Lee Boonstra - Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
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- Book:Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-7013-4. For more detailed information, please visit http://www.apress.com/source-code.
This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
To my wife Michele and my daughter Rebel. I love you to the moon and back.
To some people, writing a book can feel a lot like the process of childbirth. To others, their written book can feel like its their baby. I wrote this book while I was six months pregnant from my firstborn, baby Rebel. Because of COVID-19, the Netherlands just went in lockdown, and I had to cancel all my Google work trips. With so much extra time, and since I cant sit still, I had to share my Conversational AI knowledge with the world and put it on paper. And yes, it was a process, but I put a lot of love into it! So this book release is my announcement!
Lee Boonstra (Senior Developer Advocate, Conversational AI @ Google)
This book is written for everyone (practitioners) interested in building chatbots for the Web, social media, voice assistants, or contact centers, using Googles Conversational AI/Cloud technology. Whether you are a UX designer/linguist, a web/conversational bot engineer, chatbot architect, back-end developer, a project manager, or a business decision-maker, that is, CTO or Chief Innovation Officer, this book is for you.
Some topics target engineers. I will share some code and explain what it does. Most of my code examples are written in JavaScript for Node.js. When you rather program in a different language, my examples will be apparent to understand (and rewrite) to a language of choice.
In the sections, I have added advanced tips and tricks, like answers to questions that I have heard while working with various (enterprise) Dialogflow customers.
I promise, even if you have been using Dialogflow before, you will likely still learn new things!
Whats Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used
How to create Dialogflow projects for individuals and enterprise usage
Dialogflow Essentials concepts like intents, entities, custom entities, system entities, composites, and how to track context
How to build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases
How Dialogflow can give an out-of-the-box agent review
How to deploy text conversational UIs for web and social media channels
How to build voice agents for voice assistants and phone gateways/contact centers
How to build multilingual chatbots
How to orchestrate many (sub-)chatbots to build a bigger conversational platform
How to use chatbot analytics, and how to test the quality of your Dialogflow agent
How Dialogflow CX fits in, whats different in Dialogflow CX, and new Dialogflow CX concepts
Learn how to create fulfillment to connect to a web service in various ways
Learn how to run back-end code from a local/development machine
Learn how to secure your chatbots
Learn how to integrate your chatbots in a website or native mobile (Flutter) app by creating your own custom integrations
Learn how to create an omnichannel bot platform architecture
Learn how to create rich responses in custom integrations
Learn how to stream your voice UIs in IoT voice applications
Learn using your own data warehouse for advanced chatbot analytics
Trying out the more advanced examples might require pay as you use Google Cloud resources. When you are new to Google Cloud, you can create a free Google Cloud account, which comes with 300 dollars of credits. These credits should be more than enough for playing around with these examples. Many of the Google Cloud products have a free usage tier ( https://cloud.google.com/free ).
The example code from each chapter is available as a zip file at the books website, www.leeboonstra.dev , and www.apress.com/ISBN . It will point to a source code repository for Apress books on GitHub, where my code can be continuously updated.
Celestin Suresh John (Acquisitions Editor), Matthew Moodie (Development Editor), and Aditee Mirashi (Coordinating Editor) from Apress, without your help this book couldnt go into production. Thank you so much for your hard work.
In particular, I would like to thank Contact Center AI Specialist, Akash Parmar, and Engineering Director, Antonio Gulli. Thank you for reading this book and doing the technical reviews! Very much appreciated!
Thank you for your support and ideas for this book: Dialogflow Product Manager, Shantanu Misra; Conversational AI Incubator Manager (and co-founder API.ai), Pavel Sirotin; Developer Advocacy Manager, Dave Elliot; Customer Engineer, Wouter Roosenburg; Product Marketing Manager, Surbhi Agarwal; Head of Product AI, Antony Passemard; and VP of Engineering, Andrew Moore.
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