hands-on lab

Creating Your First Dialogflow Bot

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.


In this lab, you will be creating a simulated banking concierge bot. Dialogflow enables rapid development of a natural language understanding agent and includes a GUI to help you along the path. The chatbot you will be designing will be able to respond to a basic incoming user request and respond with a useful, human-readable answer.

Learning Objectives

Upon completion of this Lab you will be able to:

  • Configure a conversational intent that a Dialogflow can interact with
  • Design parameters and entities to recognize key elements of the conversation
  • Craft responses as placeholders for a more complex fulfillment option

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 an Intent in Dialogflow
Creating a custom Entity
Finalizing Your Intent
Capturing Additional Training Phrases
Setting up a Response
Trying Out Your Bot
Sneaking a Peak at the API