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.
通过 Coursera Plus 解锁访问 10,000 多门课程。开始 7 天免费试用。


您将获得的技能
- Key Performance Indicators (KPIs)
- Artificial Intelligence
- AI Product Strategy
- Applied Machine Learning
- Performance Measurement
- Machine Learning Algorithms
- Machine Learning Methods
- Performance Metric
- Business Metrics
- Generative AI
- Business Solutions
- Machine Learning
- 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

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学生评论
197 条评论
- 5 stars
66.34%
- 4 stars
23.90%
- 3 stars
3.90%
- 2 stars
3.41%
- 1 star
2.43%
显示 3/197 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 18, 2024审阅
The world is changing, and this class topic is both relevant and necessary in today's context.
已于 Apr 27, 2025审阅
A quick look at AI definitions and their capabilities as well as constraints.
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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提供助学金,
