Capability Development / Cloud Infrastructure
Google Cloud Platform Training for Azure Professionals
This program helps Azure professionals confidently adopt, manage, and architect solutions on Google Cloud Platform by mapping familiar Azure concepts to their GCP equivalents. Participants build hands-on capability across identity and access management, networking, compute, storage, and Kubernetes-based containers through guided labs. The course also covers deployment, monitoring, migration planning, and cost optimization, preparing learners for enterprise multi-cloud responsibilities and Google Cloud certification pathways.
Program Overview
This program helps Azure professionals confidently adopt, manage, and architect solutions on Google Cloud Platform by mapping familiar Azure concepts to their GCP equivalents. Participants build hands-on capability across identity and access management, networking, compute, storage, and Kubernetes-based containers through guided labs. The course also covers deployment, monitoring, migration planning, and cost optimization, preparing learners for enterprise multi-cloud responsibilities and Google Cloud certification pathways.
Audience Profile
Azure administrators, engineers, and architects moving to Google Cloud; Cloud professionals supporting multi-cloud or hybrid-cloud initiatives; IT teams comparing Azure and Google Cloud service models; and Professionals preparing for Google Cloud certification pathways.
Course Syllabus
Module 1: Google Cloud Foundations for Azure Professionals
Topics
- Google Cloud overview and use cases
- Azure-to-GCP service mapping
- Projects, folders, and billing
- Regions and zones
- Console navigation and Cloud Shell
Module 2: IAM, Security, and Governance
Topics
- Google Cloud IAM and custom roles
- Service accounts
- Organization policies
- Shared responsibility model
- Compliance practices for enterprise environments
Labs / Practice
- Create and manage Google Cloud projects, billing alerts, IAM roles, and service accounts
Module 3: Networking and Connectivity
Topics
- VPC networks and subnets
- Firewall rules and routes
- Load balancing
- Cloud DNS
- VPN and Cloud Interconnect
- Comparison with Azure Virtual Network
Module 4: Compute and Scalability
Topics
- Compute Engine and managed instance groups
- Autoscaling and startup scripts
- App Engine and Cloud Run
- Comparison with Azure VMs and App Service
Labs / Practice
- Deploy a secure virtual machine with firewall rules, startup scripts, monitoring, and logging enabled
Module 5: Storage, Databases, and Data Services
Topics
- Cloud Storage, Persistent Disk, and Filestore
- Cloud SQL and Spanner
- BigQuery overview
- Backup and lifecycle rules
- Storage class selection
Labs / Practice
- Build a storage solution using Cloud Storage buckets, lifecycle policies, and access controls
Module 6: Containers and Kubernetes
Topics
- Google Kubernetes Engine deployment
- Workloads, services, and ingress
- Autoscaling containerized workloads
- Container security
- Comparison with Azure Kubernetes Service
Labs / Practice
- Deploy a containerized application on GKE and expose it through a load balancer
Module 7: Deployment, Monitoring, and Operations
Topics
- Cloud Build and Artifact Registry
- CI/CD deployment workflows
- Cloud Monitoring and Cloud Logging
- Alerts and dashboards
- Troubleshooting best practices
Labs / Practice
- Configure Cloud Monitoring dashboards and alerts for production readiness
Module 8: Architecture, Migration, and Cost Optimization
Topics
- Landing zone concepts
- Migration planning priorities
- Workload modernization patterns
- High availability design
- Cost controls, budgets, and labels
- FinOps practices
Labs / Practice
- Design a sample Azure-to-GCP migration plan for an enterprise workload