MS-20703-2 – Integrating MDM and Cloud Services with System Center Configuration Manager

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.

MS-20703-1 – Administering System Center Configuration Manager

This five-day course describes how to use Configuration Manager and its associated site systems to efficiently manage network resources. In this five-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize System Center Endpoint Protection, manage compliance, and create management queries and reports. Additionally, this course, in conjunction with Microsoft Official Course 20703-2A, helps certification candidates prepare for Exam 70-703: Administering System Center Configuration Manager and Cloud Services Integration.

MS-MCSE-Prod-SP2016 – FastTrack to MCSE Productivity through SharePoint 2016 Boot Camp old

Unitek Education’s FastTrack to MCSE Productivity through SharePoint 2016 teaches students how to plan and implement a SharePoint 2016 topology.

Unitek Education’s premier FastTrack to MCSE Productivity through SharePoint 2016 focuses on immigration as part of the new version of Office, making it easy for people to stay connected, access files anytime, and maintain messaging security. Unitek Education’s FastTrack to MCSE Productivity through SharePoint 2016 is designed to help you achieve new levels of reliability and performance across your organization.

MS-MCSA-MachineLearning – MCSA: Machine Learning

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).

MS-MCSA-DE with Azure – MCSA: Data Engineering with Azure

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).

MS-MCSA-BI Reporting – MCSA: BI Reporting

Earning an MCSA: BI Reporting demonstrates knowledge relevant to data analysis, data visualization, modeling, dashboards, and direct connectivity to data sources in Excel and Power BI. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

MS-20535 – Architecting Microsoft Azure Solutions for Developers

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.

MS-20537 – Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack

This five-day course will provide students with the key knowledge required to deploy and configure Microsoft Azure Stack.

MS-20773 – Analyzing Big Data with Microsoft R

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.

MS-20774 – Perform Cloud Data Science with Azure Machine Learning

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.