Develop Chatbot with Microsoft Azure
Web chat| LUIS | Facebook Chatbot | QnA Maker | Deploy chatbot locally using Bot Emulator | Embed chatbot in website
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,Microsoft Azure
Lectures -18
Duration -1 hours
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Course Description
In this course, we will learn different bot services which are being offered by Microsoft Azure. First of all we will learn basic concept related to bot like why we need it and how it is useful in business.
Then we will create a simple chatbot, then after that we will embed the chatbot into HTML website
After it, we will create a chatbot for a Facebook page, which will create good customer engagement and provide better 24*7 services to customers
Then learn how to crawl from different sources like FAQ links, documentation, product manuals etc to create FAQ bot or you can called it as QnA chatbot. Then at last we will going to deploy Luis app. Luis stands for language understanding.
Once you complete this course, you will able to develop different kind of bot services provided by Microsoft azure
Goals
- Create Facebook Messenger Chatbots
- Understand intents, Entities, and Utterance
- Create FAQ into bots
- Learn how to crawl semi-structured data like FAQ links, documentation
- Run Chatbot locally using Microsoft Bot Emulator
- Create webchat for html website
- Develop the LUIS (Language Understanding) bot
Prerequisites
- You should have a Facebook business page
- You should have a Microsoft Azure account
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to Microsoft Azure Bot Services Learning
2 Lectures
-
Overview
01:18
01:18
-
Introduction
05:21
05:21
Let's starts with by creating simple chatbot
1 Lectures
WebChat bot
2 Lectures
Facebook Chatbot
5 Lectures
QnA Chatbot
3 Lectures
LUIS bot
4 Lectures
Instructor Details
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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