Architecture of Artificial Intelligence Systems Essentials from Tonex, Inc.

Architecture of Artificial Intelligence Systems Essentials

"Architecture of Artificial Intelligence Systems Essentials" focuses on designing scalable, reliable AI infrastructures. Topics include data pipelines, model orchestration, and hardware-software co-design. Given AI's susceptibility to adversarial attacks, participants learn to embed security controls in architecture decisions, ensuring system robustness and trustworthiness.

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

Understand the architectural components of Artificial Intelligence systems.
Analyze different AI system architectures and their design patterns.
Evaluate the considerations for scalability, reliability, and performance in AI architectures.
Identify key challenges in designing secure and robust AI systems.
Discuss the impact of AI system architecture choices on overall cybersecurity posture.

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

Work Roles

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.