Connecting Up Answers & Data

Intermediate
11m
311
4.6/5

This lesson is the second part of our series on building chatbots using Google Dialogflow. In this lesson, we'll be taking a hands-on approach to implementing a Dialogflow chatbot, specifically focusing on the graphical user interface. You'll follow along as we cover the example of building an online banking customer service chatbot using Dialogflow.

We'll also discuss the use of databases and other knowledge sources in order to provide meaningful responses that give you the option to serve real-world information to your user. 

Learning Objectives

  • Learn what intents are and how to train your chatbot to look for them
  • Set up entities in Dialogflow
  • Understand how chatbots interact with users and how to test your chatbot
  • Learn how to connect your chatbot to a data source
  • Understand the user interfaces available with Dialogflow
  • Learn how to use the Knowledge service to build chatbots quickly and with less configuration

Intended Audience

  • Anyone looking to build chatbots using Google Dialogflow

Prerequisites

Before taking this lesson, make sure you've done Part One first. To get the most out of this lesson, you should also have a basic understanding of: 

  • Computer science techniques
  • REST APIs and SQL
  • Google Cloud Platform
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Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.

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