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
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

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

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

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

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

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Instructor

Matt Bushby
Macquarie University
14 Courses6,377 learners

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