Create applications with Azure Conversational Language Understanding

A few days ago, I had the pleasure to be invited to speak at the Thessaloniki .NET meetup. It was a wonderful experience since this was my first on-site event!

I talked about Conversational AI and Spoken Language Understanding and presented the Azure Conversational Language Understanding service which is a new feature offered by Azure Cognitive Service for Language and enables you to build models that understand input text.

The session

The ability to understand what your user means conversationally and contextually can be a difficult task but provides your app natural conversation feel. Conversational language Understanding (CLU), a feature offered by Azure Cognitive Service for Language, enables you to build models that understand input text. In this session, we will introduce you to the available Natural Language Processing (NLP) features of the Azure Cognitive Service for Language and explore the CLU. We will then describe the core concepts of CLU like utterances, entities, and intents, and show how to build a CLU model via a hands-on demonstration.

What you will learn in this session:

• Understand the concept of Natural Language Understanding (NLU).
• Define core concepts of NLU (intents, utterances, and entities).
• Learn how Azure CLU works.
• Build a Language Understanding model using Azure CLU.

Self-paced learning from Microsoft Learn

• Create a language model with Conversational Language Understanding
• Create a Language Understanding solution with Azure Cognitive Services