This course covers how to leverage Google App Engine to build and deploy scalable Python web applications. With practical tools and techniques, it equips developers to create cloud-based services and applications. Google App Engine’s infrastructure helps developers enhance their Python expertise and scale applications efficiently.
Python for Google App Engine
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
Skills you'll gain
- Scalability
- Cloud Storage
- Platform As A Service (PaaS)
- Application Performance Management
- OAuth
- MySQL
- Application Deployment
- Authentications
- Restful API
- Web Applications
- Google App Engine
- Cloud Services
- Cloud Applications
- Python Programming
- Google Cloud Platform
- Data Store
- Cloud Computing
- Cloud Computing Architecture
Details to know
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Assessments
8 assignments
Taught in English
Recently updated!
December 2025
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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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