Audience
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the “Summary” and “Skills gained” areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Prerequisites
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the “Summary” and “Skills gained” areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Skills Gained
After completing this course, students will be able to:
• Design and implement end-to-end solutions that fully operationalize deep learning models.
Course outline
Module 1: Whiteboard Design Session – MLOps
Lessons
• Review the customer case study
• Design a proof-of-concept solution
• Present the solution
Module 2: Hands-on lab – MLOps
Lessons
• Creating and evaluating compliance classification models
• Registering the model
• Setup New Project in Azure DevOps
• Setup and Run the Build Pipeline
• Setup the Release Pipeline
• Test Build and Release Pipelines
• Testing the deployed solution
• Examining deployed model performance
Schedule
Click on the following link to see the current Course Schedule
Our minimum class-size is 3 for this course.
If there are no scheduled dates for this course, it can be customized to suit the time and skill needs of clients and it can be held online, at a rented location or at your premises.
Click on the following link below to arrange for a custom course: Enquire about a course date
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