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
Access provided by Kennesaw State University
10,763 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(196 reviews)
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Machine Learning
- Performance Metric
- AI Product Strategy
- Performance Measurement
- Machine Learning Algorithms
- Machine Learning Methods
- Business Metrics
- Applied Machine Learning
- Artificial Intelligence
- Key Performance Indicators (KPIs)
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Solutions
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 (63 ratings)Offered by
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4.5
196 reviews
- 5 stars
66.83%
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- 3 stars
4.08%
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3.57%
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Showing 3 of 196
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.
AR
5
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
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.
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