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.
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Exploring Artificial Intelligence Use Cases and Applications

Instructor: AWS Instructor
12,828 already enrolled
(223 reviews)
Skills you'll gain
- Generative AI
- Machine Learning Algorithms
- AI Enablement
- Key Performance Indicators (KPIs)
- Machine Learning Methods
- Machine Learning
- Model Deployment
- Business Solutions
- Performance Metric
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Artificial Intelligence
- Performance Measurement
- AI Product Strategy
- Model Evaluation
- Business Metrics
Details to know
1 assignment
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There is 1 module in this course
What's included
1 reading1 assignment
Instructor

Offered by
Explore more from Machine Learning
Status: Free TrialIllinois Tech
Status: Free Trial
Status: Free TrialAmazon Web Services
Status: PreviewFred Hutchinson Cancer Center
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Learner reviews
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- 4 stars
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- 3 stars
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- 2 stars
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- 1 star
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Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
Reviewed on Jul 29, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
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.
Frequently asked questions
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