GSP487

Overview

Google Assistant is a personal voice assistant that offers a host of actions and integrations. From sending texts and setting reminders, to ordering coffee and playing music, the 1 million+ actions available suit a wide range of voice command needs.

Google Cloud Functions is a lightweight compute solution for developers to create single-purpose, stand-alone functions that respond to Cloud events without the need to manage a server or runtime environment.

The Youtube Data API allows you to access millions of Youtube videos and their associated metadata through HTTP requests.

By utilizing Cloud Functions and the Youtube Data API, you will build an Assistant application that takes in a user's favorite music artist and generates their top ranking songs with links and thumbnails.

What you will learn

In this lab, you will learn how to:

• Build an Assistant application pipeline that consists of an Actions project, a Dialogflow agent with custom intents and entities, a webhook, and a Cloud Function to handle fulfillment.
• Generate the proper authentication credentials and install necessary dependencies to use the Youtube Data API.
• Add fulfillment logic to the Cloud Function to handle Youtube Data API calls.
• Deploy your application and test it with the Actions Simulator.

Prerequisites

This is an advanced level lab. This assumes familiarity with Dialogflow and Cloud Functions. Basic knowledge of APIs is recommended. Experience with JavaScript and the Node.js runtime is recommended, but not required. If you need to brush up on these skills, please take one of the following labs before attempting this one:

• Google Assistant: Build an Application with Dialogflow and Cloud Functions
• Introduction to APIs in Google

Once you're ready, scroll down and follow the steps below to get your lab environment set up.