LUIS Overview & Demo
Utterances, Intents & Entities
Training, Testing, and Publishing a Model
The course is part of this learning path
This course focuses on how to use the LUIS (Language Understanding Intelligent Service) portal to create new LUIS models, how to enrich them with intents, entities, and utterances, and how to train and apply apps.
Not only will you get theoretical knowledge of LUIS and its components, but you'll also follow along with demonstrations from the LUIS portal to get a practical understanding of how to use the service.
- Obtain a general understanding of what LUIS is and how to interact with it
- Create LUIS resources
- Learn about utterances, intents, and entities and how they are used in language understanding at a practical level
- Learn how to test, train, and publish your LUIS models
This course is made for developers or architects who would like to know more about how to use the Language Understanding Intelligent Service, LUIS, to improve their chatbot development and experience.
To get the most out of this course, you should have some Azure experience, particularly surrounding subscription and resource groups as well as chatbots and language services. Some developer experience, including familiarity with terms such as REST API and SDKs, would also be beneficial.
Hello, and welcome to Adding Language Understanding to Chatbots with LUIS. My name is Emilio Melo and I'm an Azure Solution Architect at Cloud Advantage, with a focus on Data & AI solutions. I was lucky enough to have worked for some major companies in the IT industry, such as Microsoft, IBM, NetApp, and Trivago.
So who is this course for? This course is made for developers or architects that would like to know more about how to use the Language Understanding Intelligent Service, LUIS, to improve your chatbot development and experience. The focus of this course is to cover how to use the LUIS portal to create new LUIS models, how to enrich them with Intents, Entities, and Utterances, and how to train and apply apps. We're not going to focus much on coding, but I'll add a few links with code samples in case you want to develop it in either C# or Python.
The prerequisites are relatively low, as we will be covering LUIS concepts from the beginning. That being said, it would be useful if you had some Azure experience, at least with topics such as subscription and resource groups, some Cognitive Services knowledge, especially on chatbots and the language services, and some developer experience, including familiarity with terms such as REST API and SDKs.
A couple of last notes before we get started. If at any moment you need help, feel free to send an email to email@example.com and they will be glad to assist you. Also, we'd love to get your feedback about this course, so please give it a rating when you're finished. With that out of the way, let's get started.
Emilio Melo has been involved in IT projects in over 15 countries, with roles ranging across support, consultancy, teaching, project and department management, and sales—mostly focused on Microsoft software. After 15 years of on-premises experience in infrastructure, data, and collaboration, he became fascinated by Cloud technologies and the incredible transformation potential it brings. His passion outside work is to travel and discover the wonderful things this world has to offer.