This 1-day Google Cloud Fundamentals for Azure Professionals instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

Upon completion of the Google Cloud Fundamentals for Azure Professionals course, students will be able to:

• Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake
• Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
• Manage and monitor applications
• Explain feature and pricing model differences

• Individuals planning to deploy applications and create application environments on Google Cloud.
• Developers, systems operations professionals, and solution architects getting started with Google Cloud.
• Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.

• Have basic proficiency with networking technologies like subnets and routing
• Have basic proficiency with command-line tools
• Have experience with Microsoft Azure and IIS

1 day

Module 1 Introducing Google Cloud

• 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).

Module 2 Getting Started with Google Cloud

• 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.

Module 3 Virtual Machines in the Cloud

• 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.

Module 4 Storage in the Cloud

• 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.

Module 5 Containers in the Cloud

• 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 from Google Kubernetes Engine.
• Provision a Kubernetes cluster using Kubernetes Engine.
• Deploy and manage Docker containers using kubectl.

Module 6 Applications in the Cloud

• 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.

Module 7 Developing, Deploying and Monitoring in the Cloud

• 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 Google Monitoring.

Module 8 Big Data and Machine Learning in the Cloud

• 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.

Module 9 Summary and Review

• 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.