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
15,172 already enrolled
Gain insight into a topic and learn the fundamentals.
255 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Performance Measurement
- Business Metrics
- Model Evaluation
- Key Performance Indicators (KPIs)
- Machine Learning
- Applied Machine Learning
- Business Solutions
- Artificial Intelligence and Machine Learning (AI/ML)
- AI Enablement
- Machine Learning Methods
- Artificial Intelligence
- AI Product Strategy
- Performance Metric
- Machine Learning Algorithms
Tools you'll learn
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
Instructor
Instructor ratings
(83 ratings)Offered by
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Showing 3 of 255
PG
Reviewed on Aug 1, 2025
Very informative, especially since it's a free course. Aimed at beginners, but introduces some complex terms and usages. Recommended.
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.
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