Macquarie University
Cyber Security: Essentials for AI 专项课程
Macquarie University

Cyber Security: Essentials for AI 专项课程

Security Essentials for Artificial Intelligence. Harness AI to defend systems, secure data, and protect against evolving cyber threats

Matt Bushby

位教师:Matt Bushby

包含在 Coursera Plus

深入学习学科知识
初级 等级
无需具备相关经验
4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
初级 等级
无需具备相关经验
4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • 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.

要了解的详细信息

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授课语言:英语(English)
最近已更新!

September 2025

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专业化 - 3门课程系列

Cyber Security: Application of AI

Cyber Security: Application of AI

第 1 门课程15小时

您将学到什么

  • 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.

您将获得的技能

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

Cyber Security: Security of AI

第 2 门课程13小时

您将学到什么

  • 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.

您将获得的技能

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

您将学到什么

  • 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.

您将获得的技能

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

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Matt Bushby
Macquarie University
15 门课程7,136 名学生

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