Quiz Question 1

How can you invoke pre-trained machine learning APIs (such as the Vision API or Natural Language API) from your application?

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Developing Applications with Google Cloud: Foundations

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Developing Applications with Google Cloud: Foundations

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Welcome to "Developing Applications with Google Cloud: Foundations." This course introduces you to best practices for cloud applications and how to select compute and data options to match application use cases. You learn about Google services for continuous integration and delivery, how to deploy your applications, and how to monitor your applications as they run in Google Cloud. You also learn how Google Cloud helps you build authentication, authorization, security, and artificial intelligence into your applications. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn the fundamentals of application development in Google Cloud.

Exercise 1: Course introduction

This module introduces best practices for developing applications that run in the cloud.

Exercise 1: Best practices for cloud application development (1)Exercise 2: Best practices for cloud application development (2)Exercise 3: Quiz Question 1 Exercise 4: Quiz Question 2

This module introduces the different Google Cloud tools that you will use to develop your applications.

Exercise 1: Overview Exercise 2: Cloud APIs and the Google Cloud SDK Exercise 3: The Google Cloud CLI Exercise 4: Cloud Client Libraries Exercise 5: Cloud Shell and Cloud Code Exercise 6: Quiz Question 1 Exercise 7: Quiz Question 2 Exercise 8: Quiz Question 3 Exercise 9: Summary

This module compares the data storage and database services provided by Google Cloud.

Exercise 1: Overview Exercise 2: Cloud Storage and databases Exercise 3: BigQuery, Memorystore, and product comparisons Exercise 4: Lab overview Exercise 5: Developing Applications with Google Cloud: Storing Application Data Exercise 6: Quiz Question 1 Exercise 7: Quiz Question 2 Exercise 8: Quiz Question 3 Exercise 9: Summary

This module explains how authentication and authorization are added to your cloud applications.

Exercise 1: Overview Exercise 2: Authorization with Cloud IAM Exercise 3: Authenticating to Google APIs and service accounts Exercise 4: Choosing an authentication method Exercise 5: Other authentication/authorization methods Exercise 6: Using Secret Manager Exercise 7: Quiz Question 1 Exercise 8: Quiz Question 2 Exercise 9: Quiz Question 3 Exercise 10: Summary

This module discusses how pre-trained machine learning APIs and generative AI can improve your cloud applications.

Exercise 1: Overview Exercise 2: Using pre-trained machine learning models Exercise 3: Intro to generative AI Exercise 4: Lab overview Exercise 5: Developing Applications on Google Cloud: Adding User Authentication and Intelligence to Your Application Exercise 6: Quiz Question 1

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Exercise 7: Quiz Question 2 Exercise 8: Summary

This module discusses how to build and deploy applications on Google Cloud.

Exercise 1: Overview Exercise 2: Continuous integration and delivery Exercise 3: Containers and building application images Exercise 4: Quiz Question 1 Exercise 5: Quiz Question 2 Exercise 6: Summary

This module discusses the compute options available for running your applications in Google Cloud.

Exercise 1: Overview Exercise 2: Compute Engine Exercise 3: Google Kubernetes Engine Exercise 4: Cloud Run Exercise 5: Comparisons Exercise 6: Quiz Question 1 Exercise 7: Quiz Question 2 Exercise 8: Quiz Question 3 Exercise 9: Summary

This module discusses the application use cases of the services in Google Cloud Observability.

Exercise 1: Overview Exercise 2: Google Cloud Observability Exercise 3: Logging and metrics Exercise 4: Error Reporting Exercise 5: Managing performance Exercise 6: Lab overview Exercise 7: Developing Applications on Google Cloud: Deploying and Maintaining Your Application Exercise 8: Quiz Question 1 Exercise 9: Quiz Question 2 Exercise 10: Quiz Question 3 Exercise 11: Summary

Links to module PDFs

Exercise 1: Course resources