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.

Exploring Artificial Intelligence Use Cases and Applications

位教师:AWS Instructor
访问权限由 Coursera Learning Team 提供
15,364 人已注册
您将获得的技能
- Performance Measurement
- Model Evaluation
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Applied Machine Learning
- Business Solutions
- Business Metrics
- Machine Learning Algorithms
- Performance Metric
- AI Enablement
- AI Product Strategy
- Artificial Intelligence
- Key Performance Indicators (KPIs)
- Machine Learning
要了解的详细信息
作业
1 项作业
授课语言:英语(English)
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
位教师
授课教师评分
(86个评价)
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学生评论
- 5 stars
67.69%
- 4 stars
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- 3 stars
3.84%
- 2 stars
2.69%
- 1 star
2.30%
显示 3/260 个
K
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.
CC
已于 Dec 3, 2025审阅
great information presented in an easy to understand format
AK
已于 Jan 16, 2026审阅
this was my first course to learn from coursera and it was very informative
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