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 SGCSRC
13,891 already enrolled
Gain insight into a topic and learn the fundamentals.
242 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Performance Measurement
- Business Solutions
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Business Metrics
- Applied Machine Learning
- AI Enablement
- Machine Learning Algorithms
- Machine Learning Methods
- AI Product Strategy
- Model Evaluation
- Model Deployment
- Machine Learning
- Performance Metric
- Key Performance Indicators (KPIs)
- Generative AI
- Skills section collapsed. Showing 7 of 16 skills.
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
(78 ratings)
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Showing 3 of 242
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.
AR
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
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.
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