In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
课程信息
学生职业成果
43%
完成这些课程后已开始新的职业生涯
50%
通过此课程获得实实在在的工作福利
25%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为17 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Describe best practices for cloud-native application development
Differentiate between data storage options for various types of application data
Implement storage solution for objects (binary and large files) using Cloud Storage.
Implement solution for storing non-relational application data in Cloud Datastore.
您将获得的技能
Cloud StorageData StoreGoogle Cloud PlatformCloud Computing
学生职业成果
43%
完成这些课程后已开始新的职业生涯
50%
通过此课程获得实实在在的工作福利
25%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为17 小时
英语（English）
字幕：英语（English）
提供方
Google 云端平台
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 28 分钟
Welcome - Developing Applications with Google Cloud
This module introduces the specialization and the course structure.
完成时间为 28 分钟
3 个视频 （总计 6 分钟）, 3 个阅读材料
完成时间为 2 小时
Best Practices for Application Development
This module introduces best practices for application development.
完成时间为 2 小时
2 个视频 （总计 24 分钟）
完成时间为 4 小时
Cloud Client Libraries, the Cloud SDK, and Firebase SDKs
This module introduces the Cloud Client Libraries, the Cloud SDK, and Firebase SDKs.
完成时间为 4 小时
5 个视频 （总计 16 分钟）
完成时间为 1 小时
Overview of Data Storage Options
This module introduces the various data storage options available to your applications in Google Cloud.
完成时间为 1 小时
4 个视频 （总计 22 分钟）
完成时间为 5 小时
Best Practices for Using Datastore
This module covers best practices for using Datastore.
完成时间为 5 小时
7 个视频 （总计 41 分钟）
完成时间为 5 小时
Best Practices for Using Cloud Storage
This module covers best practices for using Cloud Storage.
完成时间为 5 小时
8 个视频 （总计 43 分钟）
完成时间为 1 分钟
Wrap Up
This module reviews the concepts covered in the course.
完成时间为 1 分钟
1 个视频 （总计 1 分钟）
审阅
来自GETTING STARTED WITH APPLICATION DEVELOPMENT的热门评论
由 HS 提供May 31, 2020
The course is very well detailed and provide hand on experience for the theory. However I have some feedback on lab, some of the labs are not updated in terms of version of language need to be used.
由 NG 提供Dec 14, 2019
I thought the course was generally good, but too many of the videos felt like they were just dumping information onto me without giving examples that would help make the content more understandable.
由 AV 提供Sep 1, 2020
It is an Amazing Course to learn and grow in life . Thank you Coursera and Google Cloud & Team for giving me this opportunity to learn and make my self better in the filed of Technology .
由 MS 提供May 6, 2020
it's good but it's a bit tedious to replicate everything in node, java and python. Also too much to learn and a lil bit of free roaming on qwiklabs vs railed practices would be awesome.
关于 Developing Applications with Google Cloud Platform 专项课程
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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