Conclusion

Intermediate
1m
511
4.7/5

This lesson is the first in a two-part series that explores how to create a chatbot using Google Dialogflow. We'll take an introductory look at what the Google Dialogflow tool is used for and look at the basic steps and components required to make a chatbot. We'll cover the concepts and technical aspects to consider when building a chatbot, and then put these into context by applying them to a real-world scenario.

Learning Objectives

  • Understand the fundamentals of creating chatbots using Dialogflow
  • Learn how chatbots interact with users
  • Understand the technical aspects of developing a Dialogflow application
  • Learn how the concepts covered in the lesson can be applied to a real-world scenario

Intended Audience

  • Anyone looking to build chatbots using Google Dialogflow

Prerequisites

In order to get the most out of this lesson, you should have at least a basic understanding of:

  • Computer science techniques
  • REST APIs and SQL
  • Google Cloud Platform
About the Author
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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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