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
12,220 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(214 reviews)
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Performance Measurement
- Machine Learning
- Generative AI
- Performance Metric
- Applied Machine Learning
- AI Product Strategy
- Key Performance Indicators (KPIs)
- Machine Learning Methods
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Metrics
- AI Enablement
- Business Solutions
- Machine Learning Algorithms
- Model Evaluation
- Model Deployment
Details to know
Assessments
1 assignment
Taught in English
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
Instructor ratings
4.4 (70 ratings)Offered by
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Learner reviews
4.5
214 reviews
- 5 stars
66.51%
- 4 stars
23.72%
- 3 stars
3.72%
- 2 stars
3.25%
- 1 star
2.79%
Showing 3 of 214
HS
5
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.
TN
4
Reviewed on Apr 27, 2025
A quick look at AI definitions and their capabilities as well as constraints.
K
4
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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Frequently asked questions
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More questions
Financial aid available,