Offered By

Google Cloud Platform Fundamentals for AWS Professionals

Google Cloud

About this Course

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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.

Learner Career Outcomes

33%

started a new career after completing these courses

33%

got a tangible career benefit from this course

17%

got a pay increase or promotion

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

Skills you will gain

Load BalancingGoogleGoogle Cloud PlatformCloud Computing

Learner Career Outcomes

33%

started a new career after completing these courses

33%

got a tangible career benefit from this course

17%

got a pay increase or promotion

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

Instructor

Instructor rating

4.69/5 (76 Ratings)

Google Cloud Training

755,822 Learners

196 Courses

Offered by

Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Syllabus - What you will learn from this course

Content Rating91%(1,765 ratings)

Week

Week 1

1 hour to complete

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.

1 hour to complete

15 videos (Total 22 min), 2 readings, 3 quizzes

15 videos

What's new?40s

Welcome to Google Cloud Fundamentals for AWS Professionals1m

What is cloud computing?1m

How did we get here?1m

Every company is a data company26s

GCP computing architectures1m

The Google network44s

GCP regions and zones1m

Environmental responsibility1m

How Google Cloud differs from AWS: Regions and Zones1m

Google offers customer-friendly pricing1m

Open APIs1m

Multi-layered security approach3m

Why choose Google Cloud Platform1m

Budgets and Billing2m

2 readings

Welcome to Google Cloud Platform Fundamentals: Core Infrastructure10m

How to download course resources2m

3 practice exercises

Cloud Computing Services4m

GCP Regions and Zones4m

Introducing Google Cloud Platform30m

Week

Week 2

1 hour to complete

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.

1 hour to complete

10 videos (Total 34 min)

10 videos

Module introduction2m

The Google Cloud Platform resource hierarchy5m

Comparison to AWS : resource hierarchy3m

Identity and Access Management (IAM)2m

IAM roles3m

Comparison to AWS IAM1m

Interacting with Google Cloud Platform4m

Cloud Marketplace1m

Demonstration: Getting Started with Cloud Marketplace2m

Getting Started with Google Cloud and Qwiklabs4m

3 practice exercises

The Google Cloud Platform resource hierarchy

Resources and IAM

Getting Started with Google Cloud Platform30m

Week

Week 3

2 hours to complete

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.

2 hours to complete

8 videos (Total 29 min)

8 videos

Module Introduction46s

Virtual Private Cloud (VPC) Network1m

How Google Cloud VPC differs from AWS VPC1m

Compute Engine3m

Comparing Compute Engine and Amazon EC24m

Important VPC capabilities7m

How typical approaches to load-balancing in Google Cloud differ from those in AWS2m

Demonstration: Getting Started with Compute Engine5m

3 practice exercises

Virtual Private Cloud (VPC) Network

Compute Engine

Google Compute Engine and Networking30m

Week

Week 4

2 hours to complete

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.

2 hours to complete

10 videos (Total 40 min)

10 videos

Introduction to Google Cloud Platform Storage Options50s

Cloud Storage4m

Cloud Storage interactions5m

Comparing Cloud Storage with Amazon S3 and Amazon Glacier2m

Google Cloud Bigtable4m

Cloud SQL and Cloud Spanner3m

Google Cloud Datastore1m

Comparing Google Cloud's managed database services with Amazon RDS and Amazon Aurora3m

Comparing Storage Options3m

Demonstration: Getting Started with Cloud Storage and Cloud SQL10m

5 practice exercises

Cloud Storage

Cloud Bigtable

Cloud SQL and Cloud Spanner

Cloud Datastore

Google Cloud Platform Storage Options30m

Week

Week 5

2 hours to complete

Containers in the Cloud

Containers are simple and interoperable, and they enable seamless, fine-grained scaling. Kubernetes is an orchestration layer for containers. Kubernetes Engine is Kubernetes as a service, a scalable managed offering that runs on Google’s infrastructure. You direct the creation of a cluster, and Kubernetes Engine schedules your containers into the cluster and manages them automatically, based on requirements you define. This module explains how Kubernetes Engine works and how it helps deploy applications in containers.

2 hours to complete

6 videos (Total 37 min)

6 videos

Containers, Kubernetes, and Kubernetes Engine8m

Introduction to Kubernetes and GKE12m

Introduction to Hybrid and Multi-Cloud Computing (Anthos)7m

How GKE differs from Amazon Elastic Container Service and Amazon Elastic Kubernetes Service2m

Lab Introduction - Getting Started with Kubernetes Engine35s

Demo: Getting Started with Kubernetes Engine6m

4 practice exercises

Containers

Kubernetes

Kubernetes Engine

Containers, Kubernetes, and Kubernetes Engine30m

Week

Week 6

1 hour to complete

Applications in the Cloud

App Engine is a Platform-as-a-Service ("PaaS") offering. The App Engine platform manages the hardware and networking infrastructure required to run your code. App Engine provides built-in services that many web applications need. This module describes how App Engine works.

1 hour to complete

5 videos (Total 13 min)

5 videos

Module introduction; introduction to App Engine1m

Google App Engine Standard Environment3m

Google App Engine Flexible Environment2m

How App Engine differs from Amazon Elastic Beanstalk2m

Google Cloud Endpoints and Apigee Edge3m

3 practice exercises

App Engine30m

App Engine Flexible and Standard Environments

Applications in the Cloud30m

Week

Week 7

1 hour to complete

Developing, Deploying and Monitoring in the Cloud

Popular tools for development, deployment, and monitoring just work in GCP. Customers also have options for tools in each of these three areas that are tightly integrated with GCP. This module covers those tools.

1 hour to complete

6 videos (Total 23 min)

6 videos

Development in the cloud3m

Deployment: Infrastructure as code1m

How Cloud Deployment Manager differs from AWS CloudFormation2m

Monitoring: Proactive instrumentation2m

How Stackdriver differs from Amazon CloudWatch and AWS CloudTrail3m

Demonstration: Getting Started with Deployment Manager and Stackdriver9m

3 practice exercises

Development in the cloud

Cloud Functions

Developing, Deploying, and Monitoring in the Cloud30m

Week

Week 8

1 hour to complete

Big Data and Machine Learning in the Cloud

GCP's big-data and machine learning offerings are intended to help customers get the most out of data. These tools are intended to be simple and practical to embed in your applications. This module describes the available big-data and machine learning services and explains the usefulness of each.

1 hour to complete

11 videos (Total 29 min)

11 videos

Introduction to Big Data and Machine Learning51s

Google Cloud Big Data Platform3m

Cloud Dataflow2m

BigQuery2m

How BigQuery differs from Amazon Redshift2m

Cloud Pub/Sub and Cloud Datalab3m

How Cloud Pub/Sub differs from Amazon SQS3m

Google Cloud Machine Learning Platform3m

Machine learning APIs2m

How GCP’s machine-learning APIs differ from AWS’s1m

Demonstration: Getting Started with BigQuery2m

1 practice exercise

Big Data and Machine Learning30m

Week

Week 9

1 hour to complete

Summary and Review

This module reviews the GCP services covered in this course and reminds learners of the differences among them. The module compares GCP compute services, GCP storage services, and important Google VPC networking capabilities.

1 hour to complete

3 videos (Total 6 min)

3 videos

Review4m

The Process of migrating from AWS to Google Cloud1m

Next steps28s

1 practice exercise

Summary and Review30m

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

More questions? Visit the Learner Help Center.