In this specialization, application developers will learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants will learn how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. The course is intended for developers who want to build cloud-native applications or redesign existing applications to run on Google Cloud.
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Get Started / More InfoThe course modules cover Google Cloud fundamentals, application development best practices, securing and integrating components, and app deployment, debugging, and performance. Gain hands-on experience with Google Cloud services and pre-trained machine learning APIs.
Identify the purpose and value of Google Cloud products and services. Define how infrastructure is organized and controlled in Google Cloud. Explain how to create a basic infrastructure in Google Cloud. Select and use Google Cloud storage options.
Describe best practices for cloud-native application development. Differentiate between data storage options for various types of application data. Implement solutions for storing non-relational application data in Datastore and for objects using Cloud Storage.
Build intelligent applications using pre-trained machine learning APIs. Implement a serverless application using Cloud Functions. Implement federated identity management using Firebase authentication. Implement a loosely coupled architecture using Pub/Sub as a messaging platform.
Deploy applications using Cloud Build, Container Registry, and Terraform. Differentiate between compute options for your application. Debug, monitor, and troubleshoot your application using Google Cloud's operations suite.
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