Chapter 6: Visual Model Training and Publishing
Azure Machine Learning (AzureML) Studio offers a designer experience when developing a model by allowing you to drag, drop, and configure training and inference pipelines. In this chapter, you will get an overview of the designer. You will then create a training process. Once you have seen the overall flow that's used with the designer, we will close this chapter by creating an inference pipeline and publishing the trained model artifact as a service endpoint.
In this chapter, we will cover the following topics:
- Overview of the designer
- Designing a training process
- Creating a batch and real-time inference pipeline
- Deploying a real-time inference pipeline
