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Integrating AI in Technical Decision-Making Training
The "Integrating AI in Technical Decision-Making Training" prepares participants to leverage AI for smarter, faster technical decisions while accounting for cybersecurity risks inherent in AI systems. AI decision support must be secure, as adversaries increasingly target algorithms and data. Participants will learn to develop and utilize AI-driven insights safely, ensuring decisions improve outcomes without exposing systems to new threats.
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
Learning Objectives
- Understand the fundamentals of integrating Artificial Intelligence (AI) in technical decision-making.
- Explore various AI techniques and their applications in engineering.
- Learn how to leverage AI for data analysis, prediction, and optimization.
- Evaluate the ethical considerations and biases in AI-driven decisions.
- Enhance the efficiency and effectiveness of technical decision-making processes; *AI can be a powerful tool for cybersecurity threat detection and response, but its implementation requires careful consideration of security implications.*
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.
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