Installation, Storage, and Compute with Windows Server Course Overview

To ensure that you have the best learning experience in the "Installation, Storage, and Compute with Windows Server" course, the following are the minimum prerequisites:

• Basic understanding of networking fundamentals, including TCP/IP, User Datagram Protocol (UDP), and Domain Name System (DNS).
• Experience with Microsoft Hyper-V and basic knowledge of virtualization technologies.
• Familiarity with Windows Server operating systems and their core functionality.
• A grasp of basic security best practices.
• Experience with Windows Client operating systems such as Windows 8, Windows 8.1, or Windows 10.
• Basic knowledge of server hardware. Understanding of storage technologies and concepts is beneficial but not essential.
• An understanding of Active Directory Domain Services (AD DS) principles and fundamentals of AD DS management.
• Basic knowledge of scripting and Windows PowerShell syntax.

These prerequisites are designed to provide a baseline for the educational content you will encounter in the course, allowing you to fully engage with the material and gain the most from your training experience.

Target Audience for Installation, Storage, and Compute with Windows Server

1. This course offers comprehensive training on Windows Server installation, storage, and compute features for IT professionals.

   
   

2. Target audience and job roles for the course include:

   
   

• System administrators and engineers responsible for managing Windows Server environments.
• IT professionals seeking to upgrade their skills to Windows Server 2016/2019.
• Network administrators aiming to implement and maintain enterprise storage solutions.
• Technical support personnel specializing in Windows Server infrastructure.
• Professionals preparing for Microsoft certification exams related to Windows Server.
• Datacenter operators focusing on virtualization and containerization with Hyper-V and Docker.
• Disaster recovery specialists interested in high availability and failover clustering.
• Infrastructure architects designing scalable and resilient server deployments.
• IT consultants providing strategic guidance on Windows Server technologies.
• Cloud technicians involved with server migrations and deployments in cloud environments.
• Storage administrators managing DAS, NAS, or SANs, and looking to utilize Windows Server storage features.
• Professionals interested in learning about network load balancing and deployment image management.
• Virtualization specialists managing Hyper-V environments and virtual machine installations.

Learning Objectives - What you will Learn in this Installation, Storage, and Compute with Windows Server?

Introduction to Learning Outcomes:

Gain mastery over Windows Server installation, storage, and compute features, including server upgrades, migrations, local and enterprise storage solutions, Hyper-V, high availability, and disaster recovery.

Learning Objectives and Outcomes:

• Understand and perform Windows Server installation, upgrade, and migration processes effectively.
• Configure and manage both local storage and enterprise storage solutions like DAS, NAS, and SANs.
• Implement and manage advanced storage features like Storage Spaces and Data Deduplication.
• Install and configure Hyper-V for virtualization and manage virtual machine installations.
• Deploy and manage Windows Server and Hyper-V containers using Docker.
• Plan and implement high availability and disaster recovery solutions using failover clustering and Hyper-V.
• Create and configure Network Load Balancing (NLB) clusters for improved resource distribution.
• Create and manage deployment images using Microsoft Deployment Toolkit (MDT) for efficient server deployment and automation.
• Utilize Windows Server Update Services (WSUS) for update management and apply best practices for maintaining virtual machine installations.
• Monitor, maintain, and troubleshoot Windows Server installations using Windows Server monitoring tools, Performance Monitor, and event logs.