I'll show you how!

Reviews

Kristiaan

October 5, 2023

I Like Dan's calm and clear voice explaining each subject in detail. This will help me a lot to take the certification exam.

Rui

August 31, 2023

content need to be updated. also explanations are wishy washy and poorly thought through. you sometimes wonder if the author understands the material well enough to teach it.

Pradip

August 26, 2023

Very simple, elegant way to explain, point to point. No big statements in which you may get lost. Easy to grasp & recall. Only one suggestion would to have a consolidated PDF file to download so that it can serve as a quick reference guide before exam.

Parvinder

August 19, 2023

The course is compact precise and delivers the contents in a structured and logical manner and the key concepts are quickly understandable.

Helder

August 1, 2023

I liked the course and I think the instructor did a good job. In some parts I think is needed some update specifically the Google Cloud interface, because as of July / August 2023, the interface is different in some services. It is not that major but it does not help sometimes.

Josias

June 26, 2023

To be honest, the title should be "Data Engineer a Brief Overview to Get Certified". There's no way you get to this level of content and then give it a try on the exam, it barely mentions the service's caveats, limitations, and at least some of the most advanced/used configurations. I won't be inelegant to share better free sources, and others paid from Udemy, but if you're looking for something else than a broad general overview of the services and topics covered on the exam, don't get this training.

Shreeyash

June 17, 2023

The instructor did not provide the link to the slides that he is presenting, well this was not what was expected of the course.

Volodymyr

June 10, 2023

A lot of exam topics are not covered by course so the course is not enough to pass the exam. However it is good starter, helps to understand gaps and recap subject a bit if you are not using some GCP services regularly.

Andrew

May 31, 2023

probably not the only course you'll want to review but its a comprehensive overview and has the practice exam.

Alok

April 24, 2023

I have finished my Data Engineering certificate. It was a helpful course that covered various data engineering topics and prepared me well for certification. It's a great resource to refer back to for future reference.

Kyunglok

April 4, 2023

Good course to save time in preparation of the PDE exam. I'd recommend this to those who already have prior experience with GCP.

Madhurima

March 25, 2023

Really good course. I wrote and passed the GCP ACE in March 2023 and this course was very helpful in getting the basics right

Jon

March 18, 2023

This seems to be reading the slides with minimal thought about presentation or providing additional details to the student. I'm a little disappointed, frankly. It appears to serve as an introduction to the main features of Google Cloud but with little additional depth. For example, new terminology is simply repeated and the author doesn't even bother to briefly explain the meaning. This hasn't gotten better as I progress through the course.

Anurag

March 13, 2023

Content is great but the course needs to be updated as the intent of taking the course is to clear the DE exam. eg. The bigquery now supports clustering without partitioning the table although that's not the optimal solution.

Venkata

July 11, 2022

it's like the instructor is reading a script throughout the video. He is not explaining anything in detail, all his lectures are boring and this course is not recommended at all

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