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
15,061 already enrolled
Gain insight into a topic and learn the fundamentals.
253 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- AI Enablement
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
- Artificial Intelligence
- AI Product Strategy
- Performance Metric
- Machine Learning Methods
- Key Performance Indicators (KPIs)
- Model Evaluation
- Performance Measurement
- Business Solutions
- Business Metrics
- Machine Learning Algorithms
Tools you'll learn
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
Instructor
Instructor ratings
(83 ratings)Offered by
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Showing 3 of 253
K
Reviewed on Jul 29, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
AR
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
TN
Reviewed on Apr 27, 2025
A quick look at AI definitions and their capabilities as well as constraints.
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