In this course, students will learn to plan and execute an endpoint deployment strategy using contemporary deployment techniques and implementing update strategies. The course introduces essential elements of modern management, co-management approaches, and Microsoft Intune integration. It covers app deployment, management of browser-based applications, and key security concepts such as authentication, identities, access, and compliance policies. Technologies like Azure Active Directory, Azure Information Protection, and Microsoft Defender for Endpoint are explored to protect devices and data.
MD-102 Explore endpoint management
MD-102 Execute device enrollment
MD-102 Configure profiles for user and devices
MD-102 Examine application management
MD-102 Manage authentication and compliance
MD-102 Manage endpoint security
MD-102 Deploy using on-premises based tools
MD-102 Deploy using cloud based tools
The Microsoft 365 Endpoint Administrator is responsible for deploying, configuring, securing, managing, and monitoring devices and client applications in a corporate setting. Their duties include managing identity, access, policies, updates, and apps. They work alongside the M365 Enterprise Administrator to develop and execute a device strategy that aligns with the requirements of a modern organization. Microsoft 365 Endpoint Administrators should be well-versed in M365 workloads and possess extensive skills and experience in deploying, configuring, and maintaining Windows 11 and later, as well as non-Windows devices. Their role emphasizes cloud services over on-premises management technologies.
NOK 27.000
COURSE CONTENT: Module 1: Managing computers and mobile devices in the enterprise This module describes the features of Configuration Manager that you can use to perform complex management tasks,…
COURSE CONTENT: Plan an Azure Virtual Desktop implementation • Azure Virtual Desktop Architecture • Design the Azure Virtual Desktop architecture • Design for user identities and profiles Implement an…
COURSE CONTENT: Module 1: Design a machine learning solution • There are many options on Azure to train and consume machine learning models. Which service best fits your scenario…
We use cookies to improve your experience, including essential cookies required for the website to function. By continuing, you agree to our use of cookies. Learn more.