The Machine Learning Pipeline on AWS (EN)
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.
9 courses found
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- Delivery Format: Virtual Learning
- Date 17-20 November, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 24-27 November, 2024
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date 25-28 November, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 25-28 November, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 09-12 December, 2024
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date 09-12 December, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date 15-18 December, 2024
- Location: Virtual
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- Delivery Format: Public Classroom
- Date 22-25 December, 2024
- Location: Riyadh
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- Delivery Format: Virtual Learning
- Dates 22-26 December, 2024 | 29 December, 2024-02 January, 2025 | 05-09 January, 2025 | 12-16 January, 2025 | 19-23 January, 2025 | 26-30 January, 2025
- Location: Virtual
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