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Application Development - Python

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Application Development - Python

6 hours Advanced universal_currency_alt 40 Credits
In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

  • Lab

    App Dev: Setting up a Development Environment - Python

    In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.

  • Lab

    Uygulama Geliştirme: Cloud Datastore'da Uygulama Verilerini Depolama - Python

    Bu laboratuvarda, online bir testten oluşan örnek olay uygulamasını inceleyeceksiniz. Cloud Datastore'da test uygulamasına ait uygulama verilerini depolayacaksınız.

  • Lab

    App Dev: Storing Image and Video Files in Cloud Storage - Python

    In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.

  • Lab

    App Dev: Adding User Authentication to your Application - Python

    In this lab, you will enhance the online Quiz application to use Firebase authentication.

  • Lab

    App Dev: Developing a Backend Service - Python

    In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores.

  • Lab

    App Dev: Deploying the Application into Kubernetes Engine - Python

    In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.

  • info
    Quest Info
    Prerequisites
    As this Quest relies heavily on the Python programming language, the student should be an experienced programmer with Python. This Quest requires prior hands-on experience with GCP computing and storage services. It is recommended that the student have at least earned a Badge by completing the hands-on labs in the Cloud Architecture and/or the Baseline: Deploy and Develop Quests before beginning.