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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-risk-and-cybersecurity-masterclass-2023/
课程评论：没有评论
课程名称：生成性人工智能 - 风险与网络安全大师课程 2025 课程概述：生成性人工智能正迅速成为人工智能中的核心概念，它提供了模拟创造力和内容生成的惊人能力。工具如ChatGPT和MidJourney正在改变行业的运作方式。“生成性人工智能 - 风险与网络安全大师课程”是一门全面的课程，旨在深入理解生成性人工智能技术及其安全风险，并掌握有效管理这些风险的策略。课程涵盖生成性人工智能系统中设计和部署安全模型的原则、组件和最佳实践。 学习内容： - 生成性人工智能的基本原则和组件 - 生成性人工智能中的风险环境及其影响 - 识别、减轻和管理生成性人工智能风险的策略 - 特殊风险，如提示注入、幻觉、数据污染等 - 在生成性人工智能系统内实施强大安全架构的技术和指导 课程大纲： 1. 生成性人工智能简介 - 什么是生成性人工智能？ - 理解生成性人工智能中的风险和安全的重要性 2. 生成性人工智能的风险 - 生成性人工智能风险环境概述 - 对潜在风险及其影响的详细分析 - 这些风险如何对现实生活产生影响 3. 生成性人工智能的安全性 - 为生成性人工智能系统实施安全框架 - 需要克服的主要挑战 - 评估和改进生成性人工智能系统安全态势的技术 适合人群： 本课程适合对理解和管理生成性人工智能相关风险感兴趣的个人，包括： - 人工智能从业者 - 网络安全专业人士 - 数据科学家 - IT经理 - 所有希望了解生成性人工智能及其风险的人士 先决条件： 本课程假设学员对人工智能和网络安全有基本理解，但不需要有生成性人工智能的先前知识。 讲师介绍： 讲师是一位屡获殊荣的信息安全领导者，拥有超过20年的国际网络安全和IT风险管理经验，主要涉及金融科技行业。曾获得年度首席信息安全官、首席信息安全官前30名、首席信息安全官前50名和最杰出安全团队等重大行业奖项。Taimur在网络安全和人工智能领域的课程拥有来自全球数千名学生的参与，同时在《ISACA期刊》、《CIO中东杂志》等领先出版物上发表过文章，并出版了两本关于人工智能安全和云计算的书籍（在亚马逊上排名第一的新书）。
Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The "Generative AI - Risk and Cybersecurity Masterclass" is a comprehensive course designed to provide a deep understanding of generative AI technologies, their security risks, and the strategies needed to manage these risks effectively. This course covers the principles, components, and best practices for designing and deploying a security model within a Generative AI system.What You Will LearnFundamental principles and components of Generative AIUnderstanding the risk landscape in Generative AI and its implicationsStrategies for identifying, mitigating, and managing risks in Generative AIUnique Risks like Prompt Injections, Hallucinations, Data Poisoning etc. Techniques and guidelines for implementing a robust security architecture within Generative AI systemsCourse OutlineIntroduction to Generative AIWhat is Generative AI?Why is understanding risks and security in Generative AI important?Risks in Generative AIOverview of the Generative AI risk landscapeDetailed analysis of potential risks and their implicationsHow these risks can have a real life impact Security in Generative AIImplementing a security framework for Generative AI systems Key challenges to overcomeTechniques to assess and improve the security posture of a Generative AI systemWho Should Take This CourseThis course is designed for individuals interested in understanding and managing the risks associated with Generative AI, including:AI practitionersCybersecurity professionalsData ScientistsIT ManagersAnyone interested in learning about Generative AI and its risksPrerequisitesThis course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI is required.InstructorA multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top 30, CISO top 50 and Most Outstanding Security team.Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )
