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
Exploring Artificial Intelligence Use Cases and Applications
Instructor: AWS Instructor
13,837 already enrolled
Gain insight into a topic and learn the fundamentals.
241 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Artificial Intelligence
- AI Product Strategy
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Model Evaluation
- Business Metrics
- AI Enablement
- Performance Measurement
- Business Solutions
- Applied Machine Learning
- Machine Learning Algorithms
- Model Deployment
- Key Performance Indicators (KPIs)
- Performance Metric
- Machine Learning
- Generative AI
- Skills section collapsed. Showing 7 of 16 skills.
Details to know
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
What's included
1 reading1 assignment
Instructor
Instructor ratings
(78 ratings)Offered by
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Showing 3 of 241
K
Reviewed on Jul 29, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
TN
Reviewed on Apr 27, 2025
A quick look at AI definitions and their capabilities as well as constraints.
AK
Reviewed on Jan 16, 2026
this was my first course to learn from coursera and it was very informative
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Frequently asked questions
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More questions
Financial aid available,