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
11,904 already enrolled
(210 reviews)
Skills you'll gain
- Business Solutions
- AI Enablement
- Model Evaluation
- Machine Learning Methods
- Machine Learning
- Performance Metric
- Key Performance Indicators (KPIs)
- Applied Machine Learning
- Business Metrics
- Machine Learning Algorithms
- Performance Measurement
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- AI Product Strategy
- Model Deployment
- Artificial Intelligence
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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Status: Free TrialIllinois Tech
Status: Free Trial
Status: Free TrialAmazon Web Services
Status: PreviewFred Hutchinson Cancer Center
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Learner reviews
210 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 Oct 23, 2024
This provides an excellent overview of AI, the different branches, and the wide applications of AI in many different industries.
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.
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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