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  4. Train models, Tune Parameters, and Deploy to Production or the Edge with MATLAB and Simulink

Train models, Tune Parameters, and Deploy to Production or the Edge with MATLAB and Simulink

Train models, tune parameters, and deploy them to production or edge devices seamlessly with MATLAB and Simulink.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Train and validate machine learning models with MATLAB.
  • Tune model parameters for optimal performance.
  • Deploy models to edge devices or production systems.
  • Simulate model performance in real-world applications.
  • Automate deployment pipelines for continuous integration.

    • 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):

    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.

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