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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-robust-ai-products-p/
课程评论：没有评论
课程名称：构建强健的人工智能产品 课程概述：您是否正在构建需要在现实世界中可靠运行的人工智能产品？您是否希望确保您的AI系统安全、弹性，并符合监管要求？本课程为您提供了构建强健AI产品的完整指南，从概念到持续改进。无论您是AI产品经理、数据科学家、技术领导者还是机器学习工程师，本课程将为您提供框架和现实实践，帮助您设计、部署和维护性能稳定、负责任的AI解决方案。 您将学习到： - 如何评估数据质量、覆盖范围、偏见和鲁棒性 - 避免脆弱模型的聪明数据和架构选择 - 管理来自AI供应链、供应商和第三方模型的风险 - 针对多种用例和数据场景测试AI的方法 - 识别和抵御提示注入和对抗攻击的技术 - AI治理的原则以及与GDPR、ISO 27701和NIST的对齐 - 安全部署实践和持续监控策略 - 如何构建可操作的AI产品路线图 每个概念都通过IntelliTech Solutions构建的GenAI Assist模型AI系统进行说明，帮助您将课程内容直接应用于法律、金融和合规重点的AI解决方案中的真实案例。课程包含动手实验、互动测验及最终项目，您将创建自己的弹性AI产品路线图——一个您可以应用于任何AI项目的实用计划。 适合对象： - 寻求现实部署策略的AI产品经理和技术领导者 - 希望提高AI可靠性和公平性的数据科学家和机器学习工程师 - 参与AI红队和威胁缓解的安全专业人员 - 负责AI问责制的商业和合规领导者 无需编码。无论您是领导AI开发还是管理其风险，本课程都将帮助您交付值得信赖、可扩展和安全的AI系统。加入我们，开始构建持久的人工智能！
Are you building AI products that need to operate reliably in the real world? Do you want to ensure your AI systems are secure, resilient, and aligned with regulatory expectations?This course is your complete guide to building robust AI products-from concept to continuous improvement.Whether you're an AI product manager, data scientist, tech leader, or ML engineer, this course will equip you with the frameworks and real-world practices to design, deploy, and maintain AI solutions that perform consistently and responsibly.What You'll Learn:How to evaluate data quality, coverage, bias, and robustnessWays to avoid brittle models through smart data and architecture choicesHow to manage risks from AI supply chains, vendors, and third-party modelsTechniques for testing AI across multiple use cases and data scenariosMethods for identifying and defending against prompt injection and adversarial attacksThe principles of AI governance and aligning with GDPR, ISO 27701, and NISTSecure deployment practices and continuous monitoring strategiesHow to build an actionable AI product roadmapEach concept is illustrated using GenAI Assist, a model AI system built by IntelliTech Solutions. This helps you apply lessons directly to real-world use cases in legal, financial, and compliance-focused AI solutions.You'll complete hands-on labs, interactive quizzes, and a final project where you'll create your own Resilient AI Product Roadmap-a practical plan you can apply to any AI project.Who This Course Is For:AI product managers and tech leads seeking real-world deployment strategiesData scientists and ML engineers looking to improve AI reliability and fairnessSecurity professionals involved in AI red teaming and threat mitigationBusiness and compliance leaders responsible for AI accountabilityNo coding required. Whether you're leading AI development or managing its risks, this course helps you deliver AI systems that are trustworthy, scalable, and secure.Join us and start building AI that lasts.
