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Professional Cloud DevOps Engineer Training

Live Online & Classroom Enterprise Training

Learners will gain experience with Google Cloud Observability, Terraform, CI/CD pipelines, Prometheus monitoring, and secure DevOps workflows, preparing them for real-world DevOps engineering responsibilities.

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What is Professional Cloud DevOps Engineer Training about?

This learning path is designed to help learners adopt DevOps and Site Reliability Engineering (SRE) practices on Google Cloud. It covers core cloud infrastructure, reliability design, monitoring & observability, automation (IaC), and secure DevOps workflows. Graduates will gain practical skills to manage deployment pipelines and maintain reliable, scalable systems.

What are the objectives of Professional Cloud DevOps Engineer Training ?

  • Understand the principles of DevOps and SRE culture and how they align development and operations.
  • Design highly reliable infrastructure on Google Cloud, using design patterns and best practices.
  • Monitor, log, and observe applications and infrastructure to improve system reliability and detect issues.
  • Use Infrastructure as Code (IaC) tools (e.g. Terraform) to automate provisioning and deployment.
  • Integrate security into DevOps workflows (DevSecOps) and build secure pipelines.

Who is Professional Cloud DevOps Engineer Training for?

  • Aspiring DevOps engineers or SRE professionals wanting to adopt cloud-native practices.
  • Cloud engineers seeking to specialize in reliability and operational excellence.
  • Platform engineers or site reliability candidates tasked with building resilient systems.
  • Developers or operations professionals wanting to own CI/CD, infrastructure, and observability.
  • Technical leaders and architects aiming to instill DevOps culture and processes in their organizations.

What are the prerequisites for Professional Cloud DevOps Engineer Training?

  • Basic familiarity with cloud computing and Google Cloud core services.
  • Understanding of software development workflows (e.g. version control, CI/CD concepts).
  • Experience or comfort using command line / shell tools.
  • Some exposure to infrastructure or operations practices (servers, networking).
  • Access to a Google Cloud account to perform labs and hands-on work.

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

70 Hours

Course Outline Expand All

Expand All

  • Navigate Google Cloud console and projects.
  • Manage IAM roles and permissions.
  • Explore APIs and resource hierarchy.
  • Practice initial lab exercises.
  • Core compute, storage, and networking services.
  • Resource and policy management.
  • Infrastructure use cases and service comparisons.
  • Hands-on labs for foundational services.
  • Align Dev and Ops with SRE principles.
  • Define SLIs, SLOs, and SLAs.
  • Manage error budgets and reliability trade-offs.
  • Implement incident management practices.
  • Resilience and fault-tolerance design patterns.
  • Multi-region and zonal strategies.
  • Deployment rollouts, rollback, and change management.
  • Hands-on design labs.
  • Full-stack monitoring techniques.
  • Real-time log analysis.
  • Debugging and troubleshooting strategies.
  • Case studies and lab exercises.
  • Use Cloud Trace, Profiler, and Error Reporting.
  • Distributed tracing for latency analysis.
  • Application performance monitoring.
  • Best practices for observability.
  • Terraform basics and configurations.
  • Provision and destroy cloud resources.
  • Manage state files (local/remote).
  • Reusable module structures.
  • Configure Cloud Storage, Pub/Sub, and BigQuery.
  • Build connected development environments.
  • Hands-on with CI/CD integration.
  • Badge for applied skills.
  • Manage repos with Cloud Source Repositories.
  • Architect CI/CD pipelines.
  • Deploy apps on GKE and Compute Engine.
  • Automate scaling and deployments.
  • Secure pipelines with Artifact Registry, Cloud Build.
  • Binary Authorization and Cloud Deploy.
  • Policy enforcement in CI/CD.
  • Best practices for DevSecOps.
  • Monitor Compute Engine VMs.
  • Multi-project monitoring with Cloud Monitoring.
  • Extend observability to Cloud Functions.
  • Build custom dashboards and alerts.
  • IaC principles with Terraform.
  • Provision resources with configurations.
  • Manage Terraform states effectively.
  • Modularize infrastructure deployments.
  • Kubernetes monitoring with Prometheus.
  • Metrics collection and analysis.
  • Dashboards for containerized environments.
  • Earn a skill badge on Prometheus monitoring
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Who is the instructor for this training?

The trainer for this Professional Cloud DevOps Engineer Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Professional Cloud DevOps Engineer Training - Certification & Exam

After completing this course, you can take the below certifications: Google Cloud Professional Cloud DevOps Engineer Certification

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