RexGalaxy Academy
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Google Cloud Platform (GCP) Cloud Computing Course

Master Google Cloud Platform (GCP) through hands-on training in cloud infrastructure, networking, security, storage, databases, DevOps, monitoring, and deployment. Build real-world cloud projects and prepare for cloud engineering roles.

Trusted by learners across Noida and NCR
Practical training with portfolio-ready delivery
Structured support for interviews and career transition
RexGalaxy Academy

RexGalaxy Academy

Structured training, practical implementation, and career-focused learning support for serious learners.

Course Duration

10 Months

Category

Cloud & DevOps / Google Cloud

Training Focus

Practical learning, guided modules, projects, and interview readiness.

About Course

What You Will Learn

Professional Training for Google Cloud Platform

This Google Cloud Platform (GCP) training program is designed to prepare students for modern cloud engineering, cloud support, DevOps, and cloud architecture roles. The course provides practical experience with Google Cloud services, infrastructure deployment, security, networking, automation, monitoring, and real-world cloud projects.

Key Highlights

  • Learn cloud computing from the ground up.
  • Gain hands-on experience with Google Cloud services.
  • Deploy and manage cloud infrastructure.
  • Master cloud networking and security.
  • Learn Infrastructure as Code using Terraform.
  • Work on real-world cloud projects.
  • Certification preparation support.
  • Placement assistance and career guidance.

Modules

Detailed Course Curriculum

Module 1

Cloud Computing & GCP Fundamentals

Module Content

  • Introduction to Cloud Computing
  • Cloud Service Models (IaaS, PaaS, SaaS)
  • Google Cloud Overview
  • GCP Console Navigation
  • Projects and Billing
  • Resource Management
  • Regions and Zones
Module 2

Identity & Access Management (IAM)

Module Content

  • Google Cloud IAM
  • Users and Service Accounts
  • Roles and Permissions
  • Organization Policies
  • Resource Hierarchy
  • Security Best Practices
  • Access Control Management 
Module 3

Compute Engine & Virtual Machines

Module Content

  • Compute Engine Fundamentals
  • Virtual Machine Deployment
  • Machine Types
  • Startup Scripts
  • Instance Groups
  • Autoscaling
  • VM Monitoring and Troubleshooting
Module 4

Storage & Database Services

Module Content

  • Cloud Storage
  • Storage Classes
  • Cloud SQL
  • Firestore
  • BigQuery
  • Data Backup Strategies
  • Data Security and Management
Module 5

Networking in Google Cloud

Module Content

  • Virtual Private Cloud (VPC)
  • Subnets and Routes
  • Firewall Rules
  • Load Balancing
  • Cloud DNS
  • Cloud CDN
  • Hybrid Connectivity Concepts
Module 6

Containers & Kubernetes

Module Content

  • Introduction to Containers
  • Docker Fundamentals
  • Google Kubernetes Engine (GKE)
  • Cluster Deployment
  • Pod Management
  • Service Discovery
  • Container Security
Module 7

DevOps & Infrastructure Automation

Module Content

  • DevOps Fundamentals
  • Cloud Build
  • Cloud Deploy
  • CI/CD Pipelines
  • Terraform Fundamentals
  • Infrastructure as Code
  • Automated Deployments
Module 8

Monitoring, Logging & Security

Module Content

  • Cloud Monitoring
  • Cloud Logging
  • Alerting Policies
  • Security Command Center
  • Cloud Audit Logs
  • Incident Management
  • Performance Optimization
Module 9

Serverless & Advanced GCP Services

Module Content

  • Cloud Functions
  • Cloud Run
  • Pub/Sub Messaging
  • Event-Driven Architecture
  • API Management
  • Serverless Deployments
  • Cost Optimization 
Module 10

Capstone Project & Career Preparation

Module Content

  • End-to-End Cloud Project
  • Infrastructure Design
  • Secure Cloud Deployment
  • Terraform-Based Automation
  • Portfolio Development
  • Resume Building
  • Interview Preparation
  • Placement Assistance

Conclusion

Why Choose This Course?

The Google Cloud Platform Course provides practical, industry-oriented cloud training that helps students build expertise in cloud administration, DevOps, cloud engineering, and infrastructure management. Through hands-on labs and real-world projects, students gain the confidence required for modern cloud careers.

Benefits

  • Industry-aligned curriculum
  • Real Google Cloud lab experience
  • Hands-on cloud projects
  • Terraform and Kubernetes training
  • Certification preparation
  • Expert mentorship
  • Placement assistance
  • Interview preparation support

Career Opportunities

  • Google Cloud Engineer
  • Cloud Support Engineer
  • Cloud Administrator
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Infrastructure Engineer
  • Cloud Operations Engineer
  • Cloud Solutions Associate

By the end of this course, students will be able to design, deploy, manage, monitor, and secure cloud environments using Google Cloud Platform confidently and professionally.

Trusted Learning

Industry-oriented training backed by guided mentorship.

Upcoming Batches

Flexible schedules for students, freshers, and working professionals.

Mentor Support

Regular doubt handling and learning guidance throughout the course.

Career Focus

Projects, interview readiness, and placement-oriented preparation.

Learning Support

A Clear Path From Enquiry To Learning

Every course detail page follows a simple path: understand the course, speak with our team, access the curriculum, and plan your batch with clarity.

Who Should Join

Beginners, graduates, working professionals, and career switchers who want structured learning with practical execution.

Training Approach

Concept clarity, guided practice, assignments, live examples, and project-based implementation in every phase of the course.

Support Beyond Classes

Session recordings, mentor assistance, interview preparation, and admission guidance to help you stay consistent.

Need Help Choosing The Right Batch?

Speak with our counsellor and get clarity on curriculum, timing, and admission support.

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Testimonials

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I enrolled in the Generative AI course at Rex Galaxy Academy, Noida. The prompt engineering modules and real-world AI projects were extremely practical. Within 3 months, I was able to build AI automation workflows confidently.

Aman Gupta

Aman Gupta

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