Google Professional Cloud Architect Prep

Coursera MOOC / Non-credit USD 49
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Google Professional Cloud Architect Prep

About this course

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.

What you'll learn

  • understand GCP infrastructure and cloud service models
  • manage secure and scalable applications
  • apply IAM security practices
  • utilize compute and storage solutions like Cloud SQL and BigQuery
  • implement DevOps workflows
  • work with Docker and microservices

Course objectives

  • prepare for GCP Professional Cloud Architect certification
  • gain practical experience through labs and scenarios
  • learn about compliance and performance tuning
  • develop skills in cost optimization and operational activities

Skills you'll gain

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