Google Cloud Professional DevOps Engineer Certification Training

SKU: 3855
11 Lesson
|
30 Hours
igmGuru's Google Cloud Professional DevOps Engineer certification training builds job-ready skills in CI/CD, SRE practices, and cloud automation. In this training program, you will get hands-on labs, live mentorship, and exam-focused guidance to clear the Google Cloud DevOps Engineer certification and move into high-paying, in-demand cloud roles with confidence.

Google Cloud Professional DevOps Engineer Course Overview

DevOps has moved past being a buzzword - it's how modern engineering teams ship faster without breaking things. This course walks you through Google Cloud's DevOps toolset, from Cloud Build and Cloud Deploy to GKE and the Cloud Operations Suite, while grounding every concept in real SRE practices. By the end of the training, you're prepared for both the certification exam and the job itself.

Prerequisites

There's no strict prerequisites to join this course, but you'll get the most out of it if you already have some working exposure to cloud environments. Recommended background includes:

  • Basic understanding of Google Cloud Platform (GCP) services and console
  • Familiarity with Linux commands and shell scripting
  • Exposure to at least one programming or scripting language (Python, Go, or Bash)
  • Awareness of software development lifecycle (SDLC) concepts
  • Google recommends 3+ years of industry experience, including 1+ year managing production systems on Google Cloud, before attempting the actual certification exam

Course Objectives

  • Build a strong foundation in Google Cloud DevOps principles and the site reliability engineering (SRE) mindset
  • Learn to design and implement CI/CD pipelines using Cloud Build, Cloud Deploy, and Artifact Registry
  • Gain hands-on experience with containerization using Docker and orchestration using Google Kubernetes Engine (GKE)
  • Understand how to define SLIs, SLOs, and error budgets for reliable service delivery
  • Develop skills in monitoring, logging, and troubleshooting using Cloud Operations Suite
  • Prepare thoroughly for the Google Cloud Professional DevOps Engineer certification exam with mock tests and case studies
  • Learn cost optimization and performance tuning strategies for production workloads

What You Will Learn

  • Bootstrapping and securing a Google Cloud organization for DevOps workflows
  • Infrastructure as Code (IaC) using Terraform and Cloud Deployment Manager
  • Building automated, multi-stage CI/CD pipelines for applications and infrastructure
  • Managing container images and build artifacts with Artifact Registry
  • Deploying and scaling workloads on GKE, Cloud Run, and Compute Engine
  • Applying SRE principles - SLIs, SLOs, error budgets, and burn-rate alerting
  • Implementing observability using Cloud Monitoring, Cloud Logging, and Cloud Trace
  • Incident management, postmortems, and reducing operational toil through automation
  • Securing pipelines with IAM, Secret Manager, and Workload Identity Federation
  • Optimizing workload cost and performance using Spot VMs and committed-use discounts

Who is This Course For?

This training is built for professionals who want to strengthen their cloud automation and reliability skills on Google Cloud.

  • DevOps Engineers and Site Reliability Engineers moving to Google Cloud
  • Cloud Engineers and System Administrators aiming for a DevOps specialization
  • Software Developers who want ownership of deployment and infrastructure
  • IT professionals preparing specifically for the Google Cloud DevOps Engineer certification
  • Platform Engineers responsible for CI/CD and observability tooling
  • Technical leads and architects evaluating Google Cloud for their DevOps strategy

10+ Essential Tools Covered

  • Cloud Build & Cloud Deploy
  • Artifact Registry
  • Google Kubernetes Engine (GKE) & GKE Autopilot
  • Docker
  • Terraform & Cloud Deployment Manager
  • Cloud Monitoring, Cloud Logging & Cloud Trace
  • Managed Service for Prometheus
  • OpenTelemetry
  • Cloud Source Repositories / GitHub / GitLab integrations
  • Secret Manager & Identity and Access Management (IAM)
  • Cloud Run & Compute Engine

Career Outcomes

Certified professionals move into reliability-focused and automation-heavy engineering roles across industries.

  • Cloud DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Google Cloud Platform Engineer
  • Release and Automation Engineer
  • Cloud Infrastructure Engineer
  • DevOps Consultant / Architect

Why Choose igmGuru for This Training?

igmGuru pairs certification-aligned content with real mentorship, so you're not left studying alone.

  • Live, instructor-led sessions taught by practicing Google Cloud professionals
  • Hands-on labs mapped directly to the official exam guide
  • Flexible learning modes - live online, self-paced, or 1:1 sessions
  • Mock tests and scenario-based practice for exam readiness
  • Dedicated post-training support, including interview preparation
  • Lifetime access to recorded sessions and updated course material
  • Industry-recognized course completion certificate from igmGuru

Key Features

Google Cloud Professional DevOps Engineer Course Modules

1. DevOps culture, principles, and the SRE connection
2. Google Cloud core services overview: compute, storage, networking
3. Understanding the Professional Cloud DevOps Engineer exam blueprint
1. Organization policies, folders, and project structuring
2. Billing setup and access control fundamentals
3. Initial networking and security configuration for DevOps teams
1. Writing and managing Terraform configurations
2. Using Cloud Deployment Manager for repeatable infrastructure
3. State management and IaC best practices
1. Building and managing Docker images
2. Deploying workloads on Google Kubernetes Engine (GKE) and GKE Autopilot
3. Working with Cloud Run for serverless container deployment
1. Designing pipelines with Cloud Build and Cloud Deploy
2. Integrating source repositories: GitHub, GitLab, and Cloud Source Repositories
3. Managing build artifacts through Artifact Registry
4. Implementing continuous testing for applications and ML workloads
1. Defining SLIs, SLOs, and error budgets
2. Building error budget policies aligned with business goals
3. Reducing operational toil through automation
1. Setting up Cloud Monitoring dashboards and alerting policies
2. Structured logging and log-based metrics with Cloud Logging
3. Distributed tracing using Cloud Trace and OpenTelemetry
4. Burn-rate alerting for proactive incident response
1. Incident response workflows and on-call practices
2. Root cause analysis and blameless postmortems
3. Using Managed Service for Prometheus for advanced observability
1. Performance tuning for GKE, Cloud Run, and Compute Engine workloads
2. Using Spot VMs, committed-use, and sustained-use discounts
3. Applying Google Cloud's cost recommendations
1. IAM roles and least-privilege access for pipelines
2. Managing secrets with Secret Manager
3. Workload Identity Federation for secure GKE-to-cloud access
1. Full-length practice tests aligned with the current exam guide
2. Scenario-based question walkthroughs
3. Exam strategy, time management, and last-mile revision
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Google Cloud Professional DevOps Engineer Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 2026

Corporate Training

Corporate Training
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  • Flexible Training Schedule Options
  • Industry Experienced Trainers
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Google Cloud Professional DevOps Engineer Certification

The Google Cloud Professional DevOps Engineer certification is an official credential issued directly by Google Cloud. igmGuru's Google Cloud Professional DevOps Engineer certification course is aligned with the official Google exam guide, giving you structured, hands-on preparation across every domain the exam covers. From live mentorship to real-world labs, the training is designed to get you fully exam-ready, not just theoretically informed.

Google Cloud Professional DevOps Engineer Certification Exam Details

  • Certification Name: Google Cloud Certified - Professional Cloud DevOps Engineer
  • Issued By: Google Cloud
  • Exam Format: Multiple-choice and multiple-select questions
  • Number of Questions: 50-60
  • Exam Duration: 2 hours
  • Exam Delivery: Remote-proctored (online) or onsite at a testing center
  • Languages: English and Japanese
  • Exam Fee: USD 200 (plus applicable tax)
  • Validity: 2 years from the date of passing, with renewal available within the eligibility window
  • Recommended Experience: 3+ years of industry experience, including 1+ year designing and managing production systems on Google Cloud
Google Cloud Professional DevOps Engineer Certification

FAQ's

It's a Google Cloud credential that validates your ability to implement CI/CD pipelines, apply SRE practices, and manage reliable, high-velocity software delivery on Google Cloud.

Not to start the training - the course builds up from the basics. But to sit for the actual Google exam, Google recommends 3+ years of industry experience, including at least 1 year on Google Cloud production systems.


The live instructor-led program runs for 40 hours, with additional self-paced lab time so you can practice at your own speed.

The exam has 50-60 multiple-choice and multiple-select questions, to be completed in 2 hours. It's available both online (remote proctored) and at designated test centers.

The certification is valid for 2 years from the date you pass, after which you can renew it within the eligibility window Google provides.

Yes. igmGuru provides post-training support that includes interview preparation, resume guidance, and access to real-world project scenarios to help you apply for DevOps roles confidently.

You'll work directly with Cloud Build, Cloud Deploy, GKE, Terraform, Cloud Monitoring, Cloud Logging, and Artifact Registry, among other tools used daily by Google Cloud DevOps engineers.

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