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
16,091 already enrolled
Gain insight into a topic and learn the fundamentals.
265 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)
- Performance Metric
- Generative Model Architectures
- Performance Measurement
- Machine Learning Algorithms
- Business Solutions
- Key Performance Indicators (KPIs)
- Business Metrics
- Applied Machine Learning
- LLM Application
- AI literacy
- Machine Learning
- Artificial Intelligence
- Model Evaluation
- Machine Learning Methods
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
Instructor ratings
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Showing 3 of 265
CC
Reviewed on Dec 3, 2025
great information presented in an easy to understand format
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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