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.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
7 courses found
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- Delivery Format: Virtual Learning
- Date 07-09 December, 2026 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-18 February, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 03-05 March, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 28-30 June, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-18 August, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 22-24 September, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 01-03 December, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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