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

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