From the course: Microsoft Azure Machine Learning Fundamentals

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Deploy and consume your model

Deploy and consume your model

From the course: Microsoft Azure Machine Learning Fundamentals

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Deploy and consume your model

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In Lesson 4, we are going to see how to deploy and monitor our models. So this lesson is very practical for us, and it helps us to go a step beyond just being a data scientist on a laptop. And it's here really that the platform Azure Machine Learning shines, because to deploy a model is not something easy to do from an engineering point of view. But here with the platform is very simple. So let's see how to do it together. We are going to see how to deploy and consume models. Then we are going to talk about CI/CD with machine learning, very complex and powerful topic. Then we'll talk about data drift and also monitoring our models with Application Insights. And then we'll have some demo on deploy and consume your model. There are two ways of deploying and consuming a model. We can do it in real-time, or we can do it with batch. So we'll expand both ways. We'll see in which case we should which. Well, let's start with real-time. So the idea of real-time inferencing is that we deploy…

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