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
13,984 already enrolled
243 reviews
Skills you'll gain
- AI Product Strategy
- Performance Metric
- Performance Measurement
- AI Enablement
- Model Deployment
- Business Solutions
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Model Evaluation
- Business Metrics
- Machine Learning Algorithms
- Generative AI
- Artificial Intelligence
- Applied Machine Learning
- Machine Learning
- Key Performance Indicators (KPIs)
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Details to know
1 assignment
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There is 1 module in this course
What's included
1 reading1 assignment
Instructor

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Reviewed on Dec 3, 2025
great information presented in an easy to understand format
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.

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Financial aid available,