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Google Cloud Professional DevOps Engineer

1 Course
0.5 Hours
Practice exam

This learning path prepares cloud professionals to earn the Google Cloud Professional DevOps Engineer certification by building deep, hands-on knowledge across CI/CD, observability, performance optimization, and site reliability practices on Google Cloud.

Whether you're an SRE, developer, or operations engineer, this path offers targeted training to help you demonstrate advanced DevOps expertise and operational excellence in cloud-native environments.

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Certification path

Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.

What You'll Learn
  • 1. Design and implement CI/CD pipelines using tools like Cloud Build, Cloud Deploy, and Artifact Registry.
  • 2. Apply Google Cloud's observability tooling—including Cloud Monitoring and Logging—to manage service performance and troubleshoot issues.
  • 3. Master SRE-aligned practices such as SLIs, SLOs, and error budgets to ensure reliability at scale.
Prerequisites
  • This path is designed for learners who already have hands-on experience with Google Cloud Platform. Candidates should be comfortable working in production cloud environments, have experience writing or reading infrastructure-as-code, and be familiar with concepts like deployment pipelines, service monitoring, and incident response.
  • While not mandatory, experience as a DevOps engineer, site reliability engineer (SRE), or cloud-native developer will make the learning path more intuitive. This content assumes technical fluency and will not cover foundational cloud concepts. Learners new to Google Cloud or DevOps practices should consider foundational content or certifications such as the Google Cloud Associate Cloud Engineer before attempting this path.
Related topics
  • DevOps
  • SRE
  • Google Cloud
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Deepak Goyal
Deepak Goyal
Deepak Goyal is a renowned technology expert and educator with around two decades of experience in cloud computing, data engineering, AI, and enterprise data architecture. As the founder of AzureLib Academy, he has taught over 150,000 professionals across the globe, making him one of the most followed voices in the data engineering space. Deepak’s expertise spans across the multiple technologies. His deep industry insights, practical teaching style, and real-world project-based training have mad...

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