In this course, you will discover how to solve business problems with machine learning, no coding required. You will explore Amazon SageMaker Canvas, a visual point-and-click interface that allows you to generate accurate ML predictions without requiring any machine learning experience or having to write a single line of code. At the end of the course, you will walk away understanding how to make better business decisions using no-code machine learning.
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Practical Decision-Making Using No-code ML on AWS
Amazon Web ServicesAbout this Course
No prior machine learning experience or AWS cloud experience is required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Shape a question and shape data into the right format to answer that question
Build and evaluate a machine learning model without writing code
Generate predictions and make practical business decisions from your model
Skills you will gain
- Business Analytics
- Artificial Intelligence (AI)
- AWS cloud
- No-Code Machine Learning
- Automated Machine Learning (AutoML)
No prior machine learning experience or AWS cloud experience is required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Practical decision making using no-code ML on AWS
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