Google Cloud Infrastructure for AWS Professionals Specialization Course Syllabus

A fast-paced, four-course specialization designed for AWS professionals seeking fluency in Google Cloud Platform. Through direct service comparisons and hands-on labs using Qwiklabs, learners gain practical experience in core infrastructure, compute, storage, and operations. The entire program takes approximately 30 hours to complete and is structured to help AWS engineers quickly map their existing knowledge to GCP services, enabling smooth multi-cloud adoption.

Module 1: IAM & Networking

Estimated time: 3 hours

• Resource hierarchy in Google Cloud vs AWS Organizations
• Google Cloud IAM roles and permissions compared to AWS IAM
• VPCs, subnets, and firewall rules: GCP and AWS differences
• VPN and VPC peering configurations across clouds

Module 2: Compute & Scalability

Estimated time: 3 hours

• Compute Engine vs EC2: instance types and management
• Machine images and instance templates vs AWS AMIs
• Managed instance groups and autoscaling configurations
• Global and regional load balancing compared to AWS ELB

Module 3: Storage & Containers

Estimated time: 16 hours

• Cloud Storage vs S3: buckets, classes, and access controls
• Container Registry vs ECR: storing and managing container images
• GKE vs EKS/ECS: Kubernetes orchestration in GCP and AWS
• Deploying and managing containerized applications on GKE

Module 4: Deploy & Monitor

Estimated time: 8 hours

• CI/CD pipelines in Google Cloud vs AWS Code services
• Monitoring and alerting with Stackdriver vs CloudWatch
• Logging, metrics, and traces in Operations suite
• Security and audit logging with Cloud Audit Logs vs CloudTrail

Prerequisites

• Familiarity with core AWS services including IAM, EC2, S3, and VPC
• Basic understanding of cloud networking and identity management
• Experience with containerization concepts (e.g., Docker, Kubernetes) recommended

What You'll Be Able to Do After

• Map AWS services and architectures to their Google Cloud equivalents
• Design and deploy secure and scalable infrastructure on GCP
• Configure and manage virtual machines, networks, and firewalls in GCP
• Deploy containerized applications using GKE and Container Registry
• Implement monitoring, logging, and alerting solutions in GCP