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Python for Google App Engine

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Python for Google App Engine

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Persist and manage data in the cloud using the NDB Python API

  • Run asynchronous tasks with task queues and Cron

  • Set up and manage a MySQL server instance on Cloud SQL

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Recently updated!

December 2025

Assessments

8 assignments

Taught in English

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There are 8 modules in this course

In this section, we explore cloud computing models SaaS, PaaS, and IaaS, set up Google Cloud Platform, and deploy a Python application on App Engine for scalable web services.

What's included

2 videos8 readings1 assignment

In this section, we implement user authentication, store data in Google Cloud Datastore, and generate HTML pages using templates.

What's included

1 video4 readings1 assignment

In this section, we explore uploading, storing, and serving large files using Google Cloud Storage, along with processing long tasks via task queues for efficient application performance.

What's included

1 video7 readings1 assignment

In this section, we explore optimizing application performance using Datastore queries, Memcache for transient data, and the Modules service for application structure.

What's included

1 video6 readings1 assignment

In this section, we create and configure a Cloud SQL instance, connect it to App Engine, and use it from external applications for scalable data storage solutions.

What's included

1 video4 readings1 assignment

In this section, we explore real-time communication using the Channel API, covering server-client implementation, message delivery, and handling disconnections for efficient web interactions.

What's included

1 video3 readings1 assignment

In this section, we configure a Django development environment, implement Cloud SQL with the ORM, and upload files to Google Cloud Storage for scalable web application development.

What's included

1 video8 readings1 assignment

In this section, we explore implementing a REST API for a Notes application using Google Cloud Endpoints. Key concepts include designing resource representations, protecting endpoints with OAuth2, and decoupling frontend and backend for scalability.

What's included

1 video3 readings1 assignment

Instructor

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