hands-on lab

Creating an Active Chatbot in Dialogflow

Up to 1h
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.


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


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

Learning paths

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.

Covered topics

Lab steps

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