The Google Cloud Professional Architect Certification Course is designed to equip learners with the skills and knowledge required to design, develop, and manage robust, secure, and scalable solutions on the Google Cloud Platform (GCP). This comprehensive program covers core GCP services, architecture best practices, and real-world design patterns to prepare participants for the Professional Cloud Architect certification exam. Learners will gain hands-on experience in cloud solution design, cost optimization, security management, and deploying scalable applications while understanding GCP’s infrastructure, networking, and storage options. By the end of the course, participants will be confident in creating efficient cloud architectures that align with organizational goals and industry standards.
Module 1: Introduction to Google Cloud Platform (GCP) Overview of cloud computing and GCP GCP services and architecture Regions, zones, and resource hierarchy Introduction to the Professional Cloud Architect role.
Module 2: Compute Services in GCP Compute Engine, App Engine, and Cloud Functions Kubernetes Engine (GKE) Autoscoring, load balancing, and high availability Hands-on VM and container deployment.
Module 3: Storage and Database Solutions Cloud Storage, Persistent Disks, File store Cloud SQL, Cloud Spanner, Firestone Data lifecycle management and replication strategies.
Module 4: Networking and Security VPCs, subnets, firewalls, and VPNs Load balancers and Cloud CDN Identity and Access Management (IAM) Security best practices, compliance, and encryption.
Module 5: Designing Scalable & Resilient Architectures High availability and disaster recovery strategies Designing fault-tolerant applications Regional and multi-region architecture patterns.
Module 6: Monitoring, Logging & Optimization Stack driver (Cloud Monitoring and Logging) Performance tuning of resources Cost management and budget controls Operational best practices.
Module 7: Big Data & Analytics in GCP Big Query for analytics Dataflow, Daturic, and Pub/Sub Building data pipelines and real-time processing.
Module 8: DevOps & Automation Infrastructure as Code (Terraform, Deployment Manager) CI/CD pipelines using Cloud Build and Cloud Source Repositories Automated deployments and testing in GCP.
Module 9: Migration to Google Cloud Cloud adoption strategies Migrating on-premise workloads to GCP Hybrid and multi-cloud architectures.
Module 10: Exam Preparation & Industry Projects Review of Professional Cloud Architect exam objectives Sample case studies and scenario-based exercises Hands-on industry projects simulating real-world cloud architecture challenges.
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