Google Cloud Professional Data Engineer Certification Course

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

What you’ll 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

Requirements

Google Cloud Account (to follow along with demo labs and assignments)
Some Basic Google Cloud Platform experience

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 the 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 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!