What you will learn in Preparing for Google Cloud Certification: Cloud Developer Professional Certificate Course
- Develop and deploy applications on Google Cloud Platform (GCP)
- Implement cloud-native architectures using containers and microservices
- Build serverless applications with Cloud Functions and App Engine
- Store and manage data using Cloud SQL, Firestore, and Bigtable
- Integrate Google Cloud APIs (Maps, Vision, Natural Language)
- Implement CI/CD pipelines using Cloud Build
- Monitor applications with Cloud Operations suite
Program Overview
Google Cloud Fundamentals
⏱️ 4-5 weeks
- This foundation module covers core GCP services, including Compute Engine, Cloud Storage, and VPC networking. Students deploy their first virtual machines, configure IAM permissions, and set up monitoring alerts.
- Hands-on labs focus on the Google Cloud Console and Cloud Shell environment.
Cloud Application Development
⏱️6-7 weeks
- Focusing on App Engine and Cloud Functions, this section teaches serverless application patterns.
- Students implement Python and Node.js applications, integrate with Cloud Endpoints, and configure automatic scaling.
- Includes API management with Apigee fundamentals.
Containerized Applications
⏱️ 6-8 weeks
- Covering Kubernetes and Cloud Run, this module teaches container deployment strategies.
- Students package applications with Docker, deploy to Google Kubernetes Engine (GKE), and implement service meshes.
- Includes hands-on with kubectl and gcloud commands.
Cloud Data Solutions
⏱️ 5-7 weeks
- This intensive section implements various data storage patterns using Cloud SQL (PostgreSQL/MySQL), Firestore, and Bigtable.
- Students optimize queries, implement caching with Memorystore, and analyze data with BigQuery.
- Includes database migration strategies.
DevOps & Automation
⏱️ 6-8 weeks
- Focusing on production-grade deployments, this module implements CI/CD pipelines with Cloud Build, manages infrastructure as code with Terraform, and configures deployment manager templates.
- Students practice blue-green deployments and canary releases.
Capstone Project
⏱️8-10 weeks
- Students develop a complete cloud-native application implementing all learned services.
- The project includes architecture design, implementation, performance optimization, and cost analysis – culminating in a technical presentation and live demo.
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Job Outlook
- Salary range: 90K160K for Google Cloud Developers
- Industry demand: 30% growth for cloud developer roles
- Top employers: Google Cloud partners, digital natives, enterprises
- Career paths: Cloud Developer → Architect → Solutions Engineer
- Certification value: Prepares for Professional Cloud Developer exam
Explore More Learning Paths
Advance your cloud computing expertise and accelerate your career with these targeted Google Cloud certification programs, designed to expand your technical skills and prepare you for high-demand roles in the industry.
Related Courses
Preparing for Google Cloud Certification: Cloud Architect Professional Certificate Course – Learn to design, plan, and manage scalable cloud architecture on Google Cloud.
Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate en Español Specialization Course – Gain hands-on skills in deploying and managing cloud solutions in Spanish.
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate Course – Master data processing, analytics, and machine learning workflows on Google Cloud.
Related Reading
What Is Management? – Understand the principles of effective cloud and IT management that underpin successful certification outcomes.
Specification: Preparing for Google Cloud Certification: Cloud Developer Professional Certificate Course
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FAQs
- This program is marked as intermediate level, so some programming or cloud familiarity is recommended.
- It’s tailored for aspiring Cloud Developers, not total novices, and best aligns with learners who already hold some development or cloud understanding.
- As part of the 8-course series, you’ll learn:
- How to use Google Cloud deployment environments: App Engine, Cloud Run, Kubernetes Engine (GKE), Compute Engine
- Techniques for monitoring, troubleshooting, and performance optimization in GCP environments
- You’ll also gain hands-on experience with:
- Generative AI, Serverless Computing, CI/CD, Containerization, and IAM—all critical for modern cloud development workflows
- Labs are completed via Qwiklabs, offering realistic, practice-based learning.
- The course is designed to be completed in 8 weeks, at approximately 5 hours per week, and supports self-paced learning.
- The format allows learners to either accelerate their progress or move at a more relaxed pace depending on their schedule and experience.
- Yes—it directly prepares you for the Professional Cloud Developer certification by covering essential services, architecture, and best practices as outlined by Google.
- Though not explicitly stated, participants should follow the official exam guide and sample questions, available from Google, to refine their exam readiness
- Backed by Google Cloud and delivered via Coursera, it translates into a recognized credential demonstrating practical GCP development skills.
- According to Google, certifications lead to faster promotions and are preferred by hiring managers; 80% of employers prefer certified professionals, and 85% of learners say certifications upskill them for in-demand roles
- As with all certification paths, success ultimately depends on hands-on experience and real-world projects, not solely the credential.
Preparing for Google Cloud Certification: Cloud Developer Professional Certificate Course
