Macquarie University
Cyber Security: Data, Privacy and AI Security Specialization
Macquarie University

Cyber Security: Data, Privacy and AI Security Specialization

Protect Data, Ensure Privacy, Secure AI. Develop in-demand skills to protect sensitive data, ensure privacy, and secure AI.

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

  • Secure sensitive data using advanced protection and de-identification techniques.

  • Apply global privacy frameworks to ensure compliance and reduce risk.

  • Conduct privacy impact assessments and manage incident response effectively.

  • Defend AI systems against adversarial attacks and build robust, trustworthy models.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

September 2025

36 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

  • Build and maintain accurate data inventories to track and govern personal information.

  • Apply Privacy by Design principles to embed safeguards across systems and services.

  • Conduct Privacy and Algorithmic Impact Assessments to identify and mitigate risks.

  • Use de-identification techniques while managing re-identification vulnerabilities.

Skills you'll gain

Incident Response, General Data Protection Regulation (GDPR), Responsible AI, Information Privacy, Governance, Cyber Security Strategy, Cyber Security Policies, Data Management, Personally Identifiable Information, Law, Regulation, and Compliance, Data Security, Data Science, Algorithms, Artificial Intelligence, Data Ethics, Data Governance, Compliance Management, Cybersecurity, Risk Analysis, and Cyber Operations

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

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Matt Bushby
Macquarie University
15 Courses7,713 learners

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