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. Prerequisites and prework: • Completed Google Cloud Platform Fundamentals or have equivalent experience • Working knowledge of Node.js, Java, or Python • Basic proficiency with command-line tools and Linux operating system environments
本課程是 Developing Applications with Google Cloud Platform 專項課程 專項課程的一部分
Getting Started With Application Development
提供方
課程信息
48,656 次近期查看
Learner Career Outcomes
50%
完成這些課程後已開始新的職業生涯
56%
通過此課程獲得實實在在的工作福利
12%
加薪或升職
您將學到的內容有
Describe best practices for cloud-native application development.
Differentiate between data storage options for various types of application data. Data storage options include Google Cloud Storage, Google Cloud Datastore, Google Cloud Bigtable, Google Cloud SQL, Cloud Spanner, Google BigQuery.
Implement solution for storing non-relational application data in Cloud Datastore.
Implement storage solution for objects (binary and large files) using Cloud Storage.
您將獲得的技能
Cloud StorageData StoreGoogle Cloud PlatformCloud Computing
Learner Career Outcomes
50%
完成這些課程後已開始新的職業生涯
56%
通過此課程獲得實實在在的工作福利
12%
加薪或升職
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為8 小時
建議：1 week of study, 8-10 hours/week
英語（English）
字幕：英語（English）
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 28 分鐘
Introduction to Getting Started With Application Development
This module introduces the specialization and the course structure.
3 個視頻 （總計 6 分鐘）, 3 個閱讀材料
3 個閱讀材料
Course Information10分鐘
How to download course resources2分鐘
How to Send Feedback10分鐘
完成時間為 1 小時
Best Practices for Application Development
This module introduces best practices for application development.
2 個視頻 （總計 24 分鐘）, 2 個測驗
2 個練習
Practice Quiz: Best Practices for Application Development30分鐘
Final Quiz: Best Practices for Application Development30分鐘
完成時間為 4 小時
Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
This module introduces the Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK.
5 個視頻 （總計 16 分鐘）, 5 個測驗
5 個視頻
Demo: API Explorer Walkthrough3分鐘
Getting Started with Google Cloud Platform and Qwiklabs3分鐘
Lab Overview21
Module Review49
2 個練習
Practice Quiz: Google Cloud SDK, Google Cloud Client Libraries, & Firebase SDK30分鐘
Final Quiz: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK30分鐘
完成時間為 1 小時
Data Storage Options
This module introduces the various data storage options available to your applications in GCP.
4 個視頻 （總計 25 分鐘）, 1 個測驗
4 個視頻
BigQuery, Microsoft SQL Server images on GCP, and Firebase Storage Options2分鐘
Demo: Connecting Securely to a Cloud SQL Database7分鐘
Module Review1分鐘
1 個練習
Final Quiz: Data Storage Options30分鐘
完成時間為 5 小時
Best Practices for Using Cloud Datastore
This module covers best practices for using Cloud Datastore.
7 個視頻 （總計 41 分鐘）, 5 個測驗
7 個視頻
Demo: Explore Cloud Datastore14分鐘
Design Considerations & Sharding3分鐘
Replication, Query Types, Transactions, and Handling Errors5分鐘
Demo: Use Cloud Dataflow to bulk-load data into Cloud Datastore8分鐘
Lab Overview1分鐘
Module Review1分鐘
2 個練習
Practice Quiz: Best Practices for Using Cloud Datastore30分鐘
Final Quiz: Best Practices for Using Cloud Datastore30分鐘
完成時間為 5 小時
Best Practices for Using Cloud Storage
This module covers best practices for using Cloud Storage.
7 個視頻 （總計 37 分鐘）, 5 個測驗
7 個視頻
Demo: Explore Cloud Storage11分鐘
Bucket / Object Operations and Truncated Exponential Backoff4分鐘
Demo: Enable CORS configuration in Cloud Storage5分鐘
Best Practices for Cloud Storage11分鐘
Lab Overview21
Module Review50
2 個練習
Practice Quiz: Best Practices for Cloud Storage30分鐘
Final Quiz: Best Practices for Cloud Storage30分鐘
完成時間為 1 分鐘
Wrap Up
This module reviews the concepts covered in the course.
1 個視頻 （總計 1 分鐘）
1 個視頻
4.5
165 條評論來自Getting Started With Application Development的熱門評論
t was a good free course. I only realised the second time round the labs are ungraded. So I plan on doing them outside Coursera on Qwiklabs itself so I can earn credits for my lab work.
You can gain a certificate just by clicking through the tests that are aimed on imbecils. Now I understand where all those "Certified cloud specialists" are from.
關於 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.
關於 Developing Applications with Google Cloud Platform 專項課程
In this specialization, application developers learn how to design, develop, and deploy 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 use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. earners can choose to complete labs in their favorite language: Node.js, Java, or Python.
This class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.
This course teaches participants the following skills:
• Use best practices for application development.
• Choose the appropriate data storage option for application data.
• Implement federated identity management.
• Develop loosely coupled application components or microservices.
• Integrate application components and data sources.
• Debug, trace, and monitor applications.
• Perform repeatable deployments with containers and deployment services.
• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.
常見問題
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在您注册且班次开课之后，您将可以访问所有视频和其他资源，包括阅读材料内容和课程论坛。您将能够查看和提交练习作业，并完成所需的评分作业以获得成绩和课程证书。
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我为什么不能旁听此课程？
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
退款政策是如何规定的？
有助学金吗？
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