Evaluate AI Risks: Adopt Smart Predictions is a beginner-level course designed for project managers, analysts, and business leaders who need to make smart decisions about using AI tools. In a world full of AI hype, how do you prove if a risk prediction model is a valuable asset or a dangerous liability? This course teaches you to look past simple accuracy and use the metrics that matter.
Evaluate AI Risks: Adopt Smart Predictions
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您将学到什么
Evaluate AI risk predictions using performance metrics like precision and recall to make data-driven model adoption decisions.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Advanced Project Operations & Automation 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
This foundational module introduces the critical concepts needed to evaluate any AI prediction model. You will learn why simple accuracy is often misleading and discover how to frame a model’s performance using a confusion matrix. By the end of this module, you will be able to define precision and recall, the two most important metrics for understanding a model's real-world effectiveness, and classify prediction outcomes correctly.
涵盖的内容
1篇阅读材料2个作业
In this module, you will move from concepts to calculation. You will learn the specific formulas for precision and recall and apply them to a real-world dataset. This hands-on process will transform the raw output of a confusion matrix into two powerful numbers that tell a clear story about the model's performance.
涵盖的内容
1个视频1篇阅读材料2个作业
In this final module, you will learn to synthesize your metrics into a clear, defensible business recommendation. Calculating the numbers is not sufficient; you must interpret what they mean for the project and make the final call: adopt the model, reject it, or send it back for retraining.
涵盖的内容
1个视频1篇阅读材料2个作业
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。