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.
Overview
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
Taught by
Brian Roehm
