GCP Professional Data Engineer (PDE) Exam Prep

This course prepares your for the Google Cloud Platform Professional Data Engineer (PDE) certification exam. A foundational understanding in Google Cloud Platform is required and can be obtained by reviewing the Google Cloud Associate Cloud Engineer (ACE) course materials, included in the cost of this course.




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What You’ll Learn

  • Understand what is on the GCP Professional Data Engineer Certification Exam
  • Learn about the variety of storage options on Google Cloud
  • Get an overview of big data technologies, such as Hadoop and Spark
  • Discover the full power of BigQuery on GCP
  • Understand how to use Dataproc for big data cluster jobs
  • Use Cloud Data Fusion for easy drag and drop data pipeline creation
  • Learn about Cloud Composer to leverage Apache Airflow as a managed service on GCP
  • Discover the power of Cloud Dataflow as a managed Apache Beam service
  • Understand Pub/Sub for Kafka based messaging microservices
  • Learn about Dataprep to prepare data for your data pipelines
  • Get prepared for the GCP Professional Data Engineer Exam
  • Full-length PDE Practice Exam and the entry-level GCP Associate Cloud Engineer course included!

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Course Content

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 data engineering on one of the leading cloud platforms today.

What is a GCP Professional Data Engineer?

Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

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. A foundational understanding of Google Cloud is highly recommended, so we’ve included the Associate Cloud Engineer training materials in the cost of this course.

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




  • Google Cloud Platform Overview
  • GCP Storage
    • Cloud Storage
    • Cloud SQL
    • Cloud Spanner
    • Cloud Bigtable
    • Firestore
    • Memorystore
  • BigQuery
  • Dataproc
  • Cloud Data Fusion
  • Cloud Composer
  • Cloud Dataflow
  • Pub/Sub
  • Data Studio
  • Dataprep
  • Machine Learning Overview
  • Vertex AI and ML Platform
  • Certification Exam Prep Tips
  • GCP Professional Data Engineer Certification Practice Exam




Anyone who wants to pass the GCP Professional Data Engineer Certification Exam or interested in how to leverage the power of Google Cloud Platform to create robust data engineering pipelines. Cloud data practitioners interested in migrating to GCP will also find this course useful. If you have no GCP experience, we recommend learning about GCP basics through our GCP Associate Cloud Engineer course first, which we’ve included in the cost of your course!




Course Description

This course is designed to prepare you to pass the GCP Professional Data Engineer Exam. Discover how to operationalize data engineering pipelines and data microservices on the Google Cloud Platform.




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