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Google Cloud DevSecOps Engineer

Last Updated: 08-03-2025

The Google Cloud DevSecOps Engineer course is designed for IT professionals, security specialists, and DevOps engineers who want to integrate security into their DevOps processes on Google Cloud Platform (GCP). This hands-on course will teach you how to automate security practices, implement continuous security monitoring, and ensure secure deployment pipelines using Google Cloud’s tools and services. You will learn how to apply security best practices to all phases of the DevOps lifecycle, from code development to production, while leveraging Google Cloud security tools like Cloud Identity & Access Management (IAM), Cloud Security Command Center, Cloud Armor, and more. By the end of this course, you’ll be equipped to build secure, automated workflows that integrate security seamlessly into cloud-native applications.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
December 22nd - 26th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
Guaranteed-to-Run
10% Off
$1,600
$1,440
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January 03rd - 17th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
January 05th - 09th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
January 12th - 16th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
January 19th - 30th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
20% Off
$1,600
$1,280
January 26th - 30th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 40 Hours)
Guaranteed-to-Run
20% Off
$1,600
$1,280

Course Prerequisites

  • Basic knowledge of Google Cloud Platform (GCP) and key services like Compute Engine, Cloud Storage, and VPC.
  • Familiarity with DevOps concepts such as continuous integration (CI), continuous delivery (CD), and version control.
  • Experience with infrastructure as code (IaC) tools like Terraform or Google Cloud Deployment Manager.
  • Basic understanding of cloud security concepts, including IAM, encryption, and network security.
  • Experience with scripting or automation tools (e.g., Bash, Python, Cloud Build, or similar) is beneficial.

Learning Objectives

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

  1. Understand the core principles of DevSecOps and how they apply to Google Cloud environments.
  2. Implement security controls at every stage of the DevOps pipeline, from code development and build automation to deployment and monitoring.
  3. Use Google Cloud Identity & Access Management (IAM) to manage access control and ensure least-privilege access in cloud applications.
  4. Secure and automate infrastructure deployment using Infrastructure as Code (IaC) with Terraform and Google Cloud Deployment Manager.
  5. Integrate security testing into CI/CD pipelines with Cloud Build, ensuring that security vulnerabilities are identified early in the development process.
  6. Automate security monitoring with Google Cloud Security Command Center to detect and mitigate threats in real time.
  7. Protect applications and services with Cloud Armor, Cloud Identity-Aware Proxy (IAP), and Google Web Security tools.
  8. Ensure secure communication between microservices using Google Cloud Service Mesh and Istio.
  9. Leverage Google Kubernetes Engine (GKE) to secure containerized applications and ensure proper security configurations.
  10. Build secure CI/CD pipelines that automatically enforce security policies and integrate security testing using Google Cloud Build and other DevOps tools.
  11. Understand compliance and regulatory requirements for cloud security, and apply best practices to maintain secure cloud environments.
  12. Prepare for Google Cloud certifications such as Professional Cloud Security Engineer and Professional Cloud DevOps Engineer, enhancing your credentials in the DevSecOps field.

Target Audience

This course is ideal for:

  • DevOps engineers looking to integrate security into their DevOps workflows on Google Cloud.
  • Security professionals who want to transition into DevSecOps and learn how to apply security principles in a cloud environment.
  • Cloud architects and solution architects who need to design and implement secure cloud infrastructures on Google Cloud.
  • Software developers looking to build secure applications by integrating security into the CI/CD pipeline.
  • System administrators and network engineers who want to enhance their knowledge of cloud security in the context of automated DevOps practices.

Course Modules

  • Introduction to DevSecOps

    • Understanding DevOps and security principles.
    • The importance of integrating security into the CI/CD pipeline (DevSecOps).
    • Overview of Google Cloud’s DevSecOps tools and practices.
  • Securing the CI/CD Pipeline

    • Implementing security best practices in continuous integration and delivery pipelines.
    • Automating vulnerability scans, code analysis, and deployment validations.
    • Using Cloud Build and Cloud Source Repositories to manage secure code deployments.
  • Infrastructure as Code (IaC) Security

    • Implementing infrastructure security with Terraform and Google Cloud Deployment Manager.
    • Managing secure cloud resources via configuration files.
    • Validating infrastructure configurations for security vulnerabilities.
  • Container and Kubernetes Security

    • Managing security in Google Kubernetes Engine (GKE).
    • Securing containerized applications and services.
    • Integrating Google Cloud’s Security Command Center with Kubernetes and container-based workloads.
  • Compliance and Monitoring

    • Implementing security compliance frameworks (SOC 2, GDPR, PCI DSS, etc.).
    • Using Google Cloud tools like Cloud Security Command Center for monitoring and auditing.
    • Implementing real-time threat detection and security monitoring across all environments.
  • Incident Management and Response

    • Building secure and resilient systems for continuous monitoring and incident detection.
    • Automated remediation and recovery strategies for security incidents.
    • Securing logs and monitoring systems for compliance.

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