Google Cloud Infrastructure for Azure Professionals (GCIAP) – Outline

Detailed Course Outline

Module 1: Resource and Access Management in Google Cloud
  • Google Cloud Resource Hierarchy
  • Identity and Access Management
  • Service Accounts
  • Interacting with Google Cloud
  • Lab: Exploring Identity and Access Management
Module 2: Networking in Google Cloud
  • Networking Concepts in Azure and Google Cloud
  • Virtual Private Cloud Networking
  • Lab: VPC Networking
  • Cloud Routing
  • Interconnecting Networks
  • Lab: Implement Private Google Access and Cloud NAT
Module 3: Virtual Machines in Google Cloud
  • Google Compute Engine
  • Machine Types and Images
  • Spot VMs
  • Lab: Getting Started with Compute Engine
Module 4: Load Balancing and Managed Instance Groups on Google Cloud
  • Load Balancing in Azure and Google Cloud
  • Cloud Load Balancing Features in Google Cloud
  • Managed Instance Groups
  • Lab: Configuring an HTTP Load Balancer with Autoscaling
Module 5: Storage in Google Cloud
  • Overview of Storage and Database Services
  • Cloud Storage
  • Lab: Cloud Storage
  • Managed Database Services
  • Data Lake Options
  • Lab: Implementing Cloud SQL
Module 6: Containers in Google Cloud
  • Containers in Google Cloud
  • Google Kubernetes Engine
  • Kubernetes Concepts and Architecture
  • Lab: Getting Started with Google Kubernetes Engine
  • Deployments and Networking
  • Hybrid and Multi-Cloud Computing with GKE Enterprise
  • Lab: Creating Google Kubernetes Engine Deployments
Module 7: Applications in Google Cloud
  • Developing Applications in Google Cloud
  • Cloud Run Functions
  • Cloud Run
  • Lab: Hello Cloud Run
Module 8: Monitoring in Google Cloud
  • Monitoring in the Cloud
  • Cloud Operations
  • Monitoring GKE Clusters
  • Monitoring Tools in Azure and Google Cloud
  • Lab: Monitoring a Compute Engine VM using Ops Agent