Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
4.8 /5- Offered byCoursera
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure at Coursera Overview
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure at Coursera Course details
- This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
- Note:
- ?Google services are currently unavailable in China.
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure at Coursera Curriculum
Introducing Google Cloud Platform
Welcome to Google Cloud Fundamentals for Azure Professionals
What is cloud computing?
How did we get here?
Every company is a data company
GCP computing architectures
The Google network
GCP regions and zones
Environmental responsibility
How Google Cloud differs from Azure: Regions and Zones
Google offers customer-friendly pricing
Open APIs
Multi-layered security approach
Why choose Google Cloud Platform
Budgets and Billing
Welcome to Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
How to download course resources
Cloud Computing Services
GCP Regions and Zones
Introducing Google Cloud Platform
Module introduction
The Google Cloud Platform resource hierarchy
Comparison to Azure : resource hierarchy
Identity and Access Management (IAM)
IAM roles
Comparison to Azure Active Directory
Interacting with Google Cloud Platform
Cloud Marketplace
Getting start with Cloud Marketplace
Getting Started with Google Cloud and Qwiklabs
The Google Cloud Platform resource hierarchy
Resources and IAM
Getting Started with Google Cloud Platform
Module Introduction
Virtual Private Cloud (VPC) Network
How Google VPC differs from Azure VNet
Compute Engine
Comparing Google Compute Engine and Azure VM
Important VPC capabilities
How typical approaches to load-balancing in Google Cloud differ from those in Azure
Demonstration: Getting Started with Compute Engine
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking
Introduction to Google Cloud Platform Storage Options
Cloud Storage
Cloud Storage interactions
Comparing Google Cloud Storage with Azure Blob Storage.
Google Cloud Bigtable
Google Cloud SQL and Google Cloud Spanner
Google Cloud Datastore
Comparing Google Cloud's managed database services with Azure SQL
Comparing Storage Options
Demonstration: Getting Started with Cloud Storage and Cloud SQL
Cloud Storage
Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Google Cloud Platform Storage Options
Containers, Kubernetes, and Kubernetes Engine
Introduction to Kubernetes and GKE
Introduction to Hybrid and Multi-Cloud Computing (Anthos)
How GKE differs from Azure Kubernetes Service
Lab Introduction: Getting Started with Kubernetes Engine
Demonstration: Getting Started with Kubernetes Engine
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine
Module introduction; introduction to App Engine
Google App Engine Standard Environment
Google App Engine Flexible Environment
Comparing App Engine to Azure App Service
Google Cloud Endpoints and Apigee Edge
App Engine
App Engine Flexible and Standard Environments
Applications in the Cloud
Development in the cloud
Deployment: Infrastructure as code
How Cloud Deployment Manager differs from Azure Resource Manager
Monitoring: Proactive instrumentation
How Stackdriver differs from Azure application Insights
Demonstration: Getting Started with Deployment Manager and Stackdriver
Development in the cloud
Cloud Functions
Developing, Deploying, and Monitoring in the Cloud
Introduction to Big Data and Machine Learning
Google Cloud Big Data Platform
Cloud Dataflow
BigQuery
How BigQuery differs from Azure Data Lake Analytics
Cloud Pub/Sub and Cloud Datalab
How Cloud Pub/Sub differs from Azure Events Hub
Google Cloud Machine Learning Platform
Machine learning APIs
How GCP?s machine-learning APIs differ from Azure's
Demonstration: Getting Started with BigQuery
Big Data and Machine Learning
Review
The Process of migrating from Azure to Google Cloud
Next steps
Summary and Review
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