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 IT Education Association
13,702 already enrolled
Gain insight into a topic and learn the fundamentals.
241 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI
- Machine Learning Methods
- Artificial Intelligence
- Model Deployment
- Business Solutions
- Machine Learning
- AI Product Strategy
- Machine Learning Algorithms
- Performance Metric
- Key Performance Indicators (KPIs)
- Business Metrics
- Performance Measurement
- Applied Machine Learning
- AI Enablement
- Model Evaluation
- 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 241
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.
K
Reviewed on Jul 29, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.