MS-MCSA-MachineLearning MCSA: Machine Learning (MS-MCSA-MachineLearning)

It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
  • Virtual Classroom

    Learning Style
  • Intermediate

    Difficulty
  • 6 Days

    Course Duration
  • 8 Days

    SATV Value
Pricing
About Individual Course:
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$4,095.00
$4,095.00
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It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

About this course:

Earning an MCSA: Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

Course Objective:

After completing this course, students will be able to:

  • Explain machine learning, and how algorithms and languages are used
  • Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio
  • Upload and explore various types of data to Azure Machine Learning
  • Explore and use techniques to prepare datasets ready for use with Azure Machine Learning
  • Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning
  • Explore and use regression algorithms and neural networks with Azure Machine Learning
  • Explore and use classification and clustering algorithms with Azure Machine Learning
  • Use R and Python with Azure Machine Learning, and choose when to use a particular language
  • Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models
  • Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models
  • Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure MachineLearning
  • Explore and use HDInsight with Azure Machine Learning
  • Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server

Audience:

  • The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning.
  • The secondary audience is IT professionals, Developers , and information workers who need to support solutions based on Azure machine learning.

Prerequisite:

  • Programming experience using R, and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.

Suggested prerequisite course:

Architecting Microsoft Azure Solutions (MS-20535)

 

More Information
Brand Microsoft
Lab Access No
Technology Microsoft
Learning Style Virtual Classroom
Difficulty Intermediate
Course Duration 6 Days
Language English
SATV Value 8 Days
VPA Eligible VPA Eligible
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