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.
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.
"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.
This course is tailored for anyone interested in understanding, implementing, and managing security in AI environments, from technical practitioners to those overseeing and governing AI implementations.
Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
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1个插件
显示有关单元内容的信息
10个视频•总计42分钟
Introduction to the Course•1分钟
Meet Your Instructor•1分钟
What you will learn in this lesson•1分钟
Overview of AI Security – Concepts and Importance•5分钟
Identifying Common Security Threats in AI Systems•7分钟
Introduction to Ethical AI and Data Privacy Concerns•8分钟
What you will learn in this lesson•1分钟
Designing AI with Security in Mind•4分钟
Secure Data Management in AI Systems•7分钟
Basics of Encryption and Access Control in AI Environments•6分钟
4篇阅读材料•总计35分钟
Syllabus•5分钟
Read More About AI Security Fundamentals•10分钟
Read More About Building Secure AI Systems•10分钟
Tell us what you think!•10分钟
2个作业•总计30分钟
Practice Quiz - AI Security Fundamentals•15分钟
Practice Quiz - Building Secure AI Systems•15分钟
1个讨论话题•总计5分钟
Meet & Greet•5分钟
1个插件•总计5分钟
Quick Course Check-In•5分钟
Implementing AI Security Practices
第 2 单元•小时 后完成
单元详情
"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
显示有关单元内容的信息
8个视频•总计37分钟
What you will learn in this lesson•1分钟
Secure Coding Practices for AI Development•8分钟
Vulnerability Assessment and Penetration Testing for AI Systems•8分钟
Implementing Secure AI APIs and Endpoints•6分钟
What you will learn in this lesson•1分钟
Monitoring and Maintaining AI System Security•6分钟
Compliance with AI Security Standards and Regulations•4分钟
Future Trends in AI Security and Emerging Threats•3分钟
3篇阅读材料•总计30分钟
Read More About Addressing Security in AI Development•10分钟
Read More About Optimizing and Automating Data Transformation•10分钟
Provide your feedback!•10分钟
3个作业•总计90分钟
Graded Quiz - Ongoing Security and Compliance•60分钟
Practice Quiz - Addressing Security in AI Development•15分钟
Practice Quiz - Ongoing Security and Compliance•15分钟
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已于 Jun 3, 2024审阅
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