DP-100T01 Designing and Implementing a Data Science Solution on Azure
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9:00am - 4:30pm
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
AUDIENCE AND PREREQUISITES
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
- Azure Fundamentals
- Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
- How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
*Course cost listed does not include the cost of courseware or lunch. Course is subject to minimum enrollment. Course may run virtually as a Virtual Instructor-Led (VILT) class if minimum enrollment is not met.
Note: This course is eligible for Microsoft SATVs.
Module 1: Doing Data Science on Azure Introduce the Data Science Process Overview of Azure Data Science Options Introduce Azure NotebooksModule 2: Doing Data Science with Azure Machine Learning service Introduce Azure Machine Learning (AML) service Register and deploy ML models with AML serviceModule 3: Automate Machine Learning with Azure Machine Learning service Automate Machine Learning Model Selection Automate Hyperparameter Tuning with HyperDriveModule 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service Manage and Monitor Machine Learning Models