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
15,256 already enrolled
Gain insight into a topic and learn the fundamentals.
258 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Model Evaluation
- Performance Measurement
- AI Product Strategy
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
- Business Metrics
- AI Enablement
- Business Solutions
- Key Performance Indicators (KPIs)
- Machine Learning Algorithms
- Applied Machine Learning
- Artificial Intelligence
- Performance Metric
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 258
CC
Reviewed on Dec 3, 2025
great information presented in an easy to understand format
HS
Reviewed on Oct 27, 2025
It gives a very good understanding of different types of AI models, how they can be trained and clearly teaches AI and ML to a beginner.
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.
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