Machine Learning Engineering on AWS
Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, deploy, orchestrate, and operationalize ML solutions at scale through a balanced combination of theory, practical labs, and activities.
Participants will gain practical experience using AWS services such as Amazon SageMaker AI and analytics tools such as Amazon EMR to develop robust, scalable, and production-ready machine learning applications.
Course level: Intermediate
18 courses found
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- Delivery Format: Virtual Learning
- Date 11-13 May, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: French
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- Delivery Format: Virtual Learning
- Date 13-15 July, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: Dutch
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- Delivery Format: Public Classroom
- Date 24-26 August, 2026 | 9:00 AM to 5:00 PM
- Location: 1-Mechelen (Battelsesteenweg 455-B) (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 24-26 August, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 24-26 August, 2026 | 10:00 AM to 6:00 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-18 September, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: French
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- Delivery Format: Virtual Learning
- Date 09-11 November, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: Dutch
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- Delivery Format: Public Classroom
- Date 14-16 December, 2026 | 9:00 AM to 5:00 PM
- Location: 1-Mechelen (Battelsesteenweg 455-B) (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 14-16 December, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 14-16 December, 2026 | 10:00 AM to 6:00 PM
- Location: Virtual (W. Europe )
- Language: English
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