Google Cloud Platform Fundamentals for AWS Professionals
- Offered byCoursera
Google Cloud Platform Fundamentals for AWS Professionals at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Google Cloud Platform Fundamentals for AWS Professionals at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 13 hours to complete
- English Subtitles: English, Spanish, Russian, French
Google Cloud Platform Fundamentals for AWS Professionals at Coursera Course details
- This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.
- Learning Objectives
- This course teaches participants the following skills:
- ? Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more
- ? 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
- ? Locate documentation and training.
- Prerequisites
- To get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.
Google Cloud Platform Fundamentals for AWS Professionals at Coursera Curriculum
Introducing Google Cloud
What's new?
Welcome to Google Cloud Fundamentals for AWS 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 AWS: 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 Platform Fundamentals: Core Infrastructure
How to download course resources
Cloud Computing Services
GCP Regions and Zones
Introducing Google Cloud Platform
Getting Started with Google Cloud Platform
Module introduction
The Google Cloud Platform resource hierarchy
Comparison to AWS : resource hierarchy
Identity and Access Management (IAM)
IAM roles
Comparison to AWS IAM
Interacting with Google Cloud Platform
Cloud Marketplace
Demonstration: Getting Started 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
Virtual Machines in the Cloud
Module Introduction
Virtual Private Cloud (VPC) Network
How Google Cloud VPC differs from AWS VPC
Compute Engine
Comparing Compute Engine and Amazon EC2
Important VPC capabilities
How typical approaches to load-balancing in Google Cloud differ from those in AWS
Demonstration: Getting Started with Compute Engine
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking
Storage in the Cloud
Introduction to Google Cloud Platform Storage Options
Cloud Storage
Cloud Storage interactions
Comparing Cloud Storage with Amazon S3 and Amazon Glacier
Google Cloud Bigtable
Cloud SQL and Cloud Spanner
Google Cloud Datastore
Comparing Google Cloud's managed database services with Amazon RDS and Amazon Aurora
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 in the Cloud
Containers, Kubernetes, and Kubernetes Engine
Introduction to Kubernetes and GKE
Introduction to Hybrid and Multi-Cloud Computing (Anthos)
How GKE differs from Amazon Elastic Container Service and Amazon Elastic Kubernetes Service
Lab Introduction - Getting Started with Kubernetes Engine
Demo: Getting Started with Kubernetes Engine
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine
Applications in the Cloud
Module introduction; introduction to App Engine
Google App Engine Standard Environment
Google App Engine Flexible Environment
How App Engine differs from Amazon Elastic Beanstalk
Google Cloud Endpoints and Apigee Edge
App Engine
App Engine Flexible and Standard Environments
Applications in the Cloud
Developing, Deploying and Monitoring in the Cloud
Development in the cloud
Deployment: Infrastructure as code
How Cloud Deployment Manager differs from AWS CloudFormation
Monitoring: Proactive instrumentation
How Stackdriver differs from Amazon CloudWatch and AWS CloudTrail
Demonstration: Getting Started with Deployment Manager and Stackdriver
Development in the cloud
Cloud Functions
Developing, Deploying, and Monitoring in the Cloud
Big Data and Machine Learning in the Cloud
Introduction to Big Data and Machine Learning
Google Cloud Big Data Platform
Cloud Dataflow
BigQuery
How BigQuery differs from Amazon Redshift
Cloud Pub/Sub and Cloud Datalab
How Cloud Pub/Sub differs from Amazon SQS
Google Cloud Machine Learning Platform
Machine learning APIs
How GCP?s machine-learning APIs differ from AWS?s
Demonstration: Getting Started with BigQuery
Big Data and Machine Learning
Summary and Review
Review
The Process of migrating from AWS to Google Cloud
Next steps
Summary and Review