
Developing Bots with QnA Maker Service
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Learn to develop bots with zero coding knowledge using the Azure Cognitive QnA Maker service, a GUI cognitive service from Microsoft. This book shows you how to integrate QnA Maker with the Azure Bot Service and Microsoft Bot Framework, along with how to integrate your bot with social channels such as Web Chat, and Telegram.
You will learn what QnA Maker is, why you should use this service in enterprise settings, when you should use this service, and how you should use the service. Developing Bots with QnA Maker Service takes you through the QnA Maker FAQ knowledge base with Azure Bot Service, where you will discover how to get started with a web app bot using the Azure portal. This section culminates in deploying your bot on Azure Web App, making your bot live.
Next, you will learn QnA Maker with the .NET Framework and Visual Studio 2017 along with ways to manage QnA Maker service post deployment. Finally, you will learn how to add media content including videos and images to the QnA Maker knowledge base.
After reading this book you will be able to develop bots using the latest .NET Framework, Visual Studio 2017, and the Microsoft online code editor.
What You Will Learn
-
Customize QnA Maker default components, using the Azure portal
-
Work with Microsoft Bot Framework
-
Develop and integrate FAQ bots with Azure Bot Service
-
Manage FAQ bots using the .NET Framework and the Azure portal
Who This Book Is For
Developers/architects with an interest in building chatbots.
More details
Other editions
Additional editions

Person
Kasam Shaikh is a certified Azure architect, global AI speaker, technical blogger and a C# Corner MVP. He has more than 10 years of experience in the IT industry and is a regular speaker at various events on Azure. He is also a founder of DearAzure.net and Shaikh Academy. He leads the azINDIA online community for learning Microsoft Azure. He has a concrete technical background with good hands-on experience in various Microsoft .NET technologies such as the .NET Framework, ASP.NET, MVC, C#, WCF, Web APIs, and SQL. At DearAzure.net he has been organizing online webinars and live events for learning Microsoft Azure. He also takes sessions and speaks on developing bots with Microsoft Azure cognitive and QnA Maker service at International conference, online communities and local user groups. He owns a YouTube channel and shares his experience over his website https://www.kasamshaikh.com
Content
Chapter 1 - Eagle eye view of Cognitive Services offering.- Chapter 2 - What, When, Why & How QnA Maker Service.- Chapter 3 - Creating FAQ Bot Backend from Scratch.- Chapter 4 - Talk-with-Azure-Bot-Framework.- Chapter 5 - Connecting-Bot-with-Social-Channels.- Chapter 6 - Bot Build Management.- Chapter 7 - Things you must know about QnAMaker knowledgebase.- Chapter 8 - A steps towards having an Interactive & Cost-effective FAQ Bot.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.