DP-100 Part 3 - Deployment and Working with SDK
Offered By: A Cloud Guru
Course Description
Overview
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
Related Courses
DP-100 Part 1 - PreparationA Cloud Guru DP-100 Part 2 - Modeling
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