Cloud Computing · PPL

Google Cloud Cloud DevOps Engineer Certification

Master DevOps practices on Google Cloud by automating deployments, managing infrastructure, improving reliability, and optimizing application delivery pipelines.

  • 4 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹15,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
2M+ Delegates trained worldwide
15,000+ Corporate clients
490+ Training locations
4.8 ★ Average learner rating
20% OFF Limited-time launch offer
— The journey

Course Outline

What the programme covers, module by module.

Module 1: Google Cloud DevOps Fundamentals

  • DevOps principles
  • Google Cloud architecture
  • DevOps lifecycle
  • Cloud-native development
  • DevOps culture

Module 2: Google Cloud Environment Setup

  • Google Cloud Console
  • Cloud SDK
  • Cloud Shell
  • IAM configuration
  • Project management

Module 3: Source Code Management

  • Cloud Source Repositories
  • Git workflows
  • Branching strategies
  • Version control
  • Code collaboration

Module 4: Continuous Integration

  • Cloud Build
  • Build triggers
  • Automated builds
  • Build configuration
  • Artifact generation

Module 5: Continuous Delivery

  • Deployment pipelines
  • Release strategies
  • Blue-green deployments
  • Canary deployments
  • Rollback planning

Module 6: Containerization

  • Docker fundamentals
  • Container image creation
  • Artifact Registry
  • Image management
  • Container optimization

Module 7: Kubernetes with Google Kubernetes Engine

  • GKE architecture
  • Cluster deployment
  • Workload management
  • Scaling applications
  • Cluster maintenance

Module 8: Infrastructure Automation

  • Infrastructure as Code
  • Deployment Manager overview
  • Resource provisioning
  • Configuration management
  • Infrastructure automation

Module 9: Configuration Management

  • Environment configuration
  • Secret Manager
  • Configuration files
  • Parameter management
  • Secure configuration

Module 10: Monitoring and Observability

  • Cloud Monitoring
  • Cloud Logging
  • Metrics collection
  • Dashboards
  • Alerting

Module 11: Site Reliability Engineering

  • SRE principles
  • Service Level Indicators (SLIs)
  • Service Level Objectives (SLOs)
  • Error budgets
  • Reliability engineering

Module 12: Incident Management

  • Incident response
  • Root cause analysis
  • Operational playbooks
  • Recovery procedures
  • Post-incident reviews

Module 13: Security in DevOps

  • IAM best practices
  • Identity management
  • Secure deployment
  • Vulnerability management
  • Security automation

Module 14: Networking for DevOps

  • Virtual Private Cloud (VPC)
  • Load Balancers
  • Cloud DNS
  • Firewall rules
  • Secure connectivity

Module 15: Serverless DevOps

  • Cloud Run
  • Cloud Functions
  • Event-driven automation
  • Deployment workflows
  • Serverless operations

Module 16: CI/CD Pipeline Optimization

  • Pipeline optimization
  • Automated testing
  • Release automation
  • Pipeline monitoring
  • Deployment efficiency

Module 17: Performance Optimization

  • Application performance
  • Resource optimization
  • Autoscaling
  • Performance tuning
  • Capacity planning

Module 18: Backup and Disaster Recovery

  • Backup strategies
  • Disaster recovery planning
  • High availability
  • Multi-region deployment
  • Business continuity

Module 19: Cloud Operations

  • Operational excellence
  • Resource governance
  • Cost optimization
  • Operational monitoring
  • Maintenance strategies

Module 20: DevSecOps Practices

  • Secure CI/CD pipelines
  • Security automation
  • Compliance monitoring
  • Policy enforcement
  • Risk management

Module 21: Automation Frameworks

  • Workflow automation
  • Scheduled tasks
  • Event-driven automation
  • Infrastructure workflows
  • Process optimization

Module 22: Enterprise DevOps Architecture

  • Enterprise deployment models
  • Multi-environment management
  • Multi-project architecture
  • Platform engineering
  • Governance strategies

Module 23: Cloud Migration and Modernization

  • Application modernization
  • Migration planning
  • Container migration
  • Deployment strategies
  • Optimization techniques

Module 24: End-to-End DevOps Implementation

  • Designing complete DevOps pipelines
  • Infrastructure deployment
  • Automated operations
  • Performance evaluation
  • Continuous improvement 
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand DevOps principles and Google Cloud services

02

Build automated CI/CD pipelines for cloud applications

03

Deploy and manage containerized workloads using GKE

04

Automate infrastructure provisioning and configuration

05

Implement monitoring, logging, and observability solutions

06

Apply Site Reliability Engineering (SRE) practices

07

Secure cloud applications using DevSecOps principles

08

Design scalable, resilient, and automated cloud delivery platforms

— Questions answered

Frequently Asked Questions

Who should attend this course?
This course is ideal for DevOps engineers, cloud engineers, SREs, platform engineers, and experienced software professionals working with Google Cloud.
Do I need prior Google Cloud experience?
Yes. A working knowledge of Google Cloud services, Linux, containers, and cloud computing concepts is recommended.
Will the course include practical exercises?
Yes. Participants will build CI/CD pipelines, deploy applications to Kubernetes, automate infrastructure, configure monitoring, and implement DevOps workflows through hands-on labs.
Which Google Cloud services are covered?
The course covers Cloud Build, Google Kubernetes Engine (GKE), Cloud Run, Cloud Functions, Artifact Registry, Cloud Monitoring, Cloud Logging, Secret Manager, IAM, and related DevOps services.
What skills will I gain after completing this course?
You will learn to automate deployments, manage cloud infrastructure, implement DevSecOps practices, improve application reliability, and build scalable DevOps pipelines on Google Cloud.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

PPL Academy enquiry form

Get the course
that's right for you.

Our advisors respond within one business day.

Full name
Work email
Contact number
Message (optional)
Your details are never shared with third parties.
< 24h Response
Live & online Delivery
Certified Instructors