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Certified Computer Vision Professional (CCVP)

The "Certified Computer Vision Professional (CCVP)" course teaches how to build, train, and deploy computer vision systems across industries. Learn object detection, facial recognition, and scene understanding using modern AI models. Vision systems are often deployed in security, surveillance, and autonomous vehicles — making them high-priority cybersecurity targets. You’ll gain insights on defending vision systems from spoofing, tampering, and adversarial attacks to ensure safety and privacy in real-world deployments.

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 fundamental principles of computer vision and image processing.
  • Apply computer vision techniques for image recognition, object detection, and image segmentation.
  • Develop computer vision models using machine learning and deep learning approaches.
  • Evaluate the performance of computer vision systems and address challenges in visual data analysis.
  • Explore the diverse applications of computer vision across various domains.
  • Computer vision can be used for surveillance and access control, impacting physical cybersecurity measures.

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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