Machine Learning Operations (ML Ops)

Description

This course is designed to teach you how to deploy, manage, and scale machine learning models in production. As this is a very wide area in the Machine Learning space, this course would look at certain areas which are more in demand such as the following:into:

• MLOps Best Practices & Ways of Working
• Versioning and Branching Strategies
• Packaging a model using Docker
• Model tracking using ML Flow
• Using Azure Pipelines to deploy a model as an endpoint in Azure ML

Note:

These are online classes which would be held between 4pm – 11pm to accommodate professionals who work between 9am – 5pm GMT, without having to take days off to meet up with these classes.
For classes that spill over into the weekend, the time interval would be between 11am – 6pm.
These time schedules can be made flexible depending on the size of the class and other factors, so please reach out to us with any availability requests that you may have.