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
15,281 already enrolled
Gain insight into a topic and learn the fundamentals.
258 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Machine Learning Methods
- AI Product Strategy
- Key Performance Indicators (KPIs)
- Performance Measurement
- Business Metrics
- AI Enablement
- Applied Machine Learning
- Artificial Intelligence
- Business Solutions
- Machine Learning Algorithms
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Performance Metric
- Model Evaluation
Tools you'll learn
Details to know
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Instructor
Instructor ratings
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Showing 3 of 258
PG
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.
HS
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.
AR
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
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