Description
In this course, we focus on how to manage and run experiments in Azure Machine Learning using Azure Machine Learning SDK. This course is part three of a three-part series, focusing on preparation for the DP-100 exam.This course will also include a review of course parts 1 and 2 as well as a comprehensive practice exam to help prepare you for the DP-100 exam.
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Syllabus
Syllabus Introduction Running Training Scripts in an Azure Machine Learning Workspace Automating the Model Training Process Using Automated ML to Create Optimal Models Using Hyperdrive to Tune Hyperparameters Using Model Explainers to Interpret Models Managing Models Deploying a Model as a Service Creating a Pipeline for Batch Inferencing Part 1 Review Part 2 Review Conclusion
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