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 Metric
- AI Product Strategy
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Solutions
- Applied Machine Learning
- Business Metrics
- Model Evaluation
- Machine Learning Methods
- Machine Learning Algorithms
- Key Performance Indicators (KPIs)
- Performance Measurement
- Artificial Intelligence
- AI Enablement
- 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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Felipe M.
自 2018开始学习的学生
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Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

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学生评论
- 5 stars
67.69%
- 4 stars
23.46%
- 3 stars
3.84%
- 2 stars
2.69%
- 1 star
2.30%
显示 3/260 个
PG
已于 Aug 1, 2025审阅
Very informative, especially since it's a free course. Aimed at beginners, but introduces some complex terms and usages. Recommended.
TN
已于 Apr 27, 2025审阅
A quick look at AI definitions and their capabilities as well as constraints.
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.
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