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Designing and Implementing a Data Science Solution on Azure (DP-100.1)

This course teaches about the data science process and how Microsoft Azure services support it. A high level overview of Azure data science related services is provided followed by a deep dive on the premier data science service, Azure Machine Learning service, which supports automation of machine learning model training and deployment.

Self-Paced

Learning Style

Intermediate

Difficulty

16 Hours

Course Duration

Course Info

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This course teaches about the data science process and how Microsoft Azure services support it. A high level overview of Azure data science related services is provided followed by a deep dive on the premier data science service, Azure Machine Learning service, which supports automation of machine learning model training and deployment.

Course Information

About this Course:

This course teaches about the data science process and how Microsoft Azure services support it. A high level overview of Azure data science related services is provided followed by a deep dive on the premier data science service, Azure Machine Learning service, which supports automation of machine learning model training and deployment

Although some basic data science concepts are presented, it is assumed the student has an understanding a data science and machine learning prior to taking this course. The course teaches how to bring your data science work to Azure.

Course Objectives:

  • How to configure Azure Cognitive Services accounts
  • How to consume Cogtnitive Services in an application
  • How to build simple chat bots
  • How to integrate LUIS into a Bot

Audiences:

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

Prerequisites

Students taking this course should have the following knowledge;

  • 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.

Outline

More Information

More Information
Brand Microsoft
Subjects Cloud Computing
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 16 Hours
Language English

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