MLOps Engineering on AWS
This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy machine learning (ML) models. The course is based on the four-level MLOPs maturity framework. The course focuses on the first three levels, including the initial, repeatable, and reliable levels. The course stresses the importance of data, model, and code to successful ML deployments. It demonstrates the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course also discusses the use of tools and processes to monitor and take action when the model prediction in production drifts from agreed-upon key performance indicators.
40 courses found
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- Delivery Format: Public Classroom
- Date 24-26 February, 2026 | 9:00 AM to 5:00 PM
- Location: Cairo-Sheraton (Egypt Stan)
- Language: English
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- Delivery Format: Virtual Learning
- Date 24-26 February, 2026 | 10:00 AM to 6:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Virtual Learning
- Date 25-27 March, 2026 | 8:00 AM to 4:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Public Classroom
- Date 25-27 March, 2026 | 9:00 AM to 5:00 PM
- Location: Dubai-Knowledge Village (Arabian St)
- Language: English
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- Delivery Format: Virtual Learning
- Date 28-30 April, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Virtual Learning
- Date 24-26 May, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Virtual Learning
- Date 23-25 June, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Public Classroom
- Date 23-25 June, 2026 | 9:00 AM to 5:00 PM
- Location: Cairo-Sheraton (Egypt Stan)
- Language: English
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- Delivery Format: Virtual Learning
- Date 22-24 July, 2026 | 8:00 AM to 4:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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