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Google Cloud DevOps Engineer

Last Updated: 08-03-2025

The Google Cloud DevOps Engineer course is designed for professionals looking to build expertise in implementing and managing DevOps practices using Google Cloud Platform (GCP). This hands-on training covers key concepts, tools, and services that enable you to automate, monitor, and optimize the deployment lifecycle of modern cloud applications. Learn how to leverage Google Kubernetes Engine (GKE), Cloud Build, Cloud Functions, and Cloud Operations Suite to enhance collaboration, speed up development cycles, and ensure continuous integration and delivery (CI/CD) in your cloud environment. This course will equip you with the skills needed to implement DevOps pipelines, automate infrastructure, and manage containerized applications on Google Cloud, helping you deliver high-quality software faster and more reliably.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
March 02nd - 06th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
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March 07th - 21st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
March 09th - 13th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
March 16th - 27th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
March 16th - 20th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
Guaranteed-to-Run
20% Off
$1,600
$1,280
March 22nd - 05th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
March 23rd - 27th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
Guaranteed-to-Run
20% Off
$1,600
$1,280
April 06th - 10th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
25% Off
$1,600
$1,200
April 11th - 25th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
25% Off
$1,600
$1,200
April 13th - 17th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
25% Off
$1,600
$1,200
April 20th - 01st
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
25% Off
$1,600
$1,200

Course Prerequisites

  • Basic understanding of Google Cloud Platform (GCP), including core services like Google Compute Engine, Google Cloud Storage, and Google Cloud Networking.
  • Familiarity with DevOps concepts such as continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and automation.
  • Experience with containerization (e.g., Docker) and Kubernetes (helpful but not required).
  • Basic knowledge of programming or scripting (e.g., Bash, Python, or Go) to automate processes and workflows.
  • Experience with cloud development and deployment tools like Git, Jenkins, or Terraform is beneficial but not mandatory.

Learning Objectives

By the end of the Google Cloud DevOps Engineer course, you will be able to:

  1. Understand the core services and architecture of Google Cloud Platform (GCP) and their relevance to DevOps practices.
  2. Implement and manage CI/CD pipelines using Google Cloud Build, Cloud Source Repositories, and Cloud Functions to automate code integration, testing, and deployment.
  3. Use Google Kubernetes Engine (GKE) to deploy, manage, and scale containerized applications with Kubernetes.
  4. Automate infrastructure provisioning and management with Google Cloud Deployment Manager, Terraform, and Google Cloud APIs.
  5. Set up automated testing and continuous delivery pipelines to ensure software quality and quick deployment cycles.
  6. Monitor and optimize application performance using Google Cloud Operations Suite (formerly Stackdriver), including logs, metrics, and traces for troubleshooting and debugging.
  7. Implement security practices in your DevOps pipelines, ensuring that your applications and infrastructure follow best practices for identity and access management (IAM) and network security.
  8. Leverage Google Cloud Pub/Sub for event-driven architectures and manage Cloud Functions for microservices-based application design.
  9. Use Google Cloud Storage, BigQuery, and Cloud Spanner to manage and analyze data in your DevOps environment.
  10. Implement site reliability engineering (SRE) principles to enhance the reliability, scalability, and performance of your applications on Google Cloud.
  11. Prepare for Google Cloud certifications, including the Professional Cloud DevOps Engineer certification, to validate your skills and boost your career.

Target Audience

This course is ideal for:

  • DevOps professionals who want to deepen their skills in Google Cloud and implement DevOps practices using GCP.
  • Cloud engineers looking to integrate Google Cloud services into their DevOps workflows.
  • Software engineers and developers who want to implement continuous integration and delivery (CI/CD) pipelines on Google Cloud.
  • IT professionals and system administrators who want to learn how to manage cloud-based infrastructure and optimize deployment pipelines in Google Cloud.
  • Operations teams and release managers looking to improve automation, scalability, and monitoring for cloud applications.

Course Modules

  • DevOps Culture and Practices

    • Understanding DevOps principles and practices
    • Building a DevOps culture within teams
    • Overview of DevOps tools and workflows

  • Continuous Integration and Delivery (CI/CD)

    • Setting up CI/CD pipelines using Cloud Build
    • Automating testing and deployment processes
    • Managing release cycles and versioning

  • Infrastructure as Code (IaC)

    • Implementing IaC with Cloud Deployment Manager
    • Managing infrastructure using Terraform
    • Automating resource provisioning and scaling

  • Monitoring and Logging

    • Using Stackdriver for monitoring applications
    • Setting up logging and tracing for performance analysis
    • Implementing alerting policies and dashboards

  • Security and Compliance

    • Integrating security into the DevOps pipeline (DevSecOps)
    • Managing secrets and sensitive data
    • Ensuring compliance with industry standards

  • Collaboration and Communication

    • Facilitating collaboration between development and operations teams
    • Using communication tools for incident management
    • Documenting processes and workflows

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What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024