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
15,205 already enrolled
Gain insight into a topic and learn the fundamentals.
257 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Artificial Intelligence
- AI Product Strategy
- Business Metrics
- Machine Learning Algorithms
- Machine Learning
- Model Evaluation
- Business Solutions
- AI Enablement
- Artificial Intelligence and Machine Learning (AI/ML)
- Performance Metric
- Key Performance Indicators (KPIs)
- Applied Machine Learning
- Machine Learning Methods
- Performance Measurement
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
(85 ratings)Offered by
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Showing 3 of 257
PG
Reviewed on Aug 2, 2025
Very informative, especially since it's a free course. Aimed at beginners, but introduces some complex terms and usages. Recommended.
TN
Reviewed on Apr 28, 2025
A quick look at AI definitions and their capabilities as well as constraints.
HS
Reviewed on Oct 28, 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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