***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
от партнера
Google Cloud
Об этом курсе
4.7
Оценки: 10,984
Чему вы научитесь
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
Приобретаемые навыки
Google Compute EngineGoogle App Engine (GAE)Google Cloud PlatformCloud Computing
Программа курса: что вы изучите
Неделя
11 ч. на завершение
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 видео ((всего 17 мин.)), 3 материалов для самостоятельного изучения, 3 тестов
12 видео
What is cloud computing?1мин
How did we get here?1мин
Every company is a data company26
GCP computing architectures1мин
The Google network44
GCP regions and zones1мин
Environmental responsibility1мин
Pricing innovations1мин
Open APIs1мин
Why choose Google Cloud Platform1мин
Multi-layered security approach3мин
3 материала для самостоятельного изучения
Welcome to Google Cloud Platform Fundamentals: Core Infrastructure10мин
Changes since the last version10мин
How to download course resources2мин
3 практических упражнения
Cloud Computing Services4мин
GCP Regions and Zones4мин
Introducing Google Cloud Platform12мин
1 ч. на завершение
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 видео ((всего 28 мин.)), 4 тестов
8 видео
The Google Cloud Platform resource hierarchy5мин
Identity and Access Management (IAM)2мин
IAM roles3мин
Interacting with Google Cloud Platform4мин
Cloud Marketplace (formerly Cloud Launcher)2мин
Demonstration: Getting Started with Cloud Launcher2мин
Getting Started with Google Cloud Platform and Qwiklabs3мин
3 практических упражнения
The Google Cloud Platform resource hierarchy
Resources and IAM
Getting Started with Google Cloud Platform16мин
1 ч. на завершение
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 видео ((всего 20 мин.)), 4 тестов
5 видео
Virtual Private Cloud (VPC) Network1мин
Compute Engine3мин
Important VPC capabilities7мин
Demonstration: Getting Started with Compute Engine6мин
3 практических упражнения
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking16мин
2 ч. на завершение
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 видео ((всего 35 мин.)), 6 тестов
8 видео
Cloud Storage4мин
Cloud Storage interactions5мин
Google Cloud Bigtable4мин
Google Cloud SQL and Google Cloud Spanner3мин
Google Cloud Datastore1мин
Comparing Storage Options3мин
Demonstration: Getting Started with Cloud Storage and Cloud SQL10мин
5 практических упражнений
Cloud Storage
Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Google Cloud Platform Storage Options16мин
1 ч. на завершение
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 видео ((всего 19 мин.)), 5 тестов
3 видео
Demo and Lab Introduction28
Demo: Getting Started with Kubernetes Engine6мин
4 практических упражнения
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine12мин
1 ч. на завершение
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 видео ((всего 14 мин.)), 4 тестов
5 видео
Google App Engine Standard Environment3мин
Google App Engine Flexible Environment2мин
Google Cloud Endpoints and Apigee Edge3мин
Demonstration: Getting Started with App Engine3мин
3 практических упражнения
App Engine4мин
App Engine Flexible and Standard Environments
Applications in the Cloud12мин
1 ч. на завершение
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 видео ((всего 17 мин.)), 4 тестов
4 видео
Deployment: Infrastructure as code1мин
Monitoring: Proactive instrumentation2мин
Demonstration: Getting Started with Deployment Manager and Stackdriver9мин
3 практических упражнения
Cloud Source Repositories
Quiz shell
Developing, Deploying, and Monitoring in the Cloud10мин
1 ч. на завершение
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 видео ((всего 22 мин.)), 2 тестов
8 видео
Google Cloud Big Data Platform3мин
Cloud Dataflow2мин
BigQuery2мин
Cloud Pub/Sub and Cloud Datalab3мин
Google Cloud Machine Learning Platform3мин
Machine learning APIs2мин
Demonstration: Getting Started with BigQuery2мин
1 практическое упражнение
Big Data and Machine Learning14мин
25 минут на завершение
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 видео ((всего 5 мин.)), 1 тест
1 практическое упражнение
Summary and Review20мин
35%
начал новую карьеру, пройдя эти курсы
38%
получил значимые преимущества в карьере благодаря этому курсу
14%
стал больше зарабатывать или получил повышение
Лучшие рецензии
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.
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
О 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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.
Что я получу, оформив подписку на специализацию?
Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
Какие правила возврата средств?
Можно ли получить финансовую помощь?
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.
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