DP-100T01 Designing and Implementing a Data Science Solution on Azure
CLASS DATE(s):
8/18/2020 - 8/20/2020
10/20/2020 - 10/22/2020

COURSE LENGTH: 3 Days

COURSE COST: $1495

COURSE TIMES: 9:00am - 4:30pm

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COURSE OVERVIEW

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.

COURSE TOPICS:


Module 1: Doing Data Science on Azure
Introduce the Data Science Process
Overview of Azure Data Science Options
Introduce Azure Notebooks

Module 2: Doing Data Science with Azure Machine Learning service
Introduce Azure Machine Learning (AML) service
Register and deploy ML models with AML service

Module 3: Automate Machine Learning with Azure Machine Learning service
Automate Machine Learning Model Selection
Automate Hyperparameter Tuning with HyperDrive

Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
Manage and Monitor Machine Learning Models