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DP-100 Part 3 - Deployment and Working with SDK

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Overview

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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.

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

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