Centralizing Operations Using AWS Systems Manager LP Introduction
Centralizing Operations Using AWS Systems Manager

This course introduces the Centralizing Operations Using AWS Systems Manager learning path, designed to help you learn about the AWS Systems Manager and its fundamental features. We will introduce the following:

  • The basic setup required to enable Systems Manager in your instances
  • How to manage fleets of instances for large-scale execution of scripts and patching
  • How to secure sensitive data like access keys, passwords, and other private datasets using Parameter Store

Centralizing Operations using AWS Systems Manager Learning Path

Hello and welcome to this Cloud Academy learning path.  You will be presented with AWS Systems Manager as a collection of features that will permit you to manage your machine fleet at scale in AWS, your own data center or even other cloud platforms.

AWS Systems Manager is a secure end to end management solution for resources on AWS, on your data center, and other cloud providers.  It has grown to support over 20 different features allowing you to accelerate detection and resolution of operational issues.  It also provides tools to automate configuration and management of your applications including patching and custom configurations.  

If you have any questions about the material being discussed, please, feel free to contact me using the details on the screen, as an alternative, you can always get in touch with us here at Cloud Academy by sending an email to: where one of our Cloud experts will reply to your question. 

This learning path will focus on AWS systems manager and it’s fundamental features.  We will introduce the basic set up required to enable systems manager in your instances, how to manage fleets of instances for large-scale execution of scripts and patching as well as how to secure sensitive data like access keys, passwords and other private datasets using parameter store.  

Who should attend this course? This course is intended for solutions architects, systems operators and developers looking to understand  how to set up and use AWS Systems manager for centralizing systems operations and remediations. 

This course will discuss what is systems manager and what you can do in terms of systems operations at scale. We start by discussing what is required to start using systems manager, how to manage fleets of instances including executing scripts, patching and managing state.  We also discuss systems manager parameter store, maintenance windows and state manager including some hands-on labs for you to get practical experience. 

To get the most out of this learning path you should meet the requirements for any of the associate level certifications by AWS. These are the Solutions Architect, Developer or Sysops administrator associate certifications. Having the equivalent experience will also be sufficient. 

Feedback on our courses here at Cloud Academy is valuable to us as trainers and any other students looking to take the same course in the future. If you have any feedback, positive or otherwise, Please, share it with us by sending an email to

At the time of writing this content, all course information was accurate. AWS implements hundreds of updates every month as part of its ongoing drive to innovate and enhance its services. As a result, minor discrepancies may appear in the course content over time. Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available. If you notice any information that is outdated, please contact This will allow us to update the course during its next release cycle. 

About the Author
Jorge Negrón
AWS Content Architect
Learning Paths

Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).

Covered Topics