Professional Data Engineer

Learn how to use Google Cloud Platform to develop, construct, and run complex big data and machine learning applications.

32 hours 0 Enrolled No ratings yet Intermediate

About The Course

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

Course Objectives

  • Design a data processing system
  • Build and maintain data structures and databases
  • Analyze data and enable machine learning
  • Optimize data representations, data infrastructure performance, and cost
  • Ensure reliability of data processing infrastructure
  • Visualize data
  • Design secure data processing systems

Recommended Experience

3+ years of industry experience including 1+ years designing and managing solutions using GCP.

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What's included

  • 32 Hours Training Course
  • Certificate
  • 4 Module
  • 24/7 Support

Audience

  • Data professionals
  • Engineers who successfully work on building excellent data architectures using GCP
  • People preparing for the Google Professional Data Engineer examination
  • Jr. Data Engineers
  • Information Security Engineers
  • Data Analysts
  • System Engineers
  • Software Engineers
  • Cloud Data Engineers

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