Google Cloud Professional Cloud Developer Certification

The Professional Cloud Developer certification demonstrates one’s ability to build, deploy, and maintain scalable, resilient, and secure cloud-native applications on Google Cloud. It validates that you can use GCP’s managed services, developer tooling, and best practices to deliver production-grade solutions.

COURSE BROCHURE DOWNLOAD PDF

168

Buy Certification

Looking for a private batch ?

REQUEST A CALLBACK

What is Google Cloud Professional Cloud Developer Certification about?

Designing cloud-native architectures using containers, serverless, and microservices
Building and testing applications with CI/CD pipelines
Deploying applications across various compute environments (App Engine, Cloud Run, GKE, etc.)
Integrating with GCP services (databases, messaging, storage, APIs)
Monitoring, tracing, debugging and optimizing application performance
Ensuring security, reliability, and observability in deployed applications

What are the objectives of Google Cloud Professional Cloud Developer Certification ?

Design Cloud-Native Applications - Build applications leveraging containers, microservices, serverless patterns, and autoscaling.
Implement CI/CD & Automation - Use tools like Cloud Build, Cloud Source Repositories, Cloud Deploy to automate build-test-deploy workflows.
Deploy Across Compute Environments - Deploy and manage apps in App Engine, Cloud Run, GKE (Kubernetes), or Compute Engine, with proper configuration handling.
Integrate with GCP Services - Use managed storage, database, messaging, and API services (e.g. Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, API Gateway).
Ensure Security, IAM & Access Controls - Apply principle of least privilege, service accounts, and identity setups to protect application components.
Monitor, Debug & Observe - Use Cloud Monitoring, Logging, Trace, Error Reporting, and other observability tools to detect issues and optimize performance.
Troubleshoot & Optimize - Diagnose performance bottlenecks, choose appropriate scaling or caching strategies, manage resource usage effectively.

Who is Google Cloud Professional Cloud Developer Certification for?

Software developers transitioning to cloud-native / microservices architectures
Backend engineers wanting to validate GCP application development skills
DevOps engineers who focus on application delivery pipelines
Engineers working on integrating applications with GCP managed services
Tech leads or architects who want to show competence in cloud application development

What are the prerequisites for Google Cloud Professional Cloud Developer Certification?

While there is no mandatory pre-exam requirement, it’s strongly recommended to have:

3+ years of industry experience (software development)
1+ year of hands-on experience building applications on Google Cloud
Proficiency in at least one general-purpose programming language
Experience with CI/CD tooling, containers, serverless, microservices
Familiarity with GCP services (Compute, Storage, IAM, Networking, Databases)

Google Cloud Professional Cloud Developer Certification - Certification & Exam

Prepare for the exam by completing this course: Professional Cloud Developer

Certification Outline:

Section 1 - Designing highly scalable, available, and reliable cloud-native applications

Microservices / service decomposition
Choosing the right compute platform (Cloud Run, GKE, App Engine, etc.)
API design (REST, gRPC)
Caching, session management, state handling
Traffic management: A/B testing, canary deployments, blue/green deployments
Load balancing, autoscaling, failure domains, regional vs zonal design

Section 2 - Building and testing applications

Local development, emulators & mocking cloud services
Unit, integration, end-to-end testing strategies in cloud context
CI/CD pipelines, artifact management, build automation

Section 3 - Deploying applications to Google Cloud

Deployment mechanisms to App Engine, Cloud Run, GKE, Compute Engine
Configuration and secrets management, environment variables
Versioning, rollback, release strategies

Section 4 - Integrating application with Google Cloud services

Storage & data: Cloud Storage, SQL, NoSQL (Firestore, Bigtable), Spanner
Messaging & streaming: Pub/Sub, Eventarc, Cloud Tasks
APIs & API Gateway / Endpoints, service mesh considerations
External integrations, third-party APIs