Google Cloud

Your certification
preparation journey

Validate your cloud expertise and elevate your career

Google Cloud and Pluralsight have partnered to help you prepare for certification

With Pluralsight, you get access to:
  • Google Cloud-authored channels aligned to certifications
  • Qwiklabs integration available with each course so you can get hands-on practice
  • Skill IQ to help you measure your current cloud proficiency and get recommendations on where to start learning and how to improve
  • Exam guides to help you study
  • Practice exams to make sure you're ready for exam day

Get started

You’re working towards your Google Cloud certification—hooray! To help you reach your goals, we’re offering one month free of Google Cloud-authored content on Pluralsight, the technology skills platform (Offer valid until June 30, 2020. New users only).

  • How to start
  • Why Pluralsight
Cloud engineer
Associate Cloud Engineer certification

An Associate Cloud Engineer has experience deploying applications, monitoring operations of multiple projects and maintaining enterprise solutions to ensure they meet target performance metrics.

You'll be skilling up on:
 
  • Google Cloud Core Infrastructure Fundamentals
  • Build and Deploy Solutions: Essential Cloud Infrastructure: Core Services
  • Elastic Cloud Infrastructure: Scaling and Automation
  • And more

Cloud architect
Professional Cloud Architect certification

A Professional Cloud Architect enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, you’ll design, develop and manage robust, secure, scalable, highly available and dynamic solutions to drive business objectives.

You'll be skilling up on:
 
  • Google Cloud Platform Core Infrastructure Fundamentals
  • Architecting Workloads with Google Kubernetes Engine
  • Scaling and Automation
  • And more

Data engineer
Professional Data Engineer certification

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.

You'll be skilling up on:
 
  • Google Cloud Platform Big Data and Machine Learning Fundamentals
  • Building Batch Data Pipelines on Google Cloud Platform
  • Smart Analytics, Machine Learning and AI on Google Cloud Platform
  • Creating New BigQuery Datasets and Visualizing Insights
  • And more

The technology skills platform

At Pluralsight, we believe everyone should have the opportunity to create progress through technology and develop the skills of tomorrow. With assessments, paths, hands-on labs and courses authored by Google Cloud, our platform helps individuals benchmark expertise across roles, speed up release cycles and build reliable, secure products.

Take control of your career. With our technology skills platform, you can see where your skills stand, master Google Cloud, show off your expertise and prepare for your certifications.

resources

Discover more about Pluralsight

Building cloud skills at scale with Pluralsight and Google Cloud
See how Karoline used spare time during maternity leave to skill up
Measure your tech skills and see how proficient you are in your role with Skill IQ and Role IQ