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