***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $180! See below for 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.
SPECIALIZATION COMPLETION CHALLENGE
As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for the 'Infrastructure' specializations.
Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $180 value given there are 6 courses in the Architecting with GCP specialization).
You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles.
Your challenge awaits – begin learning on Coursera today!
Note:
•Google services are currently unavailable in China.
Google Cloud Platform Fundamentals: Core Infrastructure
Offered By
Google Cloud
About this Course
4.7
11,116 ratings
What you will learn
Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
Describe ways in which customers have used Google Cloud Platform
Identify the purpose and value of Google Cloud Platform products and services
Interact with Google Cloud Platform services
Make basic use of BigQuery, Google’s managed data warehouse for analytics
Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system
Skills you will gain
Google Compute EngineGoogle App Engine (GAE)Google Cloud PlatformCloud Computing
Syllabus - What you will learn from this course
Week
11 hour to complete
Introducing Google Cloud Platform
Google Cloud Platform 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 Platform. 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.
12 videos (Total 17 min), 3 readings, 3 quizzes
12 videos
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
Pricing innovations1m
Open APIs1m
Why choose Google Cloud Platform1m
Multi-layered security approach3m
3 readings
Welcome to Google Cloud Platform Fundamentals: Core Infrastructure10m
Changes since the last version10m
How to download course resources2m
3 practice exercises
Cloud Computing Services4m
GCP Regions and Zones4m
Introducing Google Cloud Platform12m
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.
8 videos (Total 28 min), 4 quizzes
8 videos
The Google Cloud Platform resource hierarchy5m
Identity and Access Management (IAM)2m
IAM roles3m
Interacting with Google Cloud Platform4m
Cloud Marketplace (formerly Cloud Launcher)2m
Demonstration: Getting Started with Cloud Launcher2m
Getting Started with Google Cloud Platform and Qwiklabs3m
3 practice exercises
The Google Cloud Platform resource hierarchy
Resources and IAM
Getting Started with Google Cloud Platform16m
1 hour 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.
5 videos (Total 20 min), 4 quizzes
5 videos
Virtual Private Cloud (VPC) Network1m
Compute Engine3m
Important VPC capabilities7m
Demonstration: Getting Started with Compute Engine6m
3 practice exercises
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking16m
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.
8 videos (Total 35 min), 6 quizzes
8 videos
Cloud Storage4m
Cloud Storage interactions5m
Google Cloud Bigtable4m
Google Cloud SQL and Google Cloud Spanner3m
Google Cloud Datastore1m
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 Options16m
1 hour 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.
3 videos (Total 19 min), 5 quizzes
3 videos
Demo and Lab Introduction28s
Demo: Getting Started with Kubernetes Engine6m
4 practice exercises
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine12m
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.
5 videos (Total 14 min), 4 quizzes
5 videos
Google App Engine Standard Environment3m
Google App Engine Flexible Environment2m
Google Cloud Endpoints and Apigee Edge3m
Demonstration: Getting Started with App Engine3m
3 practice exercises
App Engine4m
App Engine Flexible and Standard Environments
Applications in the Cloud12m
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.
4 videos (Total 17 min), 4 quizzes
4 videos
Deployment: Infrastructure as code1m
Monitoring: Proactive instrumentation2m
Demonstration: Getting Started with Deployment Manager and Stackdriver9m
3 practice exercises
Cloud Source Repositories
Quiz shell
Developing, Deploying, and Monitoring in the Cloud10m
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.
8 videos (Total 22 min), 2 quizzes
8 videos
Google Cloud Big Data Platform3m
Cloud Dataflow2m
BigQuery2m
Cloud Pub/Sub and Cloud Datalab3m
Google Cloud Machine Learning Platform3m
Machine learning APIs2m
Demonstration: Getting Started with BigQuery2m
1 practice exercise
Big Data and Machine Learning14m
25 minutes 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.
2 videos (Total 5 min), 1 quiz
1 practice exercise
Summary and Review20m
35%
started a new career after completing these courses
38%
got a tangible career benefit from this course
14%
got a pay increase or promotion
Top Reviews
This course is useful for those who wants to explorer google cloud platform\n\ne.g: what database engine should I use?\n\nwhat is more cost efficient for our application, Compute engine or App engine
Great course to introduce the specialization. It could be more robust, but it does the job and you are also provided with links for documents that will help you build on what you learn in the course.
About 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.
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 subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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?
Is financial aid available?
Am I eligible for the Google Cloud Platform free trial?
To be eligible for the free trial, you will need:
- Google account (Google is currently blocked in China)
- Credit card or bank account
- Terms of service
Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602
More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/
What if I have already used up my Google Cloud Platform free trial?
If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.
How does the free trial work?
View this page for more details: https://cloud.google.com/free-trial/docs/
Is this course similar to CP100A?
Yes, this online course is based on the instructor-led training formerly known as CP100A.
More questions? Visit the Learner Help Center.
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