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所在平台: Udemy |
课程主页: https://www.udemy.com/course/governance-for-generative-ai/
课程评论：没有评论
课程名称：生成式人工智能治理 课程概述：生成式人工智能治理是一门精心设计的Udemy课程，专为希望掌握生成式人工智能治理的IT专业人士而设。该课程系统地涵盖了从基础知识到高级概念，并配有应用案例研究。您将深入理解有效治理所需的原则和实践。课程结合理论知识与实际见解，确保全面学习。完成课程后，您将具备实施与企业战略目标对齐的治理框架的技能。通过学习生成式人工智能治理，您将获得在企业中有效治理生成式人工智能的专业能力。 课程主要内容及收益： 1. 生成式人工智能基础：了解生成式人工智能的基本概念、能力、应用及其在企业环境中带来的挑战。 2. 企业治理：探索企业治理的原则，以及其如何应用于AI伦理、合规性与风险管理。 3. 生成式人工智能的网络安全：学习与生成式人工智能相关的安全风险，包括数据隐私、对抗性攻击及缓解策略。 4. 生成式人工智能的风险：研究生成式人工智能所带来的主要风险，如错误信息、偏见、法规问题与运营脆弱性。 5. 案例研究 - 针对生成式人工智能建立治理程序：分析组织如何开发和实施治理框架，以有效管理AI风险的实际案例。 6. 案例研究 - 使用Azure政策进行AI治理：探索如何利用Azure政策来强化AI治理，确保云端AI系统的合规性与安全性。 总之，这门课程为有意在企业中有效管理生成式人工智能提供了全面的指导与实用技能。
Governance for Generative AI is a meticulously structured Udemy course aimed at IT professionals seeking to master Governance for Generative AI to leverage the power of generative AI. This course systematically walks you through the initial basics to advanced concepts with applied case studies. You will gain a deep understanding of the principles and practices necessary for effective governance. The course combines theoretical knowledge with practical insights to ensure comprehensive learning. By the end of the course, you'll be equipped with the skills to implement governance frameworks that align with your enterprise's strategic goals.By learning Governance for Generative AI, you're gaining proficiency on how to effectively govern GenAI in your enterprise.Key Benefits for you:Basics - Generative AI: Gain a foundational understanding of generative AI, its capabilities, applications, and the challenges it presents in corporate environments.Corporate Governance: Explore the principles of corporate governance and how they apply to AI ethics, compliance, and risk management in organizations.Cybersecurity for Generative AI: Learn about the security risks associated with generative AI, including data privacy, adversarial attacks, and mitigation strategies.Risks for Generative AI: Examine the key risks generative AI poses, such as misinformation, bias, regulatory concerns, and operational vulnerabilities.Case Study - Building a Governance Program for GenAI: Analyze a real-world example of how organizations develop and implement governance frameworks to manage AI risks effectively.Case Study - AI Governance with Azure Policy: Explore how Azure Policy can be leveraged to enforce AI governance, ensuring compliance and security in cloud-based AI systems.
