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Cyber Security: Data, Privacy and AI Security
Coursera
Specialization
Unknown

Cyber Security: Data, Privacy and AI Security

Macquarie University

The Cyber Security: Data, Privacy, and AI Security Specialization is designed to give you the critical skills needed to protect organisations in today’s data-driven and AI-powered world.

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About this Course

The Cyber Security: Data, Privacy, and AI Security Specialization is designed to give you the critical skills needed to protect organisations in today’s data-driven and AI-powered world. Bringing together three advanced courses Cyber Security: Data Security and Information Privacy, Cyber Security: Data Privacy, and Cyber Security: Security of AI, this program blends technical expertise, regulatory insight, and forward-looking strategy. You’ll start by mastering the fundamentals of data security and information privacy, learning how to identify risks, apply de-identification techniques, and implement frameworks that ensure compliance with global regulations such as GDPR, HIPAA, and CCPA. From there, you’ll explore how to embed privacy by design across systems and processes, conduct privacy impact assessments, and respond effectively to incidents. Finally, you’ll advance into one of the most pressing frontiers of cyber security: securing AI. You’ll understand how adversarial attacks threaten machine learning models, learn strategies to defend against manipulation, and explore techniques for building robust, trustworthy AI systems. Developed by Macquarie University’s Cyber Skills Academy, ranked in the top 1% of universities globally. By the end, you will have the knowledge and applied experience to lead privacy initiatives, secure sensitive data, and protect AI systems, positioning yourself as a forward-looking cyber leader

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

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

M

Matt Bushby

Topics

Computer Security and Networks
Computer Science
Build and maintain accurate data inventories to track and govern personal information
Apply Privacy by Design principles to embed safeguards across systems and services
Understand key risks to data security and privacy in digital environments
Apply de-identification and anonymisation methods to protect sensitive data
Identify emerging threats targeting AI systems and applications
Apply defences to protect AI from adversarial attacks and model leakage

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الأمن السيبراني
حماية البيانات
أمن الذكاء الاصطناعي
الخصوصية الرقمية
Understand key risks to data security and privacy in digital environments
Apply de-identification and anonymisation methods to protect sensitive data
Identify emerging threats targeting AI systems and applications
Apply defences to protect AI from adversarial attacks and model leakage

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