About this Course
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 in 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
What you will learn from this course
Introducing Google Cloud
Google Cloud offers four main kinds of services: Compute,
Storage, Big Data, and Machine Learning. This course focuses mostly on the
first two, together with Google Virtual Private Cloud (VPC) networking. This
module orients learners to the basics of Google Cloud. It traces the evolution
of cloud computing and explains what is unique about Google's approach to it.
The module introduces the key structural concepts of regions and zones.
Getting Started with Google
Cloud Platform
GCP customers use projects to organize the resources they use.
They use Google Cloud Identity and Access Management also called “IAM,” to
control who can do what with those resources. They use any of several
technologies to connect with GCP. This module covers each of these topics, and
it introduces a service called Cloud Launcher that is an easy way to get
started with GCP.
Virtual Machines in the Cloud
Compute Engine lets you run virtual machines on Google’s global
infrastructure. This module covers how Compute Engine works, with a focus on
Google virtual networking.
Storage in the Cloud
Every application needs to store data. Different applications
and workloads require different storage and database solutions. This module
describes and differentiates among GCP's core storage options: Cloud Storage,
Cloud SQL, Cloud Spanner, Cloud Datastore, and Google Bigtable.




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