Google Cloud Platform (GCP)

Course Overview

Master Google Cloud Platform (GCP) fundamentals and advanced services — from compute and networking to data analytics and AI integration — to build scalable, secure, and automated cloud solutions.

Duration: 24 weeks
Rating: 4.8 / 5
5,400+ Students

Detailed Syllabus

1-4: GCP Fundamentals & Core Services

  • Introduction to Cloud Computing and GCP Ecosystem
  • Setting Up GCP Console, SDK, and IAM Roles
  • Understanding Compute Engine and Virtual Machines
  • Networking Basics: VPC, Subnets, and Firewalls
  • Cloud Storage and Cloud SQL Fundamentals
  • Monitoring and Logging with Cloud Operations Suite

Tools: Google Cloud Console, Cloud SDK (gcloud CLI), Compute Engine, Cloud Storage

5-8: Containers, Kubernetes, and Serverless Computing

  • Introduction to Docker and Containerization
  • Google Kubernetes Engine (GKE) Setup and Management
  • Deploying and Scaling Applications on GKE
  • Serverless Architecture using Cloud Run and Cloud Functions
  • Integrating Pub/Sub for Event-Driven Workflows
  • Monitoring and Logging Containerized Apps

Tools: Docker, Kubernetes (GKE), Cloud Run, Cloud Functions, Pub/Sub

9-12: Networking, Security, and IAM

  • VPC Peering, Cloud DNS, and Load Balancing
  • Hybrid Connectivity (VPN, Interconnect)
  • Identity and Access Management (IAM) Deep Dive
  • Security Policies, Firewalls, and Cloud Armor
  • Cloud KMS and Secret Manager
  • Best Practices for Secure GCP Deployments

Tools: VPC Networks, Cloud Armor, Cloud KMS, Secret Manager, IAM Policies

13-16: Data Engineering & Big Data Analytics on GCP

  • Data Ingestion with Cloud Storage and Pub/Sub
  • ETL with Dataflow and Dataprep
  • BigQuery: Querying and Optimizing Large Datasets
  • Data Visualization with Looker Studio
  • Machine Learning with BigQuery ML
  • Cost Optimization and Resource Monitoring

Tools: BigQuery, Dataflow, Dataproc, Looker Studio, BigQuery ML

17-20: DevOps, Automation, and CI/CD on GCP

  • Infrastructure as Code with Terraform
  • Using Cloud Deployment Manager
  • CI/CD Pipelines with Cloud Build and Artifact Registry
  • Automating Deployments to GKE and Cloud Run
  • Observability with Cloud Monitoring & Logging
  • Backup and Disaster Recovery Strategies

Tools: Terraform, Cloud Build, Artifact Registry, Cloud Monitoring, Deployment Manager

21-24: Capstone Project & Certification Preparation

  • Designing Scalable and Secure Cloud Architecture
  • End-to-End Cloud Deployment Project
  • Performance and Cost Optimization Strategies
  • Preparing for Google Cloud Architect Certification
  • Mock Exams and Hands-On Lab Challenges
  • Final Presentation, Feedback & Certification

Tools: Qwiklabs, Google Cloud Skill Boost, Architecture Diagrams, Certification Practice Tests

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