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Cyber Security: Essentials for AI
Coursera
Specialization
Unknown

Cyber Security: Essentials for AI

Macquarie University

Explore how AI transforms cybersecurity using machine learning techniques to detect threats, identify risks, and protect systems from advanced attacks.

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About this Course

This Specialization brings together three advanced courses Cyber Security: Application of AI, Cyber Security: Security of AI, and Cyber Security: Data Security and Information Privacy, to give learners a comprehensive foundation at the cutting edge of cyber security. It is designed for professionals who want to understand how AI is transforming both the opportunities and the risks in digital security, and for leaders who need to build resilient systems that inspire trust. You’ll begin with the practical application of AI in cyber defence, exploring how machine learning and intelligent systems can detect anomalies, predict attacks, and automate responses at a scale beyond human capability. You’ll then focus on securing AI systems themselves, learning how to identify vulnerabilities in algorithms, defend against adversarial inputs, and strengthen the resilience of AI models used in critical business and government systems. Finally, you’ll dive into the essential principles of data security and information privacy, mastering how to safeguard sensitive information, ensure compliance with global regulations, and apply privacy-preserving technologies. Developed by Macquarie University’s Cyber Skills Academy, ranked in the top 1% of universities globally and recognised as Australia’s leading cyber security school. By the end, you’ll be able to leverage AI as a powerful tool for defence, secure AI systems from manipulation, and implement robust data protection frameworks

What You'll Learn

  • Apply AI and machine learning to detect cyber threats
  • Identify AI system vulnerabilities and defend against attacks
  • Implement data security and privacy frameworks
  • Design privacy-preserving methods

Prerequisites

  • Basic computer and internet skills
  • Ability to follow course instructions and complete exercises

Instructors

M

Matt Bushby

Topics

Computer Security and Networks
Computer Science
Grasp core AI and ML concepts for cyber threat detection and defence
Apply machine learning to analyse malware and detect network anomalies
Identify emerging threats targeting AI systems and applications
Apply defences to protect AI from adversarial attacks and model leakage
Understand key risks to data security and privacy in digital environments
Apply de-identification and anonymisation methods to protect sensitive data

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

أمن الحاسوب والشبكات
العلم الحاسوبي
مفاهيم الذكاء الاصطناعي والتعلم الآلي
تحليل البرمجيات الخبيثة
رصد الأنماط الشبكية
حماية الأنظمة الذكية
مخاطر خصوصية البيانات
تطبيقات الخصوصية

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