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In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. 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.
This course teaches participants the following skills:
Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.
To get the most benefit from this course, participants should have the following prerequisites:
Module 1: Best Practices for Application Development
Module 2: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
Module 3: Overview of Data Storage Options
Module 4: Best Practices for Using Google Cloud Datastore
Module 5: Performing Operations on Buckets and Objects
Module 6: Best Practices for Using Google Cloud Storage
Module 7: Handling Authentication and Authorization
Module 8: Using Google Cloud Pub/Sub to Integrate Components of Your Application
Module 9: Adding Intelligence to Your Application
Module 10: Using Google Cloud Functions for Event- Driven Processing
Module 11: Managing APIs with Google Cloud Endpoints
Module 12: Deploying an Application by Using Google Cloud Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager
Module 13: Execution Environments for Your Application
Module 14: Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver
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