2024-2025 Winter UCR Certificate Online Class

Total $680

Description

Smart Cybersecurity with AI

Date & Time:

12/30/2024, 12/31/2024, 1/2/2025, 1/3/2025,

10:00 am -12:00 pm PST, Total 8 hours

Course Information:

Artificial Intelligence (AI) and machine learning (ML) technologies and techniques are being deployed for use in cybersecurity. These technologies include network anomaly detection, biometric authentication, data analytics to uncover fraud as well as spam detection. Attackers leverage advanced ML algorithms to gain an advantage on their potential targets. ML systems are susceptible to adversarial input perturbations impacting deep neural networks. It is critical to develop and deploy secure ML systems integrating software security best practices. This course will facilitate an understanding of Adversarial Machine Learning (AML), key types of attacks, defenses as well as fundamental properties for explainable AI systems. This course will examine the unique challenges for user trust in AI systems, identifying and managing bias in AI systems as well as critical issues related to AI and ML impact on cybersecurity.

* Articulate a taxonomy and terminology of Adversarial Machine Learning (AML).

* Articulate a conceptual hierarchy including key types of attacks, defenses, and consequences.

* Articulate the four principles for explainable artificial intelligence that comprise the fundamental properties for explainable AI systems.

* Identify the five categories of explainable AI and major classes of explainable algorithms.

* Identify the distinct requirements for machine learning systems as well as experimental psychology pertaining to interpretation and comprehension.

* Articulate the unique challenges for user trust in AI systems.

* Identify and manage bias in AI systems.

* Articulate the critical issues related to AI and ML, specifically AI \ ML impact on cybersecurity.

Tuition: $580 + $100 Registration Fee

Sample of Certificate

About the Instructor:

Eric A. Nielsen

M.H.A., CISSP, C|CISO, CCSP, HCISPP, CAP, CRISC

He is the CEO of Defense In-Depth Cybersecurity and specializes in cybersecurity curriculum content development. Mr. Nielsen has an established track record of accomplishments, demonstrating subject mastery and leading functional security teams in security operations, security engineering, and architecture, access and identity management, threat and vulnerability management, and security risk and compliance.

Mr. Nielson holds the following industry professional certificate: * Certified Enterprise Blockchain Architect (CEBA) ID# 43790341 * Certified Blockchain Security Expert (CBSE) ID# 43824996

* Certified NFT Professional (CNFTP) ID# 51008853

2024-2025 Winter UCR Certificate Online Class

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