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
11,679 already enrolled
(208 reviews)
Skills you'll gain
- Model Deployment
- Model Evaluation
- Performance Metric
- Applied Machine Learning
- Artificial Intelligence
- Performance Measurement
- Business Metrics
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- AI Enablement
- Key Performance Indicators (KPIs)
- Machine Learning Algorithms
- AI Product Strategy
- Machine Learning
- Business Solutions
- Machine Learning Methods
Details to know
1 assignment
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
What's included
1 reading1 assignment
Instructor

Offered by
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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
208 reviews
- 5 stars
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- 4 stars
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- 3 stars
3.84%
- 2 stars
3.36%
- 1 star
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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 Aug 1, 2025
Very informative, especially since it's a free course. Aimed at beginners, but introduces some complex terms and usages. Recommended.
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.
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