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
15,675 already enrolled
263 reviews
Skills you'll gain
- Business Metrics
- Business Solutions
- Performance Measurement
- Performance Metric
- Artificial Intelligence
- AI Product Strategy
- Machine Learning Algorithms
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Key Performance Indicators (KPIs)
- AI Enablement
- Machine Learning
- Model Evaluation
Tools you'll learn
Details to know
1 assignment
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There is 1 module in this course
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Reviewed on Apr 27, 2025
A quick look at AI definitions and their capabilities as well as constraints.
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
Reviewed on Dec 3, 2025
great information presented in an easy to understand format

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