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Implementing an AI Chatbot with Dialogflow

60m access · 50m completion
Connection Details

9 Credits

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This lab costs 9 Credits to run. You can purchase credits or a subscription under My Account.

01:00:00

Implementing an AI Chatbot with Dialogflow

GSP078

Google Cloud Self-Paced Labs

Overview

Dialogflow is one of the hottest computer-human interaction platforms on the market. It offers all the services and complexities of natural language processing and machine learning, but uses a straightforward interface that allows you to start developing Assistant, Alexa, and Cortana integrated applications today. In this lab, you will build a Google Assistant chatbot that submits helpdesk tickets. The following is a diagram of the chatbot application on Google Cloud Platform:

b4c6dcdb2577c898.png

The exercises are ordered to reflect a common cloud developer process. You will:

  • Set up your lab and learn how to work with Dialogflow and your GCP environment.
  • Deploy a simple Dialogflow application.
  • Deploy a simple cloud function within GCP to connect with Dialogflow.
  • Test your chatbot.

What you'll learn

By the end of this lab, you will have an understanding of the following:

  • Basics concepts and constructs of Dialogflow, including intent, entity and context.
  • Chatbot workflow.
  • Life of a conversation.

Prerequisites

This is an expert level lab. Before taking it, you should be comfortable with at least the basics of machine learning and natural language processing. Here are some Qwiklabs that can get you up to speed:

Once your prepared, scroll down to dive into Dataflow.

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