Designing and Implementing a Data Science Solution on Azure (DP-100)
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.
Who should attend
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
Certifications
This course is part of the following Certifications:
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.
- How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
Course Content
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
Classroom Training
Duration 3 days
Price (excl. tax)
- Germany: 1,890.- €
-
SA Voucher:
3
hardcoded default SA
Courseware language: English
Germany
Switzerland
Austria
Europe
Bulgaria
Time zone: Europe/Sofia
Czech Republic
Time zone: Europe/Prague
France
Greece
Time zone: Europe/Athens
Hungary
Time zone: Europe/Budapest
Ireland
Time zone: Europe/Dublin
Time zone: Europe/Dublin
Time zone: Europe/Dublin
Italy
Netherlands
Poland
Time zone: Europe/Warsaw
Romania
Time zone: Europe/Bucharest
Serbia
Time zone: Europe/Belgrade
Slovakia
Time zone: Europe/Bratislava
Slovenia
Time zone: Europe/Ljubljana
Spain
Sweden
Time zone: Europe/Stockholm
Time zone: Europe/Stockholm
Time zone: Europe/Stockholm
United Kingdom
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
Time zone: Europe/London
North America
United States
Canada
Latin America
Argentina
Time zone: America/Buenos_Aires
Colombia
Time zone: America/Bogota
Costa Rica
Time zone: America/Costa_Rica









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