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Certified AI Security Engineer – Cloud-Native (CAISE-CN)

"Certified AI Security Engineer – Cloud-Native (CAISE-CN)" offers in-depth training on securing AI applications built on modern cloud-native platforms. Explore container security, Kubernetes risks, and CI/CD pipeline protections tailored to intelligent workloads.

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 cloud-native security principles for AI applications.
  • Design and implement secure AI deployments in cloud-native environments.
  • Apply security best practices for containerized and serverless AI applications.
  • Manage security configurations and access controls for cloud-based AI services.
  • Mitigate cloud-native specific security threats in AI 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):

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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