Program Details

150+ Hours Instructor-Led Sessions
60+ Hours of Self-Paced Videos
200+ Hands-On Exercises
175+ Hours of Learning
10+ Real-World Projects
Well Structured Curriculum
30+ Hours of Problem-Solving Sessions
Numrous Hackathons and Mock Interviews
25+ Auto-Graded Assessments
30+ Hours of Career Coaching

Master GCP DevOps Tools and Technologies

Compute EngineCompute Engine
Google Kubernetes EngineGKE
Artifact RegistryArtifact Registry
TerraformTerraform
Pricing Plans

Our Comprehensive & Training Options Pricing Plans

Standard Plan

One-Time Payment

35k+GST

Trainings + Tool access (Life time) + Internal projects

Choose Package
Value Add Plan

Partial Payment

50k+GST

+ + Stipend

Choose Package
popular
Comprehensive Plan

Advance Package

80k+GST

+ + Laptop

Choose Package
Premium Plan

Complete Package

99k+GST

+ + Placement Support

Choose Package
GCP DevOps Journey

Master Google Cloud DevOps Practices

step 01
GCP Fundamentals & Linux

Master Linux administration on Google Cloud and core GCP services including Compute Engine and Cloud Shell.

step 02
Cloud Source Repositories

Implement Git workflows with Cloud Source Repositories and GitHub integration for version control.

step 03
Cloud Build CI/CD

Build automated pipelines with Cloud Build, implementing CI/CD best practices on GCP.

step 04
Artifact Registry & Containers

Manage container images with Artifact Registry and deploy using Docker on GCP.

step 05
Google Kubernetes Engine

Master container orchestration with GKE, including cluster management and autoscaling.

step 06
Terraform for GCP

Automate GCP infrastructure with Terraform, implementing Infrastructure as Code patterns.

step 07
Cloud Operations Suite

Implement monitoring with Cloud Monitoring, Logging, and Error Reporting for full observability.

step 08
GCP DevOps Optimization

Implement security with Cloud Armor, IAM, and deploy serverless with Cloud Run following Google best practices.

Who Should Attend the Bootcamp

We Provide

Course Journey

Pre-Bootcamp

  • Comprehensive Learning
  • Weekly Instructor-Led Sessions
  • Optional Problem-Solving Sessions
  • Weekly Assessments

Bootcamp

  • 160+ Hours of Training Sessions
  • 200+ Guided Hands-on Exercises
  • 175+ Hours of Learnings
  • 80+ Hours of Self-Paced Videos
  • 30+ Hours of Problem Solving Sessions
  • 30+ Auto-Graded Assessmentss
  • Numrous Hackathons / Mock Interviews

Graduation

  • Internship Programs
  • Training Bootcamp
  • Certification based Trainings
  • Value added Trainings

Capstone

  • Live / Client based Projects
  • Process Orientation Approch
  • Client Feedback

Tech Career Support

  • 15+ Hours of Personalized Career Guidence
  • Interview prepration
  • Resume buildings
  • Soscial Media Marketing
  • Placement Support Services

GCP DevOps Skills You'll Gain

Implement Infrastructure as Code using Terraform for GCP.

Build CI/CD pipelines with Cloud Build and Cloud Deploy.

Containerize applications with Artifact Registry and GKE.

Monitor systems with Cloud Operations (formerly Stackdriver).

Implement configuration management with GCP Deployment Manager.

Deploy and manage cloud infrastructure on Google Cloud.

Implement security with Cloud IAM and Security Command Center.

Automate deployments with Cloud Functions and Eventarc.

Manage logging with Cloud Logging and Error Reporting.

image
Bootcamp

Google Cloud Platform DevOps Bootcamp Syllabus

Module 1: GCP Fundamentals & Linux Administration

  • Google Cloud architecture and core services
  • Google Cloud Resource Manager
  • Linux system administration on GCP
  • Google Cloud VPC and networking
  • Cloud Storage and Persistent Disks

  • Google Cloud Deployment Manager
  • Terraform with Google Cloud provider
  • Google Cloud Organization Policies
  • Infrastructure automation with Cloud Build
  • Config Connector for GCP resources

  • Google Container Registry (GCR)
  • Google Kubernetes Engine (GKE) architecture
  • GKE networking and storage options
  • Anthos for hybrid and multi-cloud
  • Cloud Run for serverless containers

  • Cloud Build for CI/CD
  • Cloud Source Repositories
  • Artifact Registry for package management
  • Deployment Manager and Spinnaker
  • Integrating with GitHub Actions

  • Cloud Monitoring and Logging
  • Cloud Trace and Profiler
  • Cloud Security Command Center
  • Cloud Key Management Service (KMS)
  • Cloud Armor for DDoS protection
  • Chronicle for enterprise security
image
FAQs

GCP DevOps Frequently Asked Questions

What makes GCP DevOps different from other clouds?

Google Cloud Platform offers unique DevOps advantages including:
  • Native Kubernetes support (GKE was created by Google)
  • Superior global networking infrastructure
  • Tight integration with Google's SRE practices
  • Advanced AI/ML ops capabilities
  • Simplified serverless options with Cloud Run
GCP's DevOps tools are designed for high-scale, reliable workloads.

Google Kubernetes Engine (GKE) has several advantages:
  • Created by Google (original developers of Kubernetes)
  • Autopilot mode for fully managed clusters
  • Four-way auto-scaling (pods, nodes, fleet, budgets)
  • Built-in security features like Workload Identity
  • Multi-cluster management with GKE Hub
While other cloud Kubernetes services are good, GKE offers the most native Kubernetes experience.

Google Cloud Build offers several benefits over traditional Jenkins:
  • Fully managed service with no infrastructure to maintain
  • Native integration with other GCP services
  • Faster builds using Google's global infrastructure
  • Pay-per-use pricing model
  • Built-in artifact caching
While Jenkins is more customizable, Cloud Build provides better scalability and requires less operational overhead.

The most relevant GCP certifications for DevOps professionals:
  • Professional Cloud DevOps Engineer - Core certification for GCP DevOps
  • Professional Cloud Architect - Broad GCP architecture
  • Associate Cloud Engineer - Foundational GCP skills
  • Professional Cloud Developer - Application development focus
The DevOps Engineer certification specifically validates skills in implementing CI/CD, monitoring, and SRE practices on GCP.

Google Cloud incorporates Site Reliability Engineering (SRE) principles through:
  • Service Level Objectives (SLOs) dashboard in Cloud Monitoring
  • Error budget tracking and alerting
  • Pre-built SRE dashboards and metrics
  • Integration with Google's SRE best practices
  • Automated remediation recommendations
Many GCP services include SRE features out-of-the-box, making it easier to implement reliability practices.

GCP offers several powerful serverless options:
  • Cloud Run - Run containers without managing clusters
  • Cloud Functions - Event-driven functions as a service
  • App Engine - Fully managed application platform
  • Workflows - Orchestrate serverless services
  • Eventarc - Event management for serverless
These services enable DevOps teams to focus on code rather than infrastructure management.
image