OK Google: Build Interactive Apps with Google Assistant

Fundamental 6 Steps 5時間 24クレジット

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

Infrastructure Application Development Business Transformation


No prerequisites required, but comfort with Javascript and Node.js programming will be helpful. Students who have completed the Baseline: Infrastructure will obtain a good conceptual understanding of Cloud Functions before starting this Quest.

Quest Outline


Google アシスタント: Qwik Start - Dialogflow

このラボでは、Actions と Dialogflow を使用して引用生成アプリケーションを作成することで、Google アシスタントの基礎を学びます。

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Google Assistant: Customizing Templates

In this lab you will learn how to customize an Assistant template by building a flash card application with Cloud Storage and the Cloud Translation API.


Google で使用される API の概要

このラボでは、API のアーキテクチャと基本機能について学習した後、Cloud Shell で Cloud Storage API メソッドを構成して実行する方法を演習で確認します。

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Google Assistant: Build an Application with Dialogflow and Cloud Functions

In this lab, you will build a Google Assistant application with Dialogflow and Cloud Functions for Firebase.


Google Assistant: Build a Youtube Entertainment App

In this lab, you will build a Google Assistant app with Dialogflow, Cloud Functions, and the Youtube API to generate the top music videos for any music artist. .


Google アシスタント: Places API を使用してレストラン検索を構築する

このラボでは、ユーザーの現在地と好みを取り入れ、Cloud Functions 経由で Places API に渡して、最適なグルメスポットを検索するアシスタント アプリケーションを構築します。

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