Google Cloud Professional DevOps Engineer Course Overview

The Google Cloud Professional Cloud DevOps Engineer Certificationcourse prepares IT professionals to implement DevOps principles throughout the software development lifecycle using Google Cloud. 

Participants learn how to build automated CI/CD pipelines, manage infrastructure using Infrastructure as Code (IaC), implement observability and monitoring, improve application reliability using Site Reliability Engineering (SRE) practices, automate deployments, manage incidents, optimize cloud operations, and secure cloud-native applications. 

The course combines instructor-led sessions, hands-on labs, real-world DevOps scenarios, production use cases, and certification-focused exercises aligned with the latest Google Cloud Professional Cloud DevOps Engineer certification objectives. 

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

  • Apply DevOps principles to automate software delivery on Google Cloud.
  • Design and implement CI/CD pipelines using Google Cloud developer tools.
  • Manage infrastructure using Infrastructure as Code (Terraform).
  • Build and deploy containerized applications using Google Kubernetes Engine (GKE) and Cloud Run.
  • Implement continuous monitoring, logging, and observability using Cloud Operations Suite.
  • Configure alerting, dashboards, and incident response strategies.
  • Apply Site Reliability Engineering (SRE) principles, including SLIs, SLOs, and error budgets.
  • Improve deployment reliability using blue-green, canary, and rolling deployment strategies.
  • Implement secure DevSecOps practices throughout the software delivery lifecycle.
  • Optimize cloud performance, scalability, and operational costs.
  • Troubleshoot production workloads and automate operational tasks.
  • Prepare confidently for the Google Cloud Professional Cloud DevOps Engineer certification exam.

Upcoming Batches

Loading Dates...

Google Cloud Professional DevOps Engineer Certification Key Features

  • DevOps Fundamentals 

  • Continuous Integration & Deployment 

  • Infrastructure Automation 

  • Kubernetes & Containers 

  • Site Reliability Engineering (SRE) 

  • Monitoring & Observability 

  • Security & DevSecOps 

  • Incident Management 

  • Certification Preparation 

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

  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • Cloud Engineers
  • Cloud Administrators
  • Cloud Architects
  • Infrastructure Engineers
  • Platform Engineers
  • Automation Engineers
  • Software Engineers
  • Release Engineers
  • Build and Deployment Engineers
  • System Administrators
  • IT Operations Engineers
  • Professionals preparing for the Google Cloud Professional Cloud DevOps Engineer certification

Prerequisites for the course

Prior knowledge gained through the following courses will be beneficial:  

Google Cloud Professional DevOps Engineer Course Outline Download Course Outline

Lecture Content

  • Introduction to Google Cloud Observability
  • Observability Principles and Concepts
  • Monitoring, Logging, and Tracing Overview
  • Google Cloud Operations Suite Overview
  • Key Components of Cloud Observability
  • Benefits of Observability in Cloud Environments
  • Use Cases for Monitoring and Troubleshooting
  • Overview of Observability Services in Google Cloud

Activities

  • 1 Quiz

Lecture Content

  • Monitoring Compute, Storage, and Network Resources
  • Introduction to Cloud Monitoring
  • Metrics and Resource Monitoring Concepts
  • Creating Alerting Policies
  • Uptime Checks
  • Building Dashboards
  • Threshold-Based Alerts
  • Incident Notifications and Alerting Best Practices

Activities

  • 1 Quiz

Lecture Content

  • Introduction to Cloud Logging
  • Log Entries and Log Structure
  • Working with Log Explorer
  • Log Buckets Overview
  • Log Routing Concepts
  • Log Exclusions
  • Retention Policies
  • Logging Best Practices
  • Centralized Logging Architecture

Hands-)n

  • 1 Quiz

Lecture Content

  • Exporting Logs to BigQuery
  • Log Analytics Concepts
  • Querying Logs in BigQuery
  • Creating Log-Based Metrics
  • Monitoring Custom Metrics
  • Building Insights from Logs
  • Correlating Logs with Monitoring
  • Advanced Troubleshooting Techniques

Activities

  • 1 Quiz

Lecture Content

  • Introduction to Cloud Audit Logs
  • Types of Audit Logs
  • Admin Activity Logs
  • Data Access Logs
  • System Event Logs
  • Policy Denied Logs
  • Audit Logging Use Cases
  • Enabling and Managing Audit Logs
  • Security and Compliance Monitoring

Activities

  • 1 Quiz

Lecture Content

  • Installing and Configuring Ops Agent
  • Monitoring Virtual Machines
  • GKE Monitoring Overview
  • Prometheus and PromQL Basics
  • OpenTelemetry Concepts
  • Collecting Metrics and Logs from Applications
  • Instrumenting Services for Observability
  • Best Practices for Service Monitoring

Activities

  • 1 Quiz

Lecture Content

  • Network Monitoring in Google Cloud
  • VPC Flow Logs Overview
  • Collecting and Analyzing Network Traffic Logs
  • Network Performance Monitoring
  • Introduction to Network Intelligence Center
  • Connectivity Tests
  • Network Topology Visualization
  • Network Troubleshooting Use Cases

Activities

  • 1 Quiz

Lecture Content

  • Introduction to Application Performance Monitoring (APM)
  • Cloud Trace Overview
  • Distributed Tracing Concepts
  • Cloud Profiler Overview
  • CPU and Memory Profiling
  • Error Reporting in Google Cloud
  • Root Cause Analysis
  • Performance Bottleneck Investigation
  • Best Practices for Application Troubleshooting

Activities

  • 1 Quiz

Lecture Content

  • Cost Monitoring in Google Cloud
  • Billing and Cost Analysis Tools
  • Resource Usage Optimization
  • Identifying Cost Drivers
  • Monitoring Idle Resources
  • Cost Control Best Practices
  • Budget Alerts and Recommendations
  • Operational Cost Optimization Strategies

Activities

  • 1 Quiz

Lecture Content

  • Core overview of cloud-native architecture patterns
  • Evolution of legacy infrastructure into elastic cloud environments
  • Introduction to the case studies and architecture review frameworks

Lab Content

  • NA

Lecture Content

  • Differentiating between business metrics and technical system targets
  • Engineering Key Performance Indicators (KPIs) for cloud software
  • Designing Service Level Indicators (SLIs) and quantifiable Service Level Objectives (SLOs)
  • Calculating and managing Error Budgets across system release cycles

Lab Content

  • Lab: Defining and Monitoring Performance Indicators and Service Level Objectives

Lecture Content

  • Domain-Driven Design (DDD) principles: Finding subdomains and context boundaries
  • Monolithic breakdown strategies and microservice isolation patterns
  • Decoupling application communications: Synchronous REST/gRPC vs. Asynchronous Pub/Sub
  • Deployment service mapping: Google Kubernetes Engine (GKE), Cloud Run, and Compute Engine

Lab Content

  • Lab: Deconstructing a Monolith into Microservices on GKE and Cloud Run

Lecture Content

  • Principles of Continuous Integration and Continuous Deployment (CI/CD) for microservices
  • Infrastructure as Code (IaC) architectures leveraging Terraform templates
  • Managing multi-environment release branches (Development, Staging, Production)
  • Automating code delivery using Cloud Build, Artifact Registry, and Cloud Deploy

Lab Content

  • Lab: Automating Multi-Environment Microservice Deployments with Cloud Build

Lecture Content

  • Storage tier classifications: Object, Block, Relational, and Non-Relational (NoSQL)
  • Evaluating trade-offs between Cloud Storage, Cloud SQL, Cloud Spanner, and Firestore
  • Understanding database parameters: ACID compliance vs. BASE models and global scaling
  • Caching strategies using Memorystore to accelerate application read request paths

Lab C Lab: Orchestrating Polyglot Persistence Layers for Microservice Applications ontent

Lecture Content

  • Enterprise-grade Virtual Private Cloud (VPC) design and global routing structures
  • Connecting disparate networks: VPC Network Peering, Shared VPC, and Hybrid Networking
  • Hybrid cloud patterns: High Availability Cloud VPN vs. Dedicated Cloud Interconnect
  • Traffic optimization using Cloud DNS routing policies and global Content Delivery Networks (CDN)

Lab Content

  • Lab: Configuring Global Shared VPCs and Hybrid HA VPN Cross-Connections

Lecture Content

  • Structural engineering patterns for High Availability (HA) and Disaster Recovery (DR)
  • Configuring Managed Instance Groups (MIGs), health checks, and cross-region load balancers
  • Autoscaling triggers, scaling policies, and stateful vs. stateless server patterns
  • Mitigating failures using circuit breakers, retries with exponential backoff, and graceful degradation

Lab Content

  • Engineering Resilient Infrastructure with Global Load Balancing and Autoscaling

Lecture Content

  • Implementing Zero-Trust security postures using Identity-Aware Proxy (IAP)
  • IAM best practices: Fine-grained permissions, custom roles, and service account keys
  • Perimeter security management: Cloud Armor policies for Layer 7 WAF and DDoS mitigation
  • Compliance tracking, enterprise resource organization governance, and Cloud KMS encryption keys

Lab Content

  • Lab: Hardening Microservice Architectures with Cloud Armor, IAP, and Strict IAM

Lecture Content

  • Release management paradigms: Blue-Green deployments, Canary rollouts, and automatic rollbacks
  • Continuous cost monitoring, cloud usage forecasting, and pricing optimizations
  • Deep-dive full-stack monitoring: Cloud Logging, Cloud Monitoring, Trace, Profiler, and Error Reporting
  • Configuring synthetic uptime checks, tracking system health trends, and threshold alerting rules

Lab Content

  • Lab: Setting Up Full-Stack Cloud Monitoring, Trace Diagnostics, and Uptime Alerting

Select Course date

Loading Dates...
Add to Wishlist

Course ID: 13601

Course Price at

Loading price info...
Enroll Now

This course is designed for DevOps engineers, Site Reliability Engineers (SREs), cloud engineers, platform engineers, software developers, cloud administrators, infrastructure engineers, and professionals preparing for the Google Cloud Professional Cloud DevOps Engineer certification.

Participants should have a basic understanding of cloud computing, Linux administration, networking, software development, and CI/CD concepts. Prior experience with Google Cloud is beneficial but not mandatory.

No. However, familiarity with Google Cloud services or another cloud platform (AWS or Azure) will help participants understand the concepts more effectively.

Yes. The curriculum is aligned with Google's Professional Cloud DevOps Engineer certification objectives and includes hands-on labs, production scenarios, and certification-focused discussions.

Yes. The course includes practical labs covering CI/CD pipelines, Cloud Build, Artifact Registry, Terraform, Kubernetes, Cloud Monitoring, Cloud Logging, Cloud Deploy, and deployment automation.

You will learn to automate deployments, build CI/CD pipelines, implement Infrastructure as Code, manage Kubernetes workloads, monitor production systems, improve application reliability, and apply DevSecOps and SRE best practices.

The course covers Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, Cloud Build, Cloud Deploy, Artifact Registry, Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler, Cloud Storage, Secret Manager, IAM, Cloud Operations Suite, Pub/Sub, Cloud Source Repositories, and Terraform.

This is a professional-level course. Learners should have foundational cloud knowledge and basic software development or system administration experience.

Yes. Participants will receive a Course Completion Certificate after successfully completing the training.

The course is available as: Instructor-Led Classroom Training (ILT) Virtual Instructor-Led Training (VILT) Corporate On-site Training Customized Enterprise Training Programs

This course prepares you for one of Google's most respected professional certifications, helping you qualify for roles such as DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, Platform Engineer, Cloud Consultant, and Infrastructure Automation Engineer.

The course covers Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC), GitOps principles, Site Reliability Engineering (SRE), observability, monitoring, incident response, deployment automation, DevSecOps, cloud operations, cost optimization, and operational excellence on Google Cloud.

Enquire Now