MCSA: Machine Learning

Description

This six-day boot camp is intended to give students an in-depth learning about Microsoft Azure Machine Learning and Big Data with R Server and SQL R Services. By taking this course, you will complete the first step to becoming Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

This program consists of both Analyzing Big Data with Microsoft R (20773) and Perform Cloud Data Science with Azure Machine Learning. Once you have completed this boot camp, in order to become MCSE certified you must the Exam 70-733: Analyzing Big Data with Microsoft R and Exam 70-744 Perform Cloud Data Science with Azure Machine Learning. 

 

Once a student has completed this course, they will be able to: 

  • Deploy HD Insight Clusters
  • Authorizing Users to Access Resources 
  • Loading Data into HDInsight 
  • Troubleshooting HDInsight
  • Implement Batch Solutions
  • Design Batch ETL Solutions for Big Data with Spark
  • Analyze Data with Spark SQL
  • Analyze Data with Hive and Phoenix
  • Describe Strem Analytics
  • Implement Spark Streaming Using the DStream API
  • Develop Big Data Real-Time Processing Solutions with Apache Storm
  • Build Solutions that use Kafka and HBase
  • Explain machine learning and how algorithms and languages are used
  • Describe the purpose of Azure Machine Learning, and is 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 Machine 
  • 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 to Support R Services.  
Contact Us

THE ACADEMY

1.800.482.3172

FTL: 954.351.7040

MIA: 305.648.2000


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