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AI for Space-Based Surveillance and Reconnaissance Systems Essentials

The "AI for Space-Based Surveillance and Reconnaissance Systems Essentials" course equips learners with knowledge of how AI enhances target detection, anomaly recognition, and autonomous surveillance from orbit. Topics include satellite tasking automation, predictive intelligence, and deep learning at the edge. As space-based assets are increasingly vulnerable to cyber interference, the course stresses securing AI models, communication links, and onboard processing systems. Participants will learn to build resilient, self-healing ISR systems capable of maintaining trusted operation in contested environments.

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, Instructor-Led
  • Online, Instructor-Led

Learning Objectives

  • Understand the essentials of AI for space-based surveillance and reconnaissance.
  • Analyze AI algorithms for object detection, tracking, and anomaly detection in space.
  • Evaluate the applications of AI in enhancing space situational awareness.
  • Identify the unique challenges of AI deployment in space environments.
  • Consider the critical role of cybersecurity in protecting AI-driven space surveillance systems from cyber threats and data breaches.

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(link sends email). 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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