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We acknowledge the Traditional Owners of the land where we work and live. We pay our respects to Elders past, present and emerging and celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land.

© 2026 Philled Pty Ltd, trading as Workinitiatives. All rights reserved.

We acknowledge the Traditional Owners of the land where we work and live. We pay our respects to Elders past, present and emerging and celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land.

CyberCert Diamond Level 5
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All coursesArtificial Intelligence (AI) courses

AI for Cybersecurity Specialization

Johns Hopkins University

|

12 weeks to complete at 5 hours a week

In a nutshell

This Specialization is designed to help you master advanced AI techniques for detecting and mitigating various cybersecurity threats, ensuring robust protection against evolving digital risks. Through hands-on projects, you will develop expertise in areas like AI-driven fraud prevention, malware analysis, and adversarial attack mitigation, preparing you for a career in the rapidly evolving field of AI-driven cybersecurity.

What you'll need to get in

This Specialization is recommended for post-graduate students with a background in cybersecurity, AI, and programming. Familiarity with basic cybersecurity concepts, AI principles, and experience with programming and data analysis is required. The curriculum covers advanced topics, so a strong foundation in these areas is essential for success.

Subject breakdown

The three courses in this Specialization cover a comprehensive range of topics in AI-driven cybersecurity. You will start by exploring the fundamentals of using AI techniques to detect and mitigate cyber threats, including spam/phishing detection and biometric authentication. The second course delves into advanced malware and network anomaly detection, teaching you to implement machine learning algorithms for efficient malware classification and network traffic analysis. The final course focuses on securing AI systems, covering topics like Generative Adversarial Networks (GANs), adversarial attacks, and feature engineering for optimizing AI models in cybersecurity applications.

Why this provider?

Johns Hopkins University is a renowned institution with a strong reputation in cybersecurity education and research. The faculty leading this Specialization are experts in the field, with extensive experience in developing practical AI-driven solutions for real-world cybersecurity challenges. By completing this program, you will gain industry-relevant skills and a deep understanding of how to leverage AI to enhance digital security, making you a valuable asset in the rapidly evolving field of cybersecurity.

Where will this course take you?

Upon completion of this Specialization, you will be well-equipped to pursue a career in AI-driven cybersecurity. You will have the skills to design and implement advanced AI-based solutions for detecting and mitigating a wide range of cyber threats, from malware and network anomalies to credit card fraud and adversarial attacks. This knowledge will make you a sought-after professional in fields such as security engineering, threat intelligence, incident response, and cybersecurity research and development.

Overview

Provider

Johns Hopkins University

Study mode

Online

Location

--

Qualification

Specialization - 3 course series

Course fee

Enroll for free

Start date

Starts Apr 8

Find out if this course is right for you

You will be redirected to the training provider to enquire directly. Workinitiatives is not the course or training provider. We aggregate and list courses only.

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