Machine Learning Operations

by Centre For Continuing Education And Professional Studies Claim Listing

To acquire the ability to apply developed models to real-world scenarios in a production environment, you will deploy models as microservices and integrate them into end-user applications.

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Course Details

In this course, you will gain insight into the operationalization of machine learning (ML) solutions and engage in practical, hands-on learning to discover the best practices for constructing ethical AI solutions. Through this exploration, you will learn to recognize and understand the framework for managing models, documentation, explainability, and reproducibility.

To acquire the ability to apply developed models to real-world scenarios in a production environment, you will deploy models as microservices and integrate them into end-user applications. Finally, with a focus on how end-users consume data, you will learn to present scored data through an interactive dashboard.

For those interested in coding, there is an optional component on using Python to build, assess, and deploy ML models.

 

Learner Outcomes

Upon completing this course, you will know how to:

  • publish ML models

  • deploy ML models as microservices

  • integrate deployed microservices and API models into an end-user application

  • build an interactive dashboard on scored data.

  • Calgary Branch

    1301 16 Ave NW, Calgary

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