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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sec-genai/
课程评论：没有评论
课程名称：保护生成性人工智能系统：OWASP大型语言模型十大漏洞 课程概述： 随着人工智能（AI）和机器学习（ML）快速发展的趋势，确保这些系统的安全性显得尤为重要。本课程深入探讨了AI与网络安全的交集，重点关注OWASP大型语言模型（LLM）十大漏洞，旨在推动相关讨论。如果您的公司需要加强AI和开发团队的安全意识，那么您将会发现本课程的价值！ 课程内容： 1. **AI与ML基础概念**：课程开始时将探讨AI和ML的基本概念，为参与者提供这些技术的运作方式及其在各个领域的意义的扎实理解。 2. **安全性分析**：重点介绍OWASP针对AI和ML系统特定的十大漏洞，解析影响这些系统的最常见安全风险和配置错误。 3. **威胁场景理解**：深入探讨现实中的场景，了解AI和ML系统如何受到利用，以及安全 breaches 对组织和社会的潜在影响。 4. **缓解技术学习**：获取缓解OWASP LLM十大漏洞的知识，包括最佳实践、安全工具和健全的开发方法。 适合人群： 本课程适合AI/ML从业者、网络安全专业人士、软件开发者、系统架构师，以及任何参与AI和ML系统开发、部署或管理的人士。课程适合希望增强AI/ML安全理解并在组织中降低风险的个人。 先决条件： 建议对AI/ML和网络安全的基本概念有一定了解，但并非强制要求。参与者应对理解和改善AI与ML系统的安全态势具备浓厚兴趣。 课程形式： 本课程结构为自定进度的在线学习体验，允许参与者根据自身方便进度学习材料。 现在就注册，开启了解如何保护生成性人工智能系统免受常见漏洞影响的旅程，为AI应用的未来保驾护航！
In the rapidly evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML), ensuring the security of these systems is paramount. This course delves into the intersection of AI and cybersecurity, focusing on the OWASP LLM (Large Language Model) Top Ten vulnerabilities as a way to drive the conversation.If your company needs security awareness for your AI and development teams...then you'll see the value in this course!The course begins with an exploration of the fundamental concepts of AI and ML, providing participants with a solid understanding of how these technologies work and their significance in various domains. From there, the focus shifts to the security aspect, introducing the OWASP Top Ten vulnerabilities specific to AI and ML systems.Throughout the course, participants will:Explore OWASP LLM Top Ten: Gain insights into the most prevalent security risks and misconfigurations affecting AI and ML systems, as identified by OWASP.Understand Threat Scenarios: Delve into real-world scenarios where AI and ML systems are vulnerable to exploitation, understanding the potential impact of security breaches on organizations and society.Learn Mitigation Techniques: Acquire knowledge on mitigating OWASP LLM Top Ten vulnerabilities through a combination of best practices, security tools, and robust development methodologies.Who Should Attend:This course is designed for AI/ML practitioners, cybersecurity professionals, software developers, system architects, and anyone involved in the development, deployment, or management of AI and ML systems. It is suitable for individuals seeking to enhance their understanding of AI/ML security and mitigate risks within their organizations.Prerequisites:Familiarity with basic concepts of AI/ML and cybersecurity is recommended but not required. Participants should have a keen interest in understanding and improving the security posture of AI and ML systems.The course is structured as a self-paced online learning experience, allowing participants to progress through the material at their own convenience.Enroll today to embark on a journey towards understanding key aspects of securing GenAI against common vulnerabilities, safeguarding the future of AI applications.
