Macquarie University
Cyber Security: Essentials for AI Specialization
Macquarie University

Cyber Security: Essentials for AI Specialization

Security Essentials for Artificial Intelligence. Harness AI to defend systems, secure data, and protect against evolving cyber threats

Matt Bushby

Instructor: Matt Bushby

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Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans
Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans

What you'll learn

  • Apply AI and machine learning techniques to detect, analyse, and respond to cyber threats.

  • Identify vulnerabilities in AI systems and defend against adversarial and malicious attacks.

  • Implement data security and privacy frameworks that meet global compliance standards.

  • Design and apply privacy-preserving methods to protect sensitive data in real-world contexts.

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Taught in English
Recently updated!

September 2025

31 practice exercises

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Macquarie University

Specialization - 3 course series

What you'll learn

  • Understand core AI and ML concepts applied to cyber threat detection and defence.

  • Use machine learning to analyse malware and detect anomalies in networks.

  • Explore AI-driven tools for fraud prevention and incident response.

  • Identify and defend against adversarial attacks on AI systems.

Skills you'll gain

Machine Learning, Applied Machine Learning, Anomaly Detection, Malware Protection, Network Analysis, Machine Learning Methods, Fraud detection, Threat Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Cyber Threat Intelligence, Threat Modeling, Intrusion Detection and Prevention, MLOps (Machine Learning Operations), Cybersecurity, Data-Driven Decision-Making, and Cyber Security Strategy

What you'll learn

  • Identify emerging threats targeting AI systems and applications.

  • Apply defences to protect AI from adversarial attacks and model leakage.

  • Evaluate AI security controls, testing methods, and trade-offs.

  • Understand regulation, responsible AI principles, and future risks.

Skills you'll gain

Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Security Controls, Cybersecurity, DevSecOps, Governance, Application Programming Interface (API), Cyber Attacks, Cyber Threat Intelligence, Risk Management, Data Security, Application Security, Applied Machine Learning, Threat Modeling, Machine Learning, Regulation and Legal Compliance, Cyber Governance, Security Engineering, and Encryption

What you'll learn

  • Understand key risks to data security and privacy in digital environments.

  • Apply de-identification and anonymisation methods to protect sensitive data.

  • Navigate global privacy frameworks like GDPR and local legal obligations.

  • Implement controls to secure data across storage, access, and sharing systems.

Skills you'll gain

Information Privacy, Data Security, Cybersecurity, Compliance Management, Data Governance, Security Strategy, Security Management, Data Access, General Data Protection Regulation (GDPR), Risk Management, Threat Detection, Vulnerability, Data Ethics, Personally Identifiable Information, Vulnerability Assessments, NIST 800-53, Threat Modeling, Cyber Risk, Security Software, and Data Encryption Standard

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Instructor

Matt Bushby
Macquarie University
15 Courses7,672 learners

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