Course Overview
In today’s rapidly evolving technological landscape, organizations demand faster software delivery, higher reliability, and world-class performance. Businesses across every industry are adopting cloud-native DevOps, Site Reliability Engineering (SRE) practices, and modern automation tools to stay competitive. As a result, the demand for skilled Google Cloud DevOps Engineers is growing exponentially. This course is designed to help you master all the essential concepts, tools, and practical skills required to pass the Google Cloud Professional DevOps Engineer Certification—and become a highly skilled DevOps professional capable of architecting, deploying, automating, monitoring, and securing modern cloud applications on Google Cloud.
This comprehensive and hands-on course takes you through every major area of the certification exam blueprint while equipping you with real-world skills you can apply immediately. Whether you're a beginner stepping into DevOps, a cloud engineer looking to level up, or an experienced professional wanting to validate your skills, this course gives you everything you need in one structured learning path.
Why This Certification Is So Important
The Google Cloud Professional DevOps Engineer Certification is one of the most respected and career-boosting credentials in the cloud ecosystem. Companies worldwide use Google Cloud to build scalable, reliable, and secure applications—and DevOps Engineers are the backbone of ensuring these applications run efficiently.
By earning this certification, you demonstrate your ability to:
Implement SRE principles
Build CI/CD pipelines
Deploy applications on Kubernetes (GKE)
Automate infrastructure using Terraform
Monitor systems using Cloud Monitoring and Logging
Manage Cloud Build, Cloud Deploy, Artifact Registry
Ensure security, reliability, observability, and scalability
This course is crafted to help you build these skills using a highly practical and concept-driven approach, ensuring you not only pass the exam but also perform confidently in real DevOps engineering roles.
What Makes This Course Unique?
This course is not just theory. It blends conceptual understanding with hands-on demos, real-world examples, architectural breakdowns, and exam-focused explanations. It covers all major DevOps tools and Google Cloud services that you will encounter in the certification exam and in real enterprise environments.
Key highlights include:
Clear explanation of each domain from the exam guide
Step-by-step breakdowns of SRE concepts like SLOs, SLIs, SLAs, error budgets
Practical CI/CD pipelines using Cloud Build
Deployments using Cloud Deploy and Artifact Registry
Infrastructure automation with Terraform
Kubernetes deployments on Google Kubernetes Engine (GKE)
Anthos, hybrid cloud, and multi-cloud DevOps workflows
Logging, monitoring, dashboards, alerts, and production readiness
Security fundamentals including IAM, service accounts, least privilege, and workload identity
Mastering DevOps workflows from code to production
This combination of theory + practice ensures you fully understand the “why” behind each tool and technique.
What You Will Learn in This Course
This course covers the complete skill set required to become a successful Google Cloud DevOps Engineer. Some major learning outcomes include:
Understanding the role and responsibilities of a Professional Cloud DevOps Engineer
Applying Site Reliability Engineering (SRE) principles for reliability and performance
Creating meaningful SLIs, SLOs, SLAs, and managing error budgets
Implementing blameless postmortems, root cause analysis, and incident response workflows
Building fully automated CI/CD pipelines using Cloud Build and Cloud Deploy
Storing, managing, and scanning artifacts using Artifact Registry
Creating production-ready Kubernetes workloads on GKE
Configuring clusters, autoscaling, workload identity, node pools, networking, and security
Automating infrastructure deployments using Terraform
Writing Terraform modules, managing versions, and creating reproducible environments
Monitoring systems using Cloud Monitoring, dashboards, metrics, alerts, uptime checks
Working with Cloud Logging, logs-based metrics, and troubleshooting distributed systems
Implementing DevOps security practices including IAM, Secrets Manager, VPC Service Controls
Using Anthos for hybrid and multi-cloud DevOps
Implementing blue-green, canary, and progressive delivery strategies
Preparing thoroughly for the Google Cloud Professional DevOps Engineer certification exam
Every topic is broken down in a simple, intuitive manner so learners at any experience level can easily follow along.
Course Structure Overview
The course is divided into well-organized sections, each containing multiple lectures that progressively build your knowledge:
1. Introduction to DevOps, Google Cloud, and SRE
You begin by understanding the evolution of DevOps, Google Cloud fundamentals, and the core SRE concepts that power reliability at Google scale. We explore the history of software development, how DevOps emerged, and where SRE fits into modern engineering practices.
2. SRE Fundamentals
This section dives deep into essential SRE practices such as SLIs, SLOs, SLAs, error budgets, blameless postmortems, eliminating toil, and building resilient systems. These principles form the backbone of the DevOps exam and your job as a DevOps engineer.
3. Google Cloud Services for DevOps
You learn foundational services like IAM, Cloud Storage, Compute Engine, networking, service accounts, and other Google Cloud basics essential for DevOps workflows.
4. CI/CD with Cloud Build
This highly practical section teaches you how to build, automate, and integrate CI/CD pipelines:
Build triggers
Build steps
Substitutions
YAML configuration
Multi-step pipelines
Securing pipelines
Integrating testing and scanning tools
5. Artifact Registry
You explore how to configure Docker repositories, store artifacts, scan vulnerabilities, and integrate the registry with Cloud Build and GKE.
6. Continuous Delivery with Cloud Deploy
Learn how to automate deployments using release pipelines, rollout strategies, approvals, and multi-environment progression.
7. Google Kubernetes Engine (GKE)
One of the exam’s biggest sections, this part teaches you:
Cluster creation
Node pools
Autoscaling
Workload management
Ingress & networking
GKE security
Logging & monitoring for Kubernetes
Rolling updates and canary deployments
8. Infrastructure Automation Using Terraform
You learn to write Terraform code for provisioning Google Cloud resources, managing remote backend states, creating reusable modules, and automating cloud infrastructure end-to-end.
9. Monitoring, Logging & Observability
This section covers:
Cloud Monitoring dashboards
Alerting policies
Uptime checks
SLO monitoring
Cloud Logging queries
Log-based metrics
Debugging production incidents
10. Security, IAM & Governance
Understand DevOps-specific security practices including IAM roles, service accounts, workloads identity, least privilege, Secrets Manager, and secure pipeline design.
11. Anthos & Modern DevOps Workflows
You learn how modern enterprises use Anthos to manage multi-cloud and hybrid DevOps, service mesh, and centralized policy management.
12. Exam Preparation Section
The course includes targeted exam guidance, tips, strategies, and key concepts you must revise before attempting the certification exam.
Anyone wanting a high-paying DevOps or Site Reliability Engineering role will benefit immensely from this course.
Career Impact & Industry Demand
Completing this course and achieving the Professional DevOps Engineer certification opens doors to roles such as:
Cloud DevOps Engineer
SRE (Site Reliability Engineer)
Cloud Engineer
Infrastructure Engineer
CI/CD Architect
Kubernetes Engineer
Cloud Automation Engineer
Global salaries for DevOps engineers are among the highest in the industry. Companies running scalable systems—Google, Meta, Amazon, Microsoft, Netflix, Uber, and countless others—need professionals with these skills.
Teaching Style & Learning Approach
This course is designed with a teaching flow that simplifies even the most complex DevOps concepts. You will learn through:
Visual explanations
Real-world analogies
Hands-on demos
Step-by-step walkthroughs
Clear, beginner-friendly explanations
You’ll never feel lost—every concept builds upon the previous one.
Final Word
If you want to become a highly skilled Google Cloud DevOps Engineer, build world-class pipelines, deploy on GKE, automate infrastructure, implement SRE principles, and master monitoring, logging, and security—this is the perfect course for you.
With structured content, practical demos, and certification-focused guidance, you’ll walk away fully prepared for the Google Cloud Professional DevOps Engineer exam and confident in your ability to operate production-grade systems on Google Cloud.
Enroll today and accelerate your career in DevOps and Cloud Engineering!
Regards
Ankit Mistry
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Course curriculum
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The Google Cloud resource hierarchy
454 -
IAM Roles and Permissions
451 Xem trước -
Organization Policies and Data Residency
438 Xem trước -
Service Accounts and Workload Identity
514 Xem trước -
Shared Networking Patterns
397 -
Infrastructure as Code and Automation
508 -
GitOps, Blueprints and Safe Change
374 -
Designing the CI/CD Architecture Stack
444 -
Managing Multiple Environments
377 -
GKE Fleets, Patching and Upgrades
381 -
Cloud Development Environments and AI Assistance
414
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Designing CI/CD Pipelines
424 -
Continuous Testing in the Pipeline
395 -
Artifact Management with Artifact Registry
481 -
Pipelines for Infrastructure and ML
462 -
Delivery to Hybrid and Multi Cloud
397 -
Deployment Strategies and Success Metrics
444 -
Auditing and Tracking Deployments
448 -
Configuration and Secrets Management
457 -
Software Supply Chain Security
421 -
IAM and Separation of Duties
433 -
Troubleshooting Deployment Issues
402
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History of Software Development Cycle
501 -
DevOps & SRE
496 -
Role of SRE
454 -
Blameless Postmortem
407 -
Error Budgets
436 -
Eliminating Toil
466 -
SLO (Service level Objective)
559 -
SLI (Service Level Indicator)
447 -
SLA (Service level Agreement)
428 -
The Cost of Nines
452 -
Alerting on SLOs and Burn Rate
407 -
Managing the Service Lifecycle
408 -
Capacity Planning
425 -
Autoscaling Concepts
440 -
Incident Management
424 -
Mitigating Incident Impact on Users
429 -
On Call Practices and Alert Fatigue
426
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Monitoring and Observability
339 -
Logs, Metrics and Traces
338 -
The Golden Signals
365 -
OpenTelemetry and Instrumentation
352 -
Cloud Logging Architecture
364 -
The Logging Query Language
385 -
Optimising Log Cost
333 -
Handling Sensitive Data in Logs
324 -
Metrics Concepts
351 -
Designing Dashboards People Use
284 -
Alerting Policies and Notification Channels
300 -
Synthetic Monitoring
418 -
Distributed Tracing Explained
378 -
A Troubleshooting Framework
326
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Application Performance Monitoring
355 -
Active Assist and Recommenders
313 -
FinOps Fundamentals
302 -
Google Cloud Pricing Models
377 -
Spot VMs and Interruptible Workloads
376 -
Rightsizing and Eliminating Waste
343 -
Network Tiers and Egress Costs
344 -
Controlling Observability Costs
279 -
Cost Visibility, Labels and Budgets
364
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1. Create Github Account & Repository
227 -
2. Clone Repo with Authentication & Push Changes
628 -
3. Create Cloudbuild.yaml
425 -
4. Create Trigger, Github connection from Google Cloud Console
662 -
5. Push Changes and Test Flow
424 -
6. Explore All Build Details
650 -
7. Explorer Different Logging Options.mp4
511
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1. Create Python App Trigger
497 -
2. Timeout options
230 -
3. Build and Store Docker Image in Artifact Registry Part - 1
668 -
4. Build and Store Docker Image in Artifact Registry Part - 2
486 -
5. Deploy Container Image to Cloud Run (Serverless Deployment)
1265 -
6. Schedule Trigger
670 -
7. Substitution Variables in Cloud Build
1078 -
8. artifacts in cloudbuild.yaml
496 -
9. waitfor
1012 -
10. Create Maven Package and Push to Artifact Registry
658
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What is Container - V2
410 -
Dive into Docker - V2
309 -
Introduction to Container Registry - V2
350 -
Create First Docker images - V2
690 -
Optimize Docker image & Run Docker Container - V2
584 -
Push Docker Image to Container registry - V2
475 -
Introduction to Artifact Registry - V2
526 -
Push Docker image to Artifact Registry - V2
289
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Different Deployment Method for GCP Compute
696 -
[Hands-on] Deploy to Google Cloud Function - I
557 -
[Hands-on] Deploy to Google Cloud Function - II
281 -
[Hands-on] Deploy app on Google App Engine - I
855 -
[Hands-on] Deploy app on Google App Engine - II
498 -
[Hands-on] Deploy Docker image on Cloud Run - I
523 -
[Hands-on] Deploy Docker image on Cloud Run - II
345 -
[Hands-on] Deploy Docker image on GKE - I
576 -
[Hands-on] Deploy Docker image on GKE - II
267 -
[Hands-on] Deploy on Google Compute Engine - I
667 -
[Hands-on] Deploy on Google Compute Engine - II
462 -
[Hands-on] Instance template
664 -
[Hands-on] Deploy with Managed Instance Group
532 -
[Hands-on] Add Load balancer
514
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Secure Container Deployment
316 -
What is Container Scanning API
86 -
[Hands-on] Container Scanning & Base Image Demo - I
717 -
[Hands-on] Container Scanning & Base Image Demo - II
354 -
[Hands-on] Binary Authorization - I
544 -
[Hands-on] Binary Authorization - II (Cloud Run)
681 -
[Hands-on] Binary Authorization - III (GKE)
494
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Introduction to Cloud Ops Tool
135 -
Why Operations tool required
224 -
[Hands-on] Cloud Monitoring Exploration
725 -
[Hands-on] Cloud Monitoring - Installation of Ops Agent
754 -
[Hands-on] Cloud Monitoring - Create Custom Dashboard
492 -
[Hands-on] Setup Uptime Check
795 -
[Hands-on] Setup Alerting Policy
824 -
[Hands-on] Resource Grouping
200
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[Hands-on] Cloud Clogging service - UI
502 -
Types of Cloud Audit Logging
410 -
[Hands-on] Admin Activity Logs
588 -
[Hands-on] System Event Logs - I
246 -
[Hands-on] System Event Logs - II
195 -
[Hands-on] Data Access Logs
527 -
[Hands-on] Log Collection - GCloud SDK
666 -
[Hands-on] Log Collection - other google cloud services
409 -
[Hands-on] Log Collection - Install cloud logging agent
788 -
[Hands-on] Log Collection -Cloud Logging API
548 -
[Hands-on] Log based Metrics - Counter
592 -
[Hands-on] Log based Metrics - Distribution
368 -
[Hands-on] Cloud Log Router - I
586 -
[Hands-on] Cloud Log Router - II
602 -
[Hands-on] Cloud Log Router - III
290
Requirment
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Basic understanding of cloud computing concepts (no prior Google Cloud experience required).
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Familiarity with Linux command line, software development, or IT operations is helpful but not mandatory.
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A willingness to learn hands-on DevOps tools, automation, and Google Cloud services through practical examples.
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Credit or debit card for Google cloud free trial account
Outcomes
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Understand the core responsibilities and mindset of a Google Cloud Professional DevOps Engineer.
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Learn how to design, implement, and maintain reliable systems using SRE principles.
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Master key concepts such as SLIs, SLOs, SLAs, error budgets, and blameless postmortems.
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Implement automation strategies to reduce toil and improve operational efficiency.
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Explore Google Cloud infrastructure essentials such as networking, IAM, compute, and storage.
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Learn how to build, package, and store application artifacts using Artifact Registry.
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Develop hands-on CI/CD pipelines using Cloud Build, including triggers, steps, and automation workflows.
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Deploy applications reliably using Google Cloud Deploy with progressive delivery.
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Implement end-to-end deployment pipelines integrating Cloud Build, Artifact Registry, and GKE.
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Learn to configure Kubernetes clusters on Google Kubernetes Engine (GKE) and deploy microservices.
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Understand GKE security, node pools, autoscaling, networking, and workload best practices.
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Apply Infrastructure as Code (IaC) using Terraform, including modules, state management, and automation.
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Learn how to modernize and manage hybrid/multi-cloud applications using Anthos.
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Implement advanced DevOps practices such as canary deployments, blue-green rollouts, and GitOps.
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Learn to monitor applications using Cloud Monitoring dashboards, metrics, uptime checks, and alerts.
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Analyze logs effectively using Cloud Logging, log-based metrics, and alerting policies.
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Understand security best practices including IAM roles, service accounts, secrets management, and workload identity.
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Build secure CI/CD pipelines with vulnerability scanning and policy enforcement.
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Learn incident response strategies including monitoring, alerting, and production-readiness checklists.
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Prepare confidently for the Google Cloud Professional DevOps Engineer Certification with structured, hands-on guidance.
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