In this course, you will explore real-world use cases in artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.

您将获得的技能
- Applied Machine Learning
- Performance Metric
- Model Evaluation
- Machine Learning Algorithms
- Key Performance Indicators (KPIs)
- AI Product Strategy
- AI Enablement
- Performance Measurement
- Business Solutions
- Artificial Intelligence
- Machine Learning
- Business Metrics
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
要了解的详细信息
1 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有1个模块
涵盖的内容
1篇阅读材料1个作业
位教师

从 Machine Learning 浏览更多内容

Illinois Tech

Amazon Web Services

Fred Hutchinson Cancer Center
人们为什么选择 Coursera 来帮助自己实现职业发展

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学生评论
- 5 stars
67.06%
- 4 stars
24.20%
- 3 stars
3.57%
- 2 stars
2.77%
- 1 star
2.38%
显示 3/251 个
已于 Jul 29, 2025审阅
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
已于 Dec 3, 2025审阅
great information presented in an easy to understand format
已于 Jan 16, 2026审阅
this was my first course to learn from coursera and it was very informative
常见问题
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.
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