The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards. This course is designed to equip learners with the necessary knowledge and skills to safeguard AI systems against emerging threats, ensuring their integrity and reliability. It's ideal for developers, security professionals, and anyone interested in understanding and enhancing the security of AI software and services.

Security for Artificial Intelligence Software and Services

位教师:Board Infinity
访问权限由 New York State Department of Labor 提供
您将学到什么
Understand key concepts and challenges in AI security.
Develop skills in secure coding and vulnerability assessment for AI systems.
Learn to implement and manage secure AI APIs and endpoints.
您将获得的技能
- Penetration Testing
- Vulnerability Assessments
- Data Management
- Data Ethics
- Security Controls
- Data Security
- Secure Coding
- Cybersecurity
- Responsible AI
- AI Security
- Information Systems Security
- Security Testing
- Threat Management
- Security Engineering
- Encryption
- Security Awareness
- Security Strategy
- Threat Modeling
- 技能部分已折叠。显示 11 项技能,共 18 项。
要了解的详细信息

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5 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有2个模块
Module 1: Introduction to AI Security delves into the critical aspects of securing artificial intelligence systems. This module covers foundational concepts and the importance of AI security, common security threats to AI systems, and ethical AI considerations, including data privacy. It also explores the principles of designing secure AI systems, secure data management practices, and the basics of encryption and access control in AI environments, providing a comprehensive introduction to the complexities and necessities of AI security.
涵盖的内容
10个视频4篇阅读材料2个作业1个讨论话题
"Module 2: Implementing AI Security Practices" advances into the practical application of security measures in AI systems. It begins with secure coding practices, vulnerability assessments, and penetration testing tailored for AI. The module also addresses the implementation of secure AI APIs and endpoints. The second lesson focuses on ongoing security maintenance, compliance with evolving AI security standards and regulations, and anticipates future trends and emerging threats in AI security. This module is essential for anyone aiming to implement and maintain robust security practices in AI environments.
涵盖的内容
8个视频3篇阅读材料3个作业
位教师

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
学生评论
- 5 stars
50%
- 4 stars
6.25%
- 3 stars
12.50%
- 2 stars
12.50%
- 1 star
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已于 Jun 3, 2024审阅
Brilliant!!!! instructor who made it very easy to follow a complex topic


