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

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

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, Cyber Threat Intelligence, Governance, Security Engineering, Cyber Attacks, Cyber Governance, Threat Modeling, Application Security, Regulation and Legal Compliance, Encryption, Applied Machine Learning, Application Programming Interface (API), Data Security, Risk Management, and 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, General Data Protection Regulation (GDPR), Data Access, Security Management, Risk Management, Data Encryption Standard, NIST 800-53, Vulnerability Assessments, Threat Modeling, Threat Detection, Compliance Management, Security Strategy, Vulnerability, Cyber Risk, Security Software, Data Governance, Personally Identifiable Information, and Data Ethics

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Instructor

Matt Bushby
Macquarie University
15 Courses8,081 learners

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