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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-genai-security-mastering-cyber-risks-2025/
课程评论：没有评论
课程名称：高级生成性人工智能安全：掌握网络风险 [GenAI - 01] 课程概述：本高级课程为网络安全专业人士和人工智能从业者提供了应对生成性人工智能系统所带来的独特安全挑战的专业知识。随着各行业迅速采用生成性人工智能技术，安全专业人员面临着传统安全方法无法完全应对的前所未有的挑战。本课程填补了这一空白，通过全面的实践培训来保障生成性人工智能模型、基础设施和部署的安全。 在课程中，学员将学习识别和缓解与生成性人工智能系统特有的主要漏洞，包括模型中毒、提示注入和对抗性攻击。通过实践编码练习和作业，学员将实施强有力的安全措施，包括对抗性训练、安全多方计算和隐私保护技术，以保护模型和数据。课程涵盖了生成性人工智能安全生命周期的各个方面，从安全模型的训练和部署，到持续监测、威胁检测和事件响应。学员将掌握为生成性人工智能系统进行专项安全审核的专业技能，并确保遵守新兴的法规要求。 除了技术安全之外，课程还强调了负责部署生成性人工智能所必需的伦理考虑和隐私保护。在实施生成性人工智能安全框架时，学员将学习如何平衡安全需求与公平性、偏见缓解和组织伦理。 完成课程后，学员将具备保护生成性人工智能资产、设计安全架构、检测复杂攻击和制定伦理生成性人工智能安全政策所需的高级技能。无论您是扩展到人工智能领域的安全专业人士，还是关注安全的人工智能从业者，本课程都提供了保障当今最强大人工智能技术免受不断演变威胁所需的专业知识。
This advanced course equips cybersecurity professionals and AI practitioners with specialized knowledge to address the unique security challenges posed by Generative AI systems. As organizations rapidly adopt GenAI technologies across industries, security professionals face unprecedented challenges that traditional security approaches cannot fully address. This course bridges that gap by providing comprehensive, hands-on training in securing GenAI models, infrastructure, and deployments.You'll learn to identify and mitigate key vulnerabilities specific to GenAI systems, from model poisoning and prompt injection to adversarial attacks. Through practical coding exercises and assignments, you'll implement robust security measures including adversarial training, secure multi-party computation, and privacy-preserving techniques that protect both models and data.The curriculum covers the entire GenAI security lifecycle-from secure model training and deployment to continuous monitoring, threat detection, and incident response. You'll develop expertise in conducting specialized security audits for GenAI systems and ensuring compliance with emerging regulations.Beyond technical security, the course emphasizes ethical considerations and privacy protections essential for responsible GenAI deployment. You'll learn to balance security requirements with fairness, bias mitigation, and organizational ethics when implementing GenAI security frameworks.By course completion, you'll possess the advanced skills needed to protect GenAI assets, design secure architectures, detect sophisticated attacks, and develop organizational policies for ethical GenAI security. Whether you're a security professional expanding into AI or an AI practitioner focusing on security, this course provides the specialized knowledge required to safeguard today's most powerful AI technologies against evolving threats.
