DP-100: Designing and Implementing a Data Science Solution on Azure Course Outline

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.

*** NOTE: This class also available in On-Demand, eLearning Format ***
Too busy to attend this class during the work day? Consider the Microsoft On-Demand, self-study version of this course. Watch expert lectures and demonstrations, work with hands-on labs, and study at your own pace. For details on this economical alternative format see Microsoft On-Demand: Designing and Implementing a Data Science Solution on Azure (DP-100)

Audience profile
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

Prerequisites
Before attending this course, students must have:
• Azure Fundamentals Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
• Python programming ability and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.

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• Microsoft Exam Reference Guide
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• Practice Exam Software
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**Call our office to order the Exam Pak when registering for this class. Exam Paks are only available with this promotion when you register for your class. This promotion is valid on new registrations only and cannot be combined with other offers.**

COURSE OUTLINE

Module 1: Doing Data Science on Azure
The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process.
Lessons
Introduce the Data Science Process
Overview of Azure Data Science Options
Introduce Azure Notebooks

Module 2: Doing Data Science with Azure Machine Learning service
The student will learn how to use Azure Machine Learning service to automate the data science process end to end.
Lessons
Introduce Azure Machine Learning (AML) service
Register and deploy ML models with AML service

Module 3: Automate Machine Learning with Azure Machine Learning service
In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it.
Lessons
Automate Machine Learning Model Selection
Automate Hyperparameter Tuning with HyperDrive

Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service.
Lessons
Manage and Monitor Machine Learning Models

View outline in Word

ADP100

Attend hands-on, instructor-led DP-100: Designing and Implementing a Data Science Solution on Azure training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Azure Courses and select the one that's right for you.