Google Cloud Professional DevOps Engineer Course Overview

A Google Professional Cloud DevOps Engineer  is responsible for efficient development operations that can balance service reliability and delivery speed. They are skilled at using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.

After completing Google Cloud Professional DevOps Engineer Certification Training, students will be able to

  • Acquire knowledge on developing and deploying software delivery pipelines as well as managing and monitoring various CI/CD services.
  • Attain skills required to clear the Professional Cloud DevOps Engineer exam.

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Google Cloud Professional DevOps Engineer Certification Key Features

  • Our Google Certified DevOps Engineer training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • Industry certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL) along with Roadmaps.
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being an authorized GCP Learning Partner gives us the edge over competition.

Who should attend this Google Cloud Professional DevOps Engineer Certification Training?

  • A Cloud DevOps Engineer is responsible for efficient development operations that can balance service reliability and delivery speed.

Prerequisites for the course

  • This course requires candidates to take up Associate Cloud Engineer certification.

    Google Cloud Professional DevOps Engineer Course Outline Download Course Outline

    • Introducting Google Cloud
    • Resources and Access in the Cloud
    • Virtual Machines and Networks in the Cloud
    • Storage in the Cloud
    • Containers in the Cloud
    • Applications in the Cloud
    • Developing and Deploying in the Cloud
    • Logging and Monitoring in the Cloud

    Hands-On

    • Cloud Storage: Qwik Start - Cloud Console
    • Cloud Storage: Qwik Start - CLI/SDK
    • Cloud IAM: Qwik Start
    • Cloud Monitoring: Qwik Start
    • Cloud Functions: Qwik Start - Console
    • Cloud Functions: Qwik Start - Command Line
    • Google Cloud Pub/Sub: Qwik Start - Console
    • Google Cloud Pub/Sub: Qwik Start - Command Line
    • Google Cloud Pub/Sub: Qwik Start - Python

    • DevOps, SRE, and Why They Exist
    • SLOs with Consequences
    • Make Tomorrow Better than Today
    • Regulate Workload
    • Apply SRE in Your Organization

    • Defining Services
    • Microservice Design and Architecture
    • DevOps Automation
    • Choosing Storage Solutions
    • Google Cloud and Hybrid Network Architecture
    • Deploying Applications to Google Cloud
    • Designing Reliable Systems
    • Security
    • Maintenance and Monitoring

    Hands-)n

    • Cloud Source Repositories: Qwik Start
    • Managing Deployments Using Kubernetes Engine
    • Troubleshooting Workloads on GKE for Site Reliability Engineers
    • Continuous Delivery with Jenkins in Kubernetes Engine
    • Troubleshooting Workloads on GKE for Site Reliability Engineers
    • Identifying and Resolving Application Latency for Site Reliability Engineers
    • Debugging Applications for Site Reliability Engineers
    • Using Cloud Error Reporting to Remediate Workload Issues on GKE

    • Introduction to Monitoring in Google Cloud
    • Avoiding Customer Pain
    • Alerting Policies
    • Monitoring Critical Systems
    • Configuring Google Cloud Services for Observability
    • Advanced Logging and Analysis
    • Monitoring Network Security and Audit Logs
    • Managing Incidents
    • Investigating Application Performance Issues
    • Optimizing the Costs of Monitoring

    Hands-On

    • Cloud Monitoring: Qwik Start
    • Monitoring Multiple Projects with Cloud Monitoring
    • Monitoring and Logging for Cloud Functions
    • Reporting Application Metrics into Cloud Monitoring
    • Creating and Alerting on Logs-based Metrics
    • Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

    • Introduction to Terraform for Google Cloud
    • Terms and Concepts
    • Writing Infrastructure Code for Google Cloud
    • Organizing and Reusing Configuration with Terraform Modules
    • Introduction to Terraform State

    Hands-On

    • Terraform Fundamentals
    • Infrastructure as Code with Terraform
    • Interact with Terraform Modules
    • Managing Terraform State
    • Deploy Kubernetes Load Balancer Service with Terraform

    Certification

    • By earning GCP Cloud DevOps Engineer certification training, you can be competent Google Cloud certified professional.
    • Demonstrate abilities to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
    • On successful completion of Google Cloud Professional DevOps Engineer training, aspirants receive a Course Completion Certificate from us.
    • By successfully clearing the Google Cloud DevOps Engineer exam, aspirants earn Google Certification.

    Course Fee

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    Course ID: 13601

    Course Price at

    $1599 + 0% TAX
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