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Google Assistant: Build an Application with Dialogflow and Cloud Functions

Google Assistant: Build an Application with Dialogflow and Cloud Functions

45 minutes 5 Credits

GSP174

Google Cloud Self-Paced Labs

Overview

Google Assistant is a personal voice assistant that offers a host of actions and integrations. From making appointments and setting reminders, to ordering coffee and playing music, the 1 million+ actions available suit a wide range of voice command tasks. Google Assistant is offered on Android and iOS, but it can even be integrated with other devices like smartwatches, Google Homes, and Android TVs.

Actions is the central platform for developing Google Assistant applications. The Actions platform integrates with human-computer interaction suites, which simplifies conversational app development. The most widely used suite is Dialogflow, which uses an underlying machine learning (ML) and natural language understanding (NLU) schema to build rich Assistant applications. The Actions platform also integrates with Cloud Functions, which lets you run backend fulfillment code in response to events triggered by Dialogflow requests.

In this lab you will get hands-on practice with the Actions platform, the Dialogflow suite, and Cloud Functions by building a "Silly Name Maker" application, which returns a user with a silly name after they have entered in a lucky number and favorite color. You will build a Dialogflow agent that intelligently parses user input for specific information. The agent will be supplemented with a webhook, which will trigger a Cloud Function that handles fulfillment logic and returns your user with their silly name.

What you will learn

In this lab, you will learn how to:

  • Create an Actions project and build an Action.
  • Create a Dialogflow agent and configure the default welcome intent.
  • Build a custom intent with entities.
  • Initialize a Cloud Function.
  • Add fulfillment logic and packages to your Cloud Function.
  • Add a webhook to your Action.
  • Test your Assistant application with the Actions simulator on expected and unexpected conversational paths.
  • Optional: test your Assistant application on a Google Home device.

Prerequisites

This is a fundamental level lab. Familiarity with the Actions Console and the Qwiklabs platform is expected. If you need to get up to speed with the lab's requirements, please complete one of the following Qwiklabs:

Since this lab works with the Actions simulator, having a pair of headphones or turning the volume up on your computer is recommended. If you want to test your Assistant application on a Google Home, keep your device handy.

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

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Score

—/100

Create a Dialogflow Agent traverse from Action Project

Run Step

/ 30

Configure the Default Welcome Intent

Run Step

/ 10

Configure a Custom Intent (name: make_name)

Run Step

/ 30

Initialize and Configure a Cloud Function

Run Step

/ 30