Google Cloud Fundamentals for Azure Professionals (GCPAZURE)

Module 1 Introducing Google Cloud
Topics

• What is cloud computing?
• Google Cloud Computing architectures
• The Google network
• Google Cloud Regions and Zones
• Google Cloud versus Azure regions and zones
• Open API's
• Multi-layered security approach
• Budgets and Billing

Objectives

• Explain the advantages of Google Cloud
• Define the components of Google's network infrastructure, including: points of presence, data centers, regions, and zones
• Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)

Activities

• 1 quiz

Module 2 Getting Started with Google Cloud
Topics

• Google Cloud resource hierarchy
• Comparison to Azure resource hierarchy
• Identity and Access Management (IAM)
• IAM Roles
• Comparison to Azure AD
• Interacting with Google Cloud
• Cloud Marketplace

Objectives

• Identify the purpose of projects on Google Cloud
• Understand how Azure's resource hierarchy differs from Google Cloud's
• Understand the purpose of and use cases for Identity and Access Management
• Understand how Azure AD differs from Google Cloud IAM
• List the methods of interacting with Google Cloud
• Launch a solution using Cloud Marketplace

Activities

• 1 lab and 1 quiz

Module 3 Virtual Machines in the Cloud
Topics

• Virtual Private Cloud (VPC) Network
• How Azure VNet differs from Google VPC
• Compute Engine
• Comparing Azure VM and Google Compute Engine
• Important VPC Capabilities
• How typical approaches to load-balancing in Google Cloud differ from those in Azure

Objectives

• Identify the purpose and use cases for Google Compute Engine
• Understand the basics of networking in Google Cloud
• Understand how Azure VPC differs from Google VPC
• Understand the similarities and differences between Azure VM and Google Compute Engine
• Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure
• Deploy applications using Google Compute Engine

Activities

• 1 lab and 1 quiz

Module 4 Storage in the Cloud
Topics

• Cloud Storage
• Cloud Storage Interactions
• Comparing Azure Blob Storage with Google Cloud Storage
• Cloud Bigtable
• Cloud SQL and Cloud Spanner
• Cloud Datastore
• Comparing Azure SQL with Google Cloud’s managed database services
• Comparing Storage Options

Objectives

• Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore
• Understand how Azure Blob compares to Cloud Storage
• Compare Google Cloud’s managed database services with Azure SQL
• Learn how to choose among the various storage options on Google Cloud
• Load data from Cloud Storage into BigQuery

Activities

• 1 lab and 1 quiz

Module 5 Containers in the Cloud
Topics

• Containers in the Cloud
• Kubernetes and Kubernetes Engine
• Hybrid and Multi-Cloud
• How Azure Kubernetes Service differ from GKE

Objectives

• Define the concept of a container and identify uses for containers
• Identify the purpose of and use cases for Google Container Engine and Kubernetes
• Understand how Azure Kubernetes Service differs from Google Kubernetes Engine
• Provision a Kubernetes cluster using Kubernetes Engine
• Deploy and manage Docker containers using kubectl

Activities

• 1 lab and 1 quiz

Module 6 Applications in the Cloud
Topics

• App Engine Standard Environment
• App Engine Flexible Environment
• Comparison to Azure App Service
• Cloud Endpoints and Apigee Edge

Objectives

• Understand the purpose of and use cases for Google App Engine
• Contrast the App Engine Standard environment with the App Engine Flexible environment
• Understand how App Engine differs from Azure App Service
• Understand the purpose of and use cases for Google Cloud Endpoints

Activities

• 1 quiz

Module 7 Developing, Deploying and Monitoring in the Cloud
Topics

• Development in the cloud
• Deployment: Infrastructure as code
• How Cloud Deployment Manager differs from Azure Resource Manager
• Monitoring: Proactive instrumentation
• How Cloud Operations differs from Azure application Insights

Objectives

• Understand options for software developers to host their source code
• Understand the purpose of template-based creation and management of resources
• Understand how Google Cloud Deployment Manager differs from Azure Resource Manager
• Understand the purpose of integrated monitoring, alerting, and debugging
• Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics
• Create a Deployment Manager deployment
• Update a Deployment Manager deployment
• View the load on a VM instance using Cloud Monitoring

Activities

• 1 lab and 1 quiz

Module 8 Big Data and Machine Learning in the Cloud
Topics

• Google Cloud Big Data Platform
• Dataflow
• BigQuery
• How BigQuery differs from Azure Data Lake Analytics
• Pub/sub and Datalab
• How Cloud Pub/Sub differs from Azure Events Hub
• Google Cloud Machine Learning Platform
• ML APIs
• How GCP’s machine-learning APIs differ from Azure's

Objectives

• Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
• Understand how Google Cloud BigQuery differs from Azure Data Lake
• Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus
• Understand how Google Cloud’s machine-learning APIs differ from Azure's
• Load data into BigQuery from Cloud Storage
• Perform queries using BigQuery to gain insight into data

Activities

• 1 lab and 1 quiz

Module 9 Summary and Review
Topics

• Course Review
• The Process of migrating from Azure to Google Cloud
• Next Steps

Objectives

• Review the products that make up Google Cloud and remember how to choose among them
• Understand next steps for training and certification
• Understand, at a high level, the process of migrating from Azure to Google Cloud

Activities

• 1 quiz