Advance your career with this Google Cloud Professional Architect Prep Specialization developed exclusively for experienced IT professionals, cloud engineers, and emerging solution architects. This specialization will teach you to build and manage secure, scalable applications on Google Cloud.
The course begins with cloud computing essentials, GCP infrastructure, IAM security, and cloud service models, then progresses to Compute Engine, VM instances, storage solutions, load balancing, and autoscaling. You will become proficient in App Engine, Cloud Functions, Cloud Run, Docker, microservices, and GKE, along with IAM, VPCs, firewall rules, KMS, and storage security.
The data and analytics section includes Cloud SQL, Spanner, FireStore, Bigtable, BigQuery, Pub/Sub, DataFlow, Data Proc, and DevOps Workflows. You will also learn about architecture, operational activities, compliance, performance tuning, and cost optimization.
This GCP Architect Certification prep specialization stands out with a hands-on, real-world, architect-centric focus where practical labs and scenarios mirror production workloads, preparing you for GCP Professional Cloud Architect roles with salaries ranging from $120k–$180k+.
Disclaimer: This course is not affiliated with or endorsed by Google Cloud. ‘Google Cloud’ and ‘GCP’ are trademarks of Google LLC.
Applied Learning Project
During this GCP Professional Architect training, you will have hands-on experience through multiple demonstrations like:
Creating a GCP account and navigating the interface
Navigating GCP services and web console
Getting started with Cloud Shell and setting up GCP basics
Enabling service APIs and configuring billing alerts
Provisioning VM instances, startup scripts, persistent disks, and managed instance groups
Configuring HTTP(S) Load Balancers
AppEngine, Cloud Functions and Deployment Manager for application deployment.
Building Kubernetes clusters, with GKE Autopilot, Container Registry and Cloud Build
IAM roles, service accounts, VPCs, subnets firewall rules and VPN.
Managing Databases with CloudSQL, Cloud Spanner, DataStore and Bigtable
Creating DataProc Cluster, Pub/Sub topics, & Run a Query With BigQuery
Storing code in Cloud Source Repositories Monitoring using Cloud Monitoring and Audit Logs
