Certification details

A Professional Data Engineer enables 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.

The Professional Data Engineer exam assesses your ability to:

  • Design data processing systems
  • Build and operationalize data processing systems
  • Operationalize machine learning models
  • Ensure solution quality

Step 1 - Sit the following two courses:

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1 Day Virtual Classroom

Google Cloud Big Data and Machine Learning Fundamentals

GCPFBDML

This course introduces the fundamentals of Google Cloud's big data and machine learning solutions. It focuses on the data-to-AI lifecycle, showcasing how to use Google Cloud's infrastructure …

From £1,100 ex VAT
4 Days Virtual Classroom

Data Engineering on Google Cloud

GCPDEGP

This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, de…

From £3,735 ex VAT

Step 2 - Sit the following exam preparation course:

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1 Day Virtual Classroom

Preparing for the Professional Data Engineer Examination

GCPPDEE

This full-day instructor-led course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examinatio…

From £1,100 ex VAT

Step 3 - Take the following exam:

More information on the exam can be found here.

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Professional Data Engineer exam

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