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所在平台: Udemy |
课程主页: https://www.udemy.com/course/capt-hyperscaler-akylade-aisp/
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课程名称：AKYLADE认证AI安全从业人员备考课程 课程概述：AKYLADE AI安全从业人员（A/AISP）认证验证专业人员在管理AI风险方面的专业知识，以确保系统的可信度，并在组织的AI框架中集成安全措施。本课程覆盖考试的以下领域：伦理与人机交互、先进的AI风险管理、AI系统集成与安全、NIST AI风险管理框架（AI RMF）、AI风险管理行动计划、AI事件响应与管理。 课程目标： 1. 在伦理和人机交互领域，学员将能够： - 根据特定情景开发和实施AI系统的伦理指南。 - 分析AI系统与传统软件系统中的伦理考量。 - 评估和减轻AI系统中的偏见。 - 分析人机交互及其影响。 2. 在AI风险管理领域，学员将能够： - 制定和实施组织的AI风险管理策略。 - 评估与AI系统相关的风险并分析评估结果。 - 识别和优先排序AI系统中的威胁和漏洞。 - 分析AI风险对组织资产的影响，确定适当的风险响应或处理措施。 3. 在AI系统安全集成领域，学员将能够： - 比较AI系统与传统软件技术的安全需求。 - 制定和实施AI系统的安全集成计划。 - 评估和减轻AI系统集成过程中可能出现的安全风险。 - 进行AI系统安全的持续监控和改进。 4. 在风险管理框架的实施领域，学员将能够： - 实施治理、映射、测量与管理等功能的类别和子类别以进行AI风险管理。 - 管理组织内的AI风险，包括创建、实施、更新和/或调整NIST人工智能风险管理框架（RMF）配置文件。 5. 在AI风险识别和行动计划领域，学员将能够： - 发现组织内的主要AI风险。 - 创建组织的定制化AI风险管理行动计划。 - 持续改进、维护和更新组织的AI风险管理行动计划。 6. 在事件响应管理领域，学员将能够： - 评估和选择适当的事件响应方法，以最小化组织应对中的差距和挑战。 - 进行战略事件响应规划与管理。 - 对组织内的AI系统执行事件响应行动。 - 评估组织AI事件响应工作的有效性。 此课程旨在为希望在AI安全领域获得专业认证的学员提供全面的培训，帮助他们掌握必要的知识和技能。
The AKYLADE AI Security Practitioner (A/AISP) Certification validates professionals' expertise in managing AI risks to ensure system trustworthiness, and integrating security measures within organizational AI frameworks.This course covers the following domains for the exam:Ethics and Human-AI InteractionAdvanced AI Risk Management AI System Integration and Security NIST AI RMF AI Risk Management Action Plan AI Incident Response and ManagementThe course will provide training on the following objectives:Domain 1Given a scenario, develop and implement ethical guidelines for the adoption and use of AI systems.Given a scenario, analyze ethical considerations in AI systems and traditional software systems.Given a scenario, assess and mitigate bias in AI systems.Given a scenario, analyze human-AI interactions and their impacts.Domain 2Given a scenario, develop and implement an AI risk management strategy for an organization.Given a scenario, assess the risk associated with an AI system and analyze the results of the risk assessment.Given a scenario, perform risk identification and prioritization for threats and vulnerabilities in an AI system.Given a scenario, analyze the impact of AI risks on an organization's assets and determine the appropriate risk response or risk treatment to implement.Domain 3Compare and contrast the security needs of AI systems and traditional software technologies.Given a scenario, develop and implement a security integration plan for an AI system.Given a scenario, evaluate and mitigate security risks that may occur during the integration of an AI system within an organization.Given a scenario, evaluate and implement strategies for conducting continuous monitoring and improvement of an AI system's security.Domain 4Given a scenario, implement the Govern function's categories and subcategories to conduct AI risk management.Given a scenario, implement the Map function's categories and subcategories to conduct AI risk management.Given a scenario, implement the Measure function's categories and subcategories to conduct AI risk management.Given a scenario, implement the Manage function's categories and subcategories to conduct AI risk management.Given a scenario, manage AI risks within an organization by creating, implementing, updating, and/or tailoring NIST Artificial Intelligence (AI) Risk Management Framework (RMF) Profiles.Domain 5Given a scenario, discover the top AI risks within an organization.Given a scenario, create a customized AI Risk Management Action Plan for an organization.Given a scenario, perform continuous improvements, maintenance, and updates to an organization's AI Risk Management Action Plan.Domain 6Given a scenario, evaluate and select an appropriate incident response methodology for an organization to implement to minimize gaps and challenges in its response efforts.Given a scenario, conduct strategic incident response planning and management.Given a scenario, perform incident response actions for an AI system within an organization.Given a scenario, evaluate the effectiveness of an organization's AI incident response efforts.
