Macquarie University
Cyber Security: Essentials for AI Specialization

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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

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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.

Overview

What’s included

Shareable certificate

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Taught in English
Recently updated!

September 2025

31 practice exercises

Advance your subject-matter expertise

  • 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

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

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

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

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Instructor

Matt Bushby
Macquarie University
15 Courses8,529 learners

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