中This course introduces AI security and explores how AI technologies such as ChatGPT and DALL-E are transforming industries and the critical role of security in these implementations. You'll learn about myriad threats facing AI systems, including data poisoning and model inversion attacks, and learn to defend against these using the MITRE ATLAS framework. You'll cover the principles of secure AI development, emphasizing privacy-preserving techniques, model resilience, and adherence to emerging regulations. By the end of this course, you will have a comprehensive understanding of how to develop and secure AI systems ethically and effectively.
Practical Cybersecurity Fundamentals: Unit 5
您将学到什么
Understand AI security fundamentals and the importance of securing AI implementations.
Identify and mitigate AI-specific threats using frameworks like MITRE ATLAS.
Master secure AI development practices, including privacy-preserving techniques and model resilience.
Navigate the ethical and legal landscape of AI, ensuring compliance with emerging regulations.
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最近已更新！
July 2025
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Practical Cybersecurity Fundamentals 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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