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
16,223 already enrolled
Gain insight into a topic and learn the fundamentals.
272 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Generative Model Architectures
- Machine Learning Algorithms
- Applied Machine Learning
- AI literacy
- Machine Learning
- Business Solutions
- Business Metrics
- Key Performance Indicators (KPIs)
- Performance Metric
- Model Evaluation
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Performance Measurement
- LLM Application
- Artificial Intelligence
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
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Showing 3 of 272
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.
K
Reviewed on Jul 30, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
TN
Reviewed on Apr 28, 2025
A quick look at AI definitions and their capabilities as well as constraints.
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