Machine Learning is no longer exclusively reserved for Python or some of the more ‘hipster’ languages. In this session, we’ll see how to create a sentiment analysis model and use C# with ML.NET to perform inference on it in a .NET MAUI app, enabling offline AI analysis directly on a mobile device.

We’ll also explore how Azure ML Studio can simplify the process of training a model. By combining Azure’s power with .NET tools, you’ll learn how to efficiently train models in the cloud and use ML.NET for inference in your mobile apps.

By the end of the session, you’ll have a solid understanding of how to tackle classification problems, perform inference using ML.NET, and deploy pre-trained models in .NET MAUI apps.