Develop CHATBOT with Microsoft Azure

Develop CHATBOT with Microsoft Azure, available at $39.99, has an average rating of 2.95, with 20 lectures, based on 66 reviews, and has 1628 subscribers.

You will learn about 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 LUIS(Language Understanding) bot This course is ideal for individuals who are Basic knowledge of web development or Minimal level of Azure Services It is particularly useful for Basic knowledge of web development or Minimal level of Azure Services.

Enroll now: Develop CHATBOT with Microsoft Azure

Summary

Title: Develop CHATBOT with Microsoft Azure

Price: $39.99

Average Rating: 2.95

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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 LUIS(Language Understanding) bot

Who Should Attend

Basic knowledge of web development

Minimal level of Azure Services

Target Audiences

Basic knowledge of web development

Minimal level of Azure Services

According to Gartner, 25% of customer service and support operations will integrate virtual customer assistant (VCA) or chatbot technology across engagement channels by 2024, up from less than 2% in 2017.

Now chatbots are increasingly becoming common as the best form of online communication between brands and consumers.

Organizations report a reduction of up to 70% in call, chat and/or email inquiries after implementing a VCA, according to Gartner research.

It simply means, one who works in IT industry must know how to build and deploy Chatbots or virtual assistant into websites.

Giant companies make a lot of profit using chatbot and they will hire those who are capable of building chatbot or VA. As it eliminates the manual intervention, hence there has been reduced observed in cost as less number of employee required as of now. It also manages customer queries 24*7, promoting better customer engagement for the product.

In this learning path you will learn different bot services which are being offered by Microsoft Azure. First of all you will learn the basic concepts related to bot like why we need it and how it is useful in business.

Then you’ll build and deploy simple chatbot, integrate into website and  Facebook page which will create better customer engagement and provide better 24*7 services to customers.

Then learn how to crawl from different sources like FAQ links , documentation, product manual etc to create FAQ bot or you can called it as QnA chatbot. Then at last you will be going to deploy Luis app.

Course Curriculum

Chapter 1: Welcome to Microsoft Azure Bot Services Learning

Lecture 1: Overview

Lecture 2: Introduction

Chapter 2: Lets starts with by creating simple chatbot

Lecture 1: Simple Bot: Test in Web chat

Chapter 3: WebChat bot

Lecture 1: WebChat bot :Get Embeded Code

Lecture 2: WebChat bot : Deploy chatbot

Chapter 4: Facebook Chatbot

Lecture 1: Facebook Chatbot : Create Facebook App for FB Business page

Lecture 2: Facebook Chatbot : Gather Credentials

Lecture 3: Facebook Chatbot : Connect bot services with Facebook App

Lecture 4: Facebook Chatbot : Deploy

Lecture 5: Facebook Chatbot : Deleting resources

Chapter 5: QnA Chatbot

Lecture 1: QnA : Introduction

Lecture 2: QnA : Creating QnA Maker services

Lecture 3: QnA : Knowledge Base

Lecture 4: QnA : Deploy

Chapter 6: LUIS bot

Lecture 1: LUIS : Introduction

Lecture 2: LUIS : Creating and testing LUIS app

Lecture 3: LUIS : Publish LUIS app

Lecture 4: LUIS : Adding some modification to LUIS app

Lecture 5: LUIS : Sentiment Analysis using LUIS App

Chapter 7: Last Words

Lecture 1: Bonus Lecture

Instructors

Pranjal Srivastava
Docker | Kubernetes | AWS | Azure | ML | Linux | Python

Rating Distribution

1 stars: 11 votes

2 stars: 8 votes

3 stars: 14 votes

4 stars: 14 votes

5 stars: 19 votes

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