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CoursesDevOps
Google Cloud-Professional And DevOps Engineer
DevOps
Google Cloud-Professional And 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

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About Google Cloud-Professional And 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.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Google Cloud-Professional And DevOps Engineer course curriculum

Introduction to DevOps on Google Cloud

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

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

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

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)

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

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

DevOps Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

Can't find a batch you were looking for?

Who should get enroll in The Google Cloud Professional DevOps Engineer program

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles After Completing Google Cloud-Professional And DevOps Engineer Training

GCP DevOps Engineer

Cloud Automation Engineer

Platform Engineer

Key Projects

Google Cloud-Professional And DevOps Engineer Training Program

Tata Motors

Tata MotorsVehicle Tracking Platform


Scenario: Automating real-time telematics data pipelines for commercial trucks moving across Mumbai, Pune, and Chennai manufacturing hubs to optimize route dispatch and maintenance.

Live Work:

  • Build Pub/Sub pipelines for sensor tracking.
  • Auto-scale GKE clusters for data processing.
  • Monitor fleet latency using Cloud Observability.
Outcome: Achieved 99.9% tracking uptime for trucks.
Infosys

InfosysNext-Gen Developer Platform


Scenario: Setting up an internal development portal for thousands of software engineers in Bengaluru and Hyderabad IT parks to provision isolated, secure GCP sandboxes instantly.

Live Work:

  • Write modular Terraform files for VPC isolation.
  • Enforce strict IAM policies across sandbox environments.
  • Integrate Cloud Build for automated code checks.
Outcome: Reduced environment setup time from days to mins.
Accenture India

Accenture IndiaHigh-Velocity Retail Migration


Scenario: Migrating a major Indian retail client's e-commerce application to GCP before the festive season sales, managing peak user traffic from Delhi NCR, Mumbai, and Bengaluru.

Live Work:

  • Configure GKE Autopilot for automated scaling.
  • Implement Cloud CDN for faster local image delivery.
  • Script canary deployments using Cloud Service Mesh.
Outcome: Handled 5x traffic spike with zero crashes.
KPMG India

KPMG IndiaSecure Financial Analytics


Scenario: Designing a secure DevSecOps framework for financial audit applications handling banking data in Mumbai, ensuring complete compliance with RBI regulatory guidelines.

Live Work:

  • Embed automated container security scans in pipelines.
  • Restrict public backend access using Cloud NAT.
  • Route transaction logs safely to BigQuery sinks.
Outcome: Passed 100% of banking compliance audits.

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is the Google Cloud Professional Cloud DevOps Engineer certification?

Does this certification improve my career prospects

Are there mock exams included in the program?

What is the average fresher package after completing this course?

What industries hire DevOps Engineers?

What is the validity period of the Google Cloud – Professional Cloud DevOps Engineer certification exam?

How do you manage Infrastructure as Code efficiently on Google Cloud?

What is your approach to securing a Google Cloud Build CI/CD pipeline?

How do you achieve zero-downtime microservice deployments in GKE?

What is the practical difference between an SLI and an SLO in GCP?

How do you implement centralized logging for multi-region systems?

How do you handle a canary deployment using Google Cloud Service Mesh?

Google Cloud-Professional And DevOps Engineer Certification

The Google Cloud Professional DevOps Engineer program is an advanced, 6 to 8-week training course (comprising 40–50 hours of intensive learning and hands-on labs) tailored for IT professionals looking to master cloud-native automation, CI/CD pipelines, and infrastructure management. Built on Google’s pioneering Site Reliability Engineering (SRE) principles, the curriculum teaches you to balance rapid deployment with system stability using industry-standard tools like Terraform, Docker, and Google Kubernetes Engine (GKE). To achieve certification, candidates must pass a $200 USD, 120-minute exam consisting of 50–60 practical, scenario-based multiple-choice questions, which can be taken either online via remote proctoring or in person at an authorized testing center.

Earning this elite credential unlocks exceptional placement and career opportunities across a booming global cloud market where enterprises are rapidly migrating to GCP. Graduates are highly sought after by top-tier tech firms, global consulting agencies, and fast-growing startups for premium, high-paying roles that bridge the gap between development and operations. By validating your real-world troubleshooting and cloud-native engineering skills, this program successfully positions you for trending, high-demand industry positions such as Cloud DevOps Engineer, Site Reliability Engineer (SRE), Platform Engineer, Cloud Automation Specialist, and GKE Administrator.

Industry-Recognized Certification

Certificate
Google Cloud-Professional Training

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