A complete guide to build a better Chatbots

Key Features

Concept of artificial intelligence (AI) and machine learning

How AI is involved in creating chatbots

What are chatbots

Chatbot development

Live chatting

Create chatbot with technologies such as Amazon Lex, Google Dialogflow, AWS Lambda, Microsoft Bot Framework, and Azure

Deploy and talk to your bot

Description
This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in todays era? It focuses on creating a bot using Amazons Lex service and getting the bot deployed on Facebook messenger for live chatting. This book
will train you on how to create a chatbot using Googles Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using Microsofts bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response.

What You Will Learn

Learn the concept of chatbot

Learn how chatbots and AI work hand in hand

Learn the concept of machine learning in chatbots

Get familiar with chatbot services such as Amazons Lex and Googles Dialogflow

Learn how to write an AWS Lambda function

Learn what webhooks are

Learn about Microsofts Bot Framework

Write your own custom chatbot

Deploy the chatbot on Facebook Messenger, Google Assistant, and Slack

Live chatting with your own chatbot

Who This Book Is For

The developers, architects, and software/technology enthusiasts who are keen to learn the cutting-edge technologies and want to get a hands-on experience on AI by creating their own custom chatbots.

Organizations, small companies, service-based/product-based setups which want to learn how to create a basic chatbot on their website and on social media to get more leads and reach to the end user for their business.

Students, if they are seeking something where they can create and integrate the real-time chatbots in their projects.

Table of Contents
Section 1: The Concept

1. What are Chatbots?
2. How Chatbot Works
3. What is the Need for a Chatbot?
4. Conversational Flow?

Section 2: Creating a Chatbot Using Amazon Lex

1. Amazon Lex and AWS Account
2. Create Bot Using Amazon Lex
3. AWS Lambda Function
4. Slots
5. Error Handling
6. Deploy the Bot on Facebook Messenger
7. Live Chatbot on Facebook

Section 3: Creating a Chatbot Using Dialogflow API and Microsofts Bot Framework

Technical Requirements

1. Dialogflow Account
2. Creating a Bot in Dialogflow
3. Dialogflow Console
4. Integrating the Bot with Slack
5. Chatbot Using Microsoft Bot Framework
6. Publishing the Bot from Visual Studio to Azure
7. Register the Bot
8. Dialogflow.v2 SDK
9. Webhooks in Dialogflow
10. Testing the Bot
11. Deploy the Chatbot in Facebook Messenger
12. Live Chatbot on Facebook
13. Deploy the Chatbot in Slack

Future of Chatbots

About the Author
Akhil Mittal is two times Microsoft MVP (Most Valuable Professional) firstly awarded in 2016 continued in 2017 in Visual Studio and Technologies category, C# Corner MVP since 2013, Code Project MVP since 2014, a blogger, author and likes to write/read technical articles, blogs and books. He works as a Sr. Consultant with Magic Edtech (https://www.magicedtech.com/) which is recognized as a global leader in delivering end to end learning solutions. He has an experience of around 12 years in developing, designing, architecting enterprises level applications primarily in Microsoft Technologies. He has a diverse experience in working on cutting edge technologies that include Microsoft Stack, AI, Machine Learning and Cloud computing. Akhil is an MCP (Microsoft Certified Professional) in Web Applications and Dot Net Framework.

linkedin: linkedin.com/in/akhilmittal

 

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Spis treści

Getting Started with Chatbots eBook -- spis treści

• Cover
• Getting Started with Chatbots
• Copyright
• Dedication
• Preface
• Acknowledgement
• About the Author
• Table of Contents
• Section 1: The Concept
  • Chapter 1 What are Chatbots?
  • What Makes Chatbot?
  • Chapter 2 How Chatbot Works
  • Chapter 3 What is the Need for a Chatbot?
  • Chapter 4 Conversational Flow?
  • Handling Interruptions
• Section 2: Creating a Chatbot Using Amazon Lex
  • Chapter 1 Amazon Lex and AWS Account
  • Amazon Lex
  • Setup AWS Account
  • Chapter 2 Create Bot Using Amazon Lex
  • Terminology
  • Getting Started
  • Name your Bot
  • Intents
  • Utterances
  • Compile your Bot
  • Test the Bot
  • Chapter 3 AWS Lambda Function
  • Working with Lambda Functions
  • Enable Lambda Functions
  • Create a Lambda Function
  • Test the Lambda Function
  • Integrate with Intent
  • Again, Build your Bot
  • Chapter 4 Slots
  • The Definition
  • An intent Supporting Slot
  • Add a Slot
  • Test the Intent with Slots
  • Chapter 5 Error Handling
  • Chapter 6 Deploy the Bot on Facebook Messenger
  • Facebook Developer Account.
  • Add your First Product
  • Token Generation and Security
  • Publish the Bot
  • Deploy the Bot on Facebook Messenger
  • Subscribe to Webhook
  • Add Button for the Bot
  • Chapter 7 Live Chatbot on Facebook
  • Conclusion
• Section 3: Creating a Chatbot Using Dialogflow API and Microsofts Bot Framework
  • Technical Requirements
  • Chapter 1 Dialogflow Account
  • Chapter 2 Creating a Bot in Dialogflow
  • Create Agent
  • Create Intent
  • Default Welcome Intent
  • Book a Table Intent
  • Action Parameters
  • Default Response
  • Follow-up Intent
  • No Intent
  • Yes Intent
  • Chapter 3 Dialogflow Console
  • Chapter 4 Integrating the Bot with Slack
  • Chapter 5 Chatbot Using Microsoft Bot Framework
  • Installing Bot Framework
  • Bot Framework Emulator
  • Chapter 6 Publishing the Bot from Visual Studio to Azure
  • Chapter 7 Register the Bot
  • Chapter 8 Dialogflow.v2 SDK
  • Chapter 9 Webhooks in Dialogflow
  • BotModel
  • Model Mapper
  • Intent Handlers
  • Intent List
  • Intent Router
  • Dialogflow Controller
  • Chapter 10 Testing the Bot
  • Test in Dialogflow Console
  • Bot in Google Assistant
  • Downloads
  • Chapter 11 Deploy the Chatbot in Facebook Messenger
  • Chapter 12 Live Chatbot on Facebook
  • Chapter 13 Deploy the Chatbot in Slack
  • Conclusion
  • Future of Chatbots
  • Moving from NLP to NLU
  • Conversational Interfaces and Better UX
  • Beyond Conventional UI
  • Helping Business
  • Bot to Bot
  • Blockchain
  • Chatbot vs Humans