Google Cloud
Google Cloud-Professional Cloud DevOps Engineer
The Google Cloud Professional Cloud DevOps Engineer Training by Techpratham teaches you how to use CI/CD pipelines, automation, monitoring, and reliability engineering on GCP. It gets you ready to pass the Professional Cloud DevOps Engineer certification exam and move up in your cloud career.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
What is Google Cloud-Professional Cloud DevOps Engineer?
The Google Cloud Professional Cloud DevOps Engineer Training by Techpratham will teach you how to use Google Cloud for DevOps, automation, and CI/CD pipelines. This training teaches the best ways to manage cloud operations, including site reliability engineering (SRE), monitoring, logging, and security. It gets you ready to pass the Professional Cloud DevOps Engineer certification exam and become an expert in scalable and reliable cloud solutions by giving you hands-on labs and real-world projects.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
Google Cloud-Professional Cloud DevOps Engineer Course Curriculum
.
Introduction to DevOps on Google Cloud
Section 1
Learn the fundamentals of DevOps culture, practices, and tools in the context of Google Cloud Platform.
DevOps principles and practices
Google Cloud Platform overview
CI/CD and automation concepts
Infrastructure as Code (IaC) basics
DevOps roles and responsibilities
.
Building and Deploying CI/CD Pipelines
Section 2
Discover how to use GCP tools to build automated pipelines for continuous integration and delivery.
Introduction to Continuous Integration and Continuous Deployment
Using Cloud Build for Automated Builds
Artifact Management with Container Registry and Artifact Registry
Deployment Automation with Cloud Deploy
Integrating GitOps and Cloud Source Repositories
.
Managing and Automating Infrastructure
Section 3
Use Terraform and Deployment Manager to automate GCP with Master Infrastructure as Code (IaC).
Infrastructure as Code (IaC) Concepts
Using Deployment Manager and Terraform on GCP
Managing Compute Engine, GKE, and Cloud Run Resources
Automating Infrastructure Scaling and Management
Policy Enforcement and Configuration Management
.
Monitoring, Logging, and Operations
Section 4
Put observability and monitoring into practice to guarantee system performance and dependability.
Stackdriver (Cloud Operations Suite) Overview
Cloud Monitoring and Metrics Setup
Logging and Log-Based Metrics
Alerting and Incident Management
Dashboards, Uptime Checks, and Service Monitoring
.
Implementing Service Reliability (SRE Practices)
Section 5
Adopt SRE best practices to meet performance goals and preserve service quality.
Understanding Service Level Indicators (SLI), Objectives (SLO), and Agreements (SLA)
Error Budgets and Release Strategies
Blameless Postmortems and Reliability Culture
Capacity Planning and Load Management
Resilience and Fault-Tolerant Architecture
.
Managing Security and Compliance in DevOps
Section 6
Using IAM, policy control, and compliance management, secure DevOps processes.
Identity and Access Management (IAM) for DevOps
Secret and Key Management
Secure CI/CD Pipeline Design
Policy Controls, Compliance, and Governance
Security Monitoring and Threat Detection
.
Application Performance and Optimization
Section 7
Enhance the cost-effectiveness, scalability, and performance of cloud applications.
Performance Tuning for GKE and Cloud Run
Optimizing Application Latency and Throughput
Cost and Resource Optimization Strategies
Load Testing and Auto Scaling
Application Debugging and Profiling
.
Managing Incidents and Ensuring Continuous Operations
Section 8
Learn how to automate rollbacks, manage incidents, and ensure business continuity.
Incident Response and Root Cause Analysis
Service Recovery Procedures and Playbooks
Automating Rollbacks and Canary Releases
Disaster Recovery and Business Continuity Planning
Monitoring SLIs and SLOs for Ongoing Reliability
.
Preparing for the Professional Cloud DevOps Engineer Exam
Section 9
Use practical labs, real-world scenarios, and mock exams to effectively prepare.
Exam Overview and Format
Key Exam Domains and Weightage
Practice Questions and Hands-On Labs
Scenario-Based Exam Preparation
Final Review and Certification Tips
Key Projects
Google Cloud-Professional Cloud DevOps Engineer
CI/CD Pipeline with Google Cloud Build & Kubernetes
You will use Google Cloud Build to set up a CI/CD pipeline that will automate the building, testing, and deployment of a containerized application on Google Kubernetes Engine (GKE) as part of this project. To make sure deployments go smoothly, you will set up automated testing, versioning, and rollback strategies.
Monitoring & Logging for High-Availability Application
Use Google Cloud Monitoring and Logging to set up a logging and monitoring system for an application that is ready for production. Set up dashboards, custom metrics, and rules for sending alerts. Use Site Reliability Engineering (SRE) methods to check and boost the uptime, response time, and reliability of your apps.
Infrastructure Automation with Terraform & IAM Security
Use Terraform on GCP to automate the setup of a scalable cloud infrastructure. Set up IAM roles, policies, and secrets management to protect the deployment. Infrastructure as code (IaC), repeatable deployments, and making sure that rules are followed will be the main goals of the project.
Google Cloud-Professional Cloud DevOps Engineer – Associate Training Program
Category
Associate
Exam Name:
Google Cloud-Professional Cloud DevOps Engineer – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)
What is the Google Cloud Professional Cloud DevOps Engineer certification?
The Google Cloud Professional Cloud DevOps Engineer certification shows that you can design, set up, and run CI/CD pipelines, monitoring, automation, and reliability engineering on Google Cloud. It shows that you know a lot about DevOps and how to run things in the cloud.
Does this certification improve my career prospects
yes, there is a great need for certified DevOps engineers, particularly in startups and cloud-native enterprises.
Are there mock exams included in the program?
Yes, a number of practice labs and mock tests are provided to mimic actual certification questions.
What is the average fresher package after completing this course?
Experienced professionals may make ₹15–20 LPA, while freshmen can anticipate ₹5–8 LPA.
What industries hire DevOps Engineers?
DevOps specialists are in high demand in the tech, finance, e-commerce, healthcare, and AI-driven industries.
What is the validity period of the Google Cloud – Professional Cloud DevOps Engineer certification exam?
The certification remains valid for two years from the date of passing.
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