The Machine Learning Pipeline on AWS
This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Level
28 courses found
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- Delivery Format: Public Classroom
- Date 17-20 June, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 17-20 June, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date 23-26 June, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 30 June-03 July, 2024
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date 08-11 July, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 08-11 July, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date 21-24 July, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 28-31 July, 2024
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date 05-08 August, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 05-08 August, 2024
- Location: Virtual
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