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Storage for AI and ML Workloads Essentials
Specialize in AI storage solutions with "Storage for AI and ML Workloads Essentials." Learn to design storage systems tailored for AI and machine learning applications.
Course Overview
None
Learning Objectives
- Understand the unique storage requirements for AI and ML workloads.
- Explore techniques for optimizing storage systems for AI and ML.
- Learn about storage architectures that support high-performance AI.
- Identify challenges in managing data for AI and ML applications.
- Examine case studies of storage solutions for AI and ML systems.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.