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

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

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

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

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

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Instructor

Matt Bushby
Macquarie University
15 Courses8,073 learners

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