Running Microsoft Workloads on AWS

Go to class
Write Review

Free Online Course: Running Microsoft Workloads on AWS provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Running Microsoft Workloads on AWS is taught by Brien Posey.

Overview
  • Learn how to run Microsoft workloads in the Amazon cloud. Find out how to set up Windows EC2 instances, create and join a Cloud Active Directory, and manage resources with Lightsail.

Syllabus
  • Introduction

    • Welcome
    • What you should know
    1. Create Infrastructure Components
    • Creating a security group
    • Create an S3 storage bucket
    • Explore an S3 bucket
    • Uploading and downloading data
    • Tags
    • Install AWS CLI
    2. EC2 Instances
    • Create a key pair
    • Create an EC2 instance
    • View an instance
    • Name an instance
    • Change an instance state
    • Configure Termination Protection
    3. Interact with an Instance
    • Retrieve an instance password
    • Connect to an instance
    • Share local resources with the instance
    • Change the instance type
    • Create a new storage volume
    • Attach a storage volume
    • Attach a new network interface
    4. Active Directory
    • Create a Microsoft Active Directory on AWS
    • Join an EC2 instance to a Cloud Active Directory
    • Manually join a Cloud Active Directory
    • Log into the Cloud AD environment
    • Install the AD DS and AD LDS tools
    • Create Cloud AD users and groups
    5. Application Deployment
    • Copy application binaries to a Windows instance
    • Use an ISO file for application installation
    • Install applications from a physical DVD
    • Using the AWS Marketplace
    6. Lightsail
    • Lightsail advantages and limitations
    • Create a Lightsail instance
    • Connect to a Lightsail instance
    • Manage network resources
    • Manage storage resources
    • Manage snapshots
    Conclusion
    • Next steps