This is a three-day Instructor Led Training (ILT) course that describes mobile device management (MDM) technologies and the integration of various online cloud services with Microsoft System Center Configuration Manager. This course focuses on both hybrid MDM using Microsoft Intune, and the on-premises MDM scenario. This course also covers integration with online services such as Microsoft Store for Business, Microsoft Office 365, and Microsoft Azure.
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).
Earning an MCSA: Data Engineering with Azure demonstrates knowledge relevant to the design and building of analytics and operational solutions on Azure as well as the implementation of big data engineering workflows on HDInsight. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
This course is intended for architects who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have a thorough understanding of most services offered on the Azure platform. The students typically work for organizations that have an active solution on Azure and are planning to enhance existing solutions or deploy more solutions to the Azure platform. This course also is intended for architects who want to take the Microsoft Certification exam, 70-535, Architecting Microsoft Azure Solutions.
This five-day course will provide students with the key knowledge required to deploy and configure Microsoft Azure Stack.
The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database.
The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.
The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight.
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.
This workshop is a chance for developers and IT Pros to come together and learn the architecture skills necessary to design solutions for Microsoft Azure. The classroom experience for this workshop is high-level review of the pre-requisite materials students are expected to have completed in advance. Then, students will assemble into groups to work on several real-world design case studies to design solutions for the Microsoft Azure platform.