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 one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an…

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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