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  5. Building Chatbots with Google Dialogflow: Part 1

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Contents

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Building Chatbots with Google Dialogflow
1
Introduction
PREVIEW2m 17s
2
How & Why
PREVIEW12m 18s
6

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Overview
Difficulty
Intermediate
Duration
38m
Students
57
Ratings
5/5
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Description

This course 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 course 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 course, you should have at least a basic understanding of:

  • Computer science techniques
  • REST APIs and SQL
  • Google Cloud Platform
Transcript

And that about wraps up section one. As a quick recap, dialogue flow is a great low code approach to start building a chatbot. This bot will leverage the built-in natural language understanding in order to give you a quick to develop, easy to interact with human/machine conversation.

You have many tools at your fingertips for everything from detecting a user's intent, to defining parameters and the ability to slot in entities to enable multi-stage conversations that guide your user to asking better questions.

Additionally, responses and the corresponding fulfillment services give you the ability to connect to already existing sources of information and pull that data into the conversation. This enables you to expose otherwise difficult to communicate data sets and concepts with the end user in a language they understand.

As always, thanks for attending part one of this class, your feedback is extremely valuable. So please remember to rate it. The case studies and examples in this class are actually based on feedback we've received. So if you'd like to say anything particular, please send it in. Thank you.

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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.