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  1. Programs
  3. Professional Cloud DevOps Engineer

Professional Cloud DevOps Engineer

Google Cloud

Certification

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

A Professional Cloud DevOps Engineer implements processes and capabilities throughout the systems development lifecycle using Google-recommended methodologies and tools. They enable efficient software and infrastructure delivery while balancing reliability with delivery speed. They optimize and maintain production systems and services for both performance and cost.

Cost

$200Show moreShow less

Format

Hybrid

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

Length: Two hours Registration fee: $200 (plus tax where applicable) Languages: English, Japanese Exam format: 50-60 multiple choice and multiple select questions Exam Delivery Method: a. Take the online-proctored exam from a remote location b. Take the onsite-proctored exam at a testing center - search for Google Cloud. Prerequisites: None Recommended experience: 3+ years of industry experience including 1+ years designing and managing production systems using Google Cloud Certification renewal: Candidates may renew their certification within the renewal eligibility period. For more information about the renewal process, eligibility period, and certification validity timeline, please refer to the Renewal FAQs below.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

No locations specified.

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

  • Implement processes and capabilities throughout the systems development lifecycle using Google-recommended methodologies and tools
  • Enable efficient software and infrastructure delivery while balancing reliability and delivery speed
  • Optimize and maintain production systems and services for performance and cost
  • Bootstrap and maintain a Google Cloud organization
  • Apply site reliability engineering practices in Google Cloud environments
  • Build and implement CI/CD pipelines including continuous testing for application, infrastructure, and machine learning workloads
Career Pathways

Occupations this program prepares you for

  • Computer Systems Engineers/Architects15-1299.08
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certification)

  • Client system requirements — analyze and translate into preliminary technical specifications with reduced oversight in a professional services environment.
  • Hardware and software component recommendations — evaluate suitability for defined purposes and present options to project stakeholders using structured comparison frameworks.
  • Secure system implementation guidelines — prepare and communicate tailored security configuration instructions to installation teams for mid-scale deployments.
  • Operating systems and network software — coordinate and execute installation or upgrade projects across multiple workstations or servers with minimal supervision.
  • System operation monitoring — apply monitoring tools to detect performance degradation or failure indicators and initiate standard corrective responses.
  • User need assessments — identify required system data, hardware, and software components by conducting structured needs-analysis sessions with end users.
  • Object-oriented or web platform development software — configure and adapt development environments to support application deployment on assigned systems.
  • Technical documentation — produce clear written procedures and configuration guides using document management software for internal or client audiences.
  • Routine hardware and software maintenance — plan and execute scheduled maintenance cycles including upgrades to minimize operational downtime.
  • Systems evaluation — apply analytical methods to assess existing infrastructure performance against defined benchmarks in familiar organizational contexts.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported