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Google Cloud Platform (GCP) Course Modules

The Google Cloud Platform (GCP) Course is designed to provide a comprehensive understanding of cloud computing using GCP, including core services, networking, security, DevOps, AI/ML, and hands-on cloud deployment.

This course is ideal for IT professionals, system administrators, cloud engineers, developers, security specialists, and anyone preparing for Google Cloud certifications.


 

Key Learning Objectives

 

By the end of this course, you will:

  • Understand Google Cloud infrastructure, pricing models, and IAM policies
  • Deploy Virtual Machines (Compute Engine), Kubernetes (GKE), and Serverless Applications (Cloud Functions)
  • Configure Google Cloud Networking (VPC, Cloud Load Balancing, CDN, DNS)
  • Implement Cloud Security with IAM, Firewalls, Cloud Armor, and Security Command Center
  • Manage Google Cloud Storage (GCS, Filestore, Persistent Disks) and Databases (BigQuery, Firestore, Cloud SQL, Spanner)
  • Automate Infrastructure as Code using Terraform and Deployment Manager
  • Integrate AI/ML services with Google Cloud AI and TensorFlow
  • Monitor and log cloud performance using Cloud Logging, Cloud Monitoring, and Cloud Trace
  • Prepare for Google Cloud Certification Exams

 

Who Should Take This Course?

This course is ideal for:

  • IT Professionals & System Administrators
  • Cloud Engineers & Solutions Architects
  • DevOps Engineers & Software Developers
  • Cybersecurity & Cloud Security Engineers
  • Data Scientists & AI/ML Engineers
  • Anyone preparing for Google Cloud Certifications
About this course:
Level

Advance

Timing

Flexible Timing

Duration:

10-15 Weeks

Mode:

Theory + Hands-on Labs + Real-World Case Studies

Google Cloud Platform (GCP) Modules

Module 1: Introduction to Google Cloud Platform (GCP)
  • What is Cloud Computing? (IaaS, PaaS, SaaS)
  • Introduction to Google Cloud Platform (GCP)
  • Google Cloud Global Infrastructure (Regions, Zones, Edge Locations)
  • Creating a Google Cloud Account & Navigating the Console
  • Google Cloud Free Tier & Billing Overview
Module 2: Google Cloud Compute Services
  • Google Compute Engine (GCE) (Virtual Machines)
  • Google Kubernetes Engine (GKE) (Containers & Orchestration)
  • Google App Engine (GAE) (Platform as a Service)
  • Cloud Functions (Serverless Computing)
Module 3: Google Cloud Storage & Databases
  • Cloud Storage (Object Storage, Buckets, IAM Permissions)
  • Persistent Disks & Filestore
  • Google Cloud SQL (MySQL, PostgreSQL, SQL Server)
  • Bigtable (NoSQL Database for Big Data Analytics)
  • Firestore & Firebase Realtime Database
Module 4: Google Cloud Networking
  • Virtual Private Cloud (VPC) & Subnetting
  • Cloud Load Balancing & Traffic Routing
  • Cloud DNS & Hybrid Connectivity (Cloud VPN & Interconnect)
  • Cloud CDN (Content Delivery Network)
  • Identity-Aware Proxy & Cloud NAT
Module 5: Security & Identity Management in GCP
  • Identity & Access Management (IAM)
  • Google Cloud Security Best Practices
  • Cloud Key Management Service (KMS)
  • Cloud Armor (DDoS Protection & Web Security)
  • Google Security Command Center
Module 6: Google Cloud DevOps & Automation
  • Google Cloud Deployment Manager (Infrastructure as Code – IaC)
  • Terraform on Google Cloud
  • Cloud Build & CI/CD Pipelines
  • Cloud Monitoring & Logging (Stackdriver)
  • Cloud Scheduler & Cloud Tasks
Module 7: Big Data & Machine Learning on GCP
  • BigQuery (Data Warehouse & Analytics)
  • Cloud Dataflow (Streaming & Batch Data Processing)
  • Cloud Dataproc (Apache Spark & Hadoop on GCP)
  • Cloud AI & ML Services (Vertex AI, AutoML, Vision, NLP)
Module 8: Google Cloud Compliance & Cost Management
  • Understanding Google Cloud Pricing & Billing
  • Google Cloud Cost Optimization Strategies
  • Cloud Budgets & Cost Control Policies
Module 9: Hands-on Labs & Real-World Projects
  • Deploying a Virtual Machine & Web App on Google Cloud Compute Engine
  • Hosting a Static Website on Cloud Storage with CDN
  • Building a Serverless API with Cloud Functions & API Gateway
  • Deploying a Kubernetes Cluster on GKE with Auto-scaling
  • Big Data Analytics Project with BigQuery & Cloud Dataflow
  • Setting Up a Secure GCP Environment with IAM, VPC & Firewall Rules
Google Cloud Certification Preparation
  • Google Cloud Digital Leader
  • Google Associate Cloud Engineer
  • Google Professional Cloud Architect
  • Google Professional Security Engineer
  • Google Professional DevOps Engineer
Common Questions

Frequently Asked Questions (FAQ) – Google Cloud Platform (GCP) Course

Google Cloud Platform (GCP) is a leading cloud computing service offering infrastructure, analytics, and AI solutions. Learning GCP can boost your career in cloud computing, DevOps, data engineering, and security.

This course is designed for:

  • IT Professionals & System Administrators
  • Cloud Engineers & DevOps Professionals
  • Developers & Data Scientists
  • Cybersecurity Experts
  • Students & Beginners interested in cloud computing

No, prior experience is not required. However, basic IT, networking, or Linux knowledge will help you grasp concepts faster.

This course covers:

  • Google Cloud Fundamentals & Core Services
  • Compute, Storage, Networking & Security on GCP
  • Google Kubernetes Engine (GKE) & Serverless Computing
  • Cloud DevOps & Infrastructure as Code (Terraform, Cloud Build)
  • Big Data, Machine Learning & AI on GCP
  • Hands-on Labs & Real-World Cloud Deployment Projects
  • Concepts & Theoretical Knowledge (GCP Services & Architecture)
  • Hands-on Labs & Practical Scenarios
  • Quizzes & Assignments
  • Capstone Project for Real-world GCP Deployment

This course prepares you for:

  • Google Cloud Digital Leader
  • Google Associate Cloud Engineer
  • Google Professional Cloud Architect
  • Google Professional Security Engineer
  • Google Professional Data Engineer

Yes! This course includes real-world labs, projects, and exercises using the Google Cloud Free Tier.

Some hands-on projects include:

  • Deploying a Web App on Google Cloud Compute Engine
  • Hosting a Static Website on Google Cloud Storage with CDN
  • Building a Serverless API with Cloud Functions & API Gateway
  • Deploying a Kubernetes Cluster on GKE with Auto-scaling
  • Big Data Analytics with BigQuery & Cloud Dataflow
  • Setting Up a Secure Cloud Environment with IAM, VPC & Firewall Rules

After completing this course, you can apply for roles such as:

  • Google Cloud Engineer
  • Cloud Solutions Architect
  • DevOps Engineer
  • Security Engineer (Cloud Security)
  • Data Engineer & AI Specialist

GCP-certified professionals earn between $90,000 – $170,000 per year, depending on experience and job role.

You can schedule an exam through Google Cloud’s Certification Portal or take it online via Kryterion Testing Centers.

Yes! Many companies run bug bounty programs where security researchers get paid for finding and reporting vulnerabilities (e.g., HackerOne, Bugcrowd, Synack).

Classroom Traning

We offer customized VILT (Virtual Instructor-Led Training) sessions at your convenient hours to provide effortless training.

Online Training Class

One can also opt for the prerecorded video sessions available at any point of time from any particular location. 

Corporate Training

Hire a preferred trainer at your work premises at your chosen time slots and train your employees with full efficiency.