Preparing for Google Cloud Certification: Cloud Developer Professional Certificate Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview (80-120 words) describing structure and time commitment.

Module 1: Google Cloud Fundamentals

Estimated time: 20 hours

  • Core GCP services: Compute Engine, Cloud Storage, VPC networking
  • Deploying virtual machines and configuring IAM permissions
  • Setting up monitoring alerts using Cloud Operations suite
  • Using Google Cloud Console and Cloud Shell environment

Module 2: Cloud Application Development

Estimated time: 30 hours

  • Building serverless applications with App Engine and Cloud Functions
  • Implementing Python and Node.js applications
  • Integrating with Cloud Endpoints and managing APIs using Apigee
  • Configuring automatic scaling and application performance settings

Module 3: Containerized Applications

Estimated time: 35 hours

  • Containerizing applications with Docker
  • Deploying to Google Kubernetes Engine (GKE)
  • Managing workloads using kubectl and gcloud commands
  • Implementing service meshes and microservices on Kubernetes

Module 4: Cloud Data Solutions

Estimated time: 25 hours

  • Storing data with Cloud SQL, Firestore, and Bigtable
  • Optimizing queries and implementing caching with Memorystore
  • Analyzing data using BigQuery
  • Planning and executing database migration strategies

Module 5: DevOps & Automation

Estimated time: 30 hours

  • Implementing CI/CD pipelines with Cloud Build
  • Managing infrastructure as code using Terraform
  • Configuring Deployment Manager templates
  • Practicing blue-green and canary deployment strategies

Module 6: Final Project

Estimated time: 40 hours

  • Design and develop a production-ready cloud-native application
  • Integrate multiple GCP services including serverless, containers, and data solutions
  • Present architecture, performance optimization, cost analysis, and live demo

Prerequisites

  • Basic programming knowledge in Python or Node.js
  • Familiarity with command-line tools and Linux environment
  • Understanding of fundamental networking concepts

What You'll Be Able to Do After

  • Develop and deploy scalable applications on Google Cloud Platform
  • Build and manage containerized microservices using GKE and Cloud Run
  • Implement serverless architectures with Cloud Functions and App Engine
  • Store, manage, and analyze data using Cloud SQL, Firestore, Bigtable, and BigQuery
  • Automate CI/CD pipelines and infrastructure deployment using Cloud Build and Terraform
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