Lesson 1
Introduction to NLP and Conversational Solutions with Azure
Welcome to Building NLP and Conversational AI Solutions with Azure. In this lesson you'll learn more about the course, prerequisites, tools, and environment.
Course
In this course, you'll design and build bot solutions on the Azure platform using the Microsoft Bot Framework, language understanding models with the LUIS service, knowledge bases with the Azure QnA service, and integrate Azure Cognitive Text Analytics and speech services.
In this course, you'll design and build bot solutions on the Azure platform using the Microsoft Bot Framework, language understanding models with the LUIS service, knowledge bases with the Azure QnA service, and integrate Azure Cognitive Text Analytics and speech services.
Built in collaboration with
Microsoft
Advanced
3 weeks
Real-world Projects
Completion Certificate
Last Updated December 23, 2022
Skills you'll learn:
Prerequisites:
No experience required
Lesson 1
Welcome to Building NLP and Conversational AI Solutions with Azure. In this lesson you'll learn more about the course, prerequisites, tools, and environment.
Lesson 2
In this lesson, you'll learn how to create requirements for NLP and conversational AI solutions and responsible AI principles involved in building these solutions
Lesson 3
In this lesson, you'll learn about the Microsoft Bot Framework and create bot applications
Lesson 4
In this lesson, you'll learn about two Azure NLP Cognitive Services, QnA Maker and LUIS, and integrate them into bot applications to recognize user intent.
Lesson 5
This lesson is about Azure Cognitive Text Analytics and Speech Services. You'll learn how to analyze incoming text in a bot application and speech-enable a bot application with bot channels
Lesson 6 • Project
Create a static web app for a dentist’s office with a web app bot service that answers customers’ questions and can schedule appointments.
Senior Technical Content Developer at Udacity
Valerie is a Sr. Technical Content Developer at Udacity who has developed and taught a broad range of computing curricula for multiple colleges and universities. She is a former professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and full-stack application development.
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