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

Instructor: AWS Instructor
10,176 already enrolled
(186 reviews)
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
 - Performance Metric
 - AI Product Strategy
 - Generative AI
 - Machine Learning Algorithms
 - Performance Measurement
 - Key Performance Indicators (KPIs)
 - Business Solutions
 - Artificial Intelligence
 - Business Metrics
 - Machine Learning Methods
 - Applied Machine Learning
 - Machine Learning
 
Details to know
1 assignment
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

Offered by
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Status: Free TrialIllinois Tech
Status: FreeAmazon Web Services
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Status: Free TrialL&T EduTech
Why people choose Coursera for their career




Learner reviews
186 reviews
- 5 stars
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 - 4 stars
22.34%
 - 3 stars
3.72%
 - 2 stars
3.72%
 - 1 star
2.65%
 
Showing 3 of 186
Reviewed on Jul 29, 2025
Enjoyed this course. It's all reading, which I enjoy but others may prefer to listen to video clips.
Reviewed on Dec 18, 2024
The world is changing, and this class topic is both relevant and necessary in today's context.
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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Frequently asked questions
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