This workshop is designed to help IT professionals prepare for the Google Cloud Certified – Professional Data Engineer exam.

In this workshop, we review the exam guidelines and product strategies for the major Cloud Storage, big data, and analytics services covered by the exam. We examine concepts related to data transformation, real-time processing, visualization, machine learning, and best practices to solve common problems.

This workshop assumes prior knowledge of Google Cloud and is not an introduction to Google Cloud. To see the full Google Cloud curriculum, click here.

Learning objectives

• Prepare for the Google Cloud Professional Data Engineer certification exam
• Choose the appropriate Google Cloud data storage solution
• Store binary, relational, and NoSQL data using Google Cloud services
• Secure data using IAM and encryption
• Architect batch and streaming data processing pipelines on Google Cloud
• Leverage Google Cloud tools for data manipulation, analysis, and visualization
• Build machine learning models with Google Cloud tools

This workshop includes instructor lectures, group activities, case study discussions, practice exams, and links to recommended study, videos, and tutorials. Homework assignments are also included to help students further prepare for the exam.

Who should attend

IT professionals interested in obtaining the Google Certified Professional Data Engineer certification. Data scientists and machine learning practitioners who want to learn more about taking optimal advantage of the big data services provided by Google Cloud will also benefit from this course.

Prerequisites

Prior to taking the Google Cloud Data Engineer Professional exam, students should have prior experience working with Google Cloud big data services. The exam tests one’s understanding of architecting secure and reliable business solutions that leverage Google Cloud for storing, analyzing, and visualizing data. We strongly recommend taking the Data Engineering on Google Cloud course prior to attending this workshop.

Practice quizzes and case study examples

Included with this course are sample quizzes and numerous case study examples that will help you both prepare for the exam, and have a greater level of understanding of how to build data analytics and machine learning systems on Google Cloud.