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
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Exploring Artificial Intelligence Use Cases and Applications
Instructor: AWS Instructor
15,513 already enrolled
Gain insight into a topic and learn the fundamentals.
261 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Machine Learning Methods
- Model Evaluation
- AI Product Strategy
- AI Enablement
- Performance Metric
- Artificial Intelligence
- Business Solutions
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Metrics
- Key Performance Indicators (KPIs)
- Machine Learning
- Performance Measurement
- Applied Machine Learning
- Machine Learning Algorithms
Tools you'll learn
Details to know
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Instructor
Instructor ratings
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Showing 3 of 261
K
Reviewed on Jul 30, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
PG
Reviewed on Aug 2, 2025
Very informative, especially since it's a free course. Aimed at beginners, but introduces some complex terms and usages. Recommended.
AK
Reviewed on Jan 17, 2026
this was my first course to learn from coursera and it was very informative
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