The Definitive Guide to Conversational AI with Dialogflow and Google Cloud
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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud


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About the Book

Chapter 1: Introduction to Conversational AI
Why do some chatbots fail?
Machine learning simply explained
Chatbots and machine learning
Machine learning and Google
About Dialogflow
Dialogflow essentials & Dialogflow CX
About Google Cloud
About Contact Center AI
Other Google conversational AI products
Actions on Google / Action Builder
AdLingo
Chatbase
Duplex
Meena
Summary
Reference
Chapter 2: Getting Started with Dialogflow Essentials
Creating a Dialogflow agent
Creating Dialogflow agents for enterprises
Configuring your Dialogflow project
Summary
Reference

Chapter 3: Dialogflow Essentials Concepts
Setting up intents
Creating custom entities
Creating intents with entities in training phrases
Keeping context
Testing in the simulator
Summary
Reference

Chapter 4: Building Chatbots with Templates
Creating prebuilt agents
Enabling small talk modules
Creating a FAQ knowledge base
Summary
Reference

Chapter 5: Reviewing your Agent
Validating your Dialogflow agent
Summary
Reference

Chapter 6: Deploying your Chatbot to Web & Social Media Channels
Integrating your agent with Google Chat
Integrating your agent with a web demo
Integrating your agent with a Dialogflow Messenger
Summary
Reference

Chapter 7: Building Voice Agents
Building a voice AI for a virtual assistant like the Google Assistant
Building a callbot with a phone gateway
Building bots for contact centers with Contact Center AI
Improving speech quality
Fine tuning voice bots with SSML
Summary
Reference
Chapter 8: Creating a Multilingual Chatbot
Building multilingual chatbots
Summary
Reference

Chapter 9: Orchestrate Multiple Sub Chatbots from One Chat Interface
Creating a mega agent
Summary
Reference

Chapter 10: Creating Fulfillment Webhooks
Building a fulfillment with the built-in editor
Building webhook fulfillments
Building multilingual webhook fulfillments
Using local webhooks
Securing webhooks
Summary
Reference

Chapter 11: Creating a Custom Integration with the Dialogflow SDK
Implementing a custom chatbot in your website front-end
Creating rich responses in your chatbot integration
Using ma
About the Author:

Lee Boonstra is a senior developer advocate at Google working with conversational AI. In this role she focuses on Dialogflow, Contact Center AI and speech technology. Lee is based in Amsterdam, the Netherlands, where she has been working with different technologies over the past 15 years, ranging from web/mobile, Ext JS, Sencha Touch, and Node.js, to conversational AI, Dialogflow, Actions on Google and Contact Centers.


Over the years she has helped many brands and enterprises to build and deploy conversational AI solutions (chatbots and voice assistants) at enterprise scale. She's worn different hats from engineer to technical trainer to sales engineer to developer advocate. Prior to Google, Lee worked at Sencha Inc.


You can find Lee on online via the Twitter handle: @ladysign.


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Product Details
  • ISBN-13: 9781484270134
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 254 mm
  • No of Pages: 408
  • Spine Width: 22 mm
  • Weight: 797 gr
  • ISBN-10: 1484270134
  • Publisher Date: 31 Aug 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
  • Width: 178 mm


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