Creating an Active Chatbot in Dialogflow

Developed with
Calculated Systems

Lab Steps

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SIgning in to the Dialogflow Console
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Creating a Dialogflow Intent
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Testing the Dialogflow Intent
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Dealing with Actions and Parameters
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Testing Incomplete Statements
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Outputting Contexts in Dialogflow
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Inputting Contexts in Dialogflow
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Making the Dialogflow Bot More User-Friendly
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Testing the Follow-On Intent
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Chaning the Follow-On Intent

The hands-on lab is part of this learning path

Ready for the real environment experience?

DifficultyIntermediate
Time Limit1h
Students13

Description

Users expect chatbots to be a naturally easy experience. Chatbots must therefore be active participants in conversations in helping users ask good questions. Dialogflow makes this process natural and straightforward with a suite of tools to guide users to the goals they want. In this lab, you will create a banking concierge chatbot that is capable of asking clarifying and follow-up questions.

Learning Objectives

Upon completion of this Lab you will be able to:

  • Describe how Dialogflow can ask users follow-up questions
  • Manage follow-up intents for multi-stage conversations
  • Leverage contextual awareness to provide a more natural conversation

Intended Audience

This lab is intended for:

  • Machine learning engineers
  • Anyone interested in bots

Prerequisites

You should possess:

  • A basic understanding of Dialogflow
  • A basic understanding of Google Cloud is helpful but not required

The following content is sufficient to fulfill these prerequisites:

About the Author
Students4768
Labs31
Courses12
Learning paths16

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.