IL - Cloud Workshop: MLOps

Course Overview

In this workshop, you will learn how Trey Research can leverage Deep Learning technologies to scan through their vehicle specification documents to find compliance issues with new regulations, and manage the classification through their web application. The entire process from model creation, application packaging, model deployment and application deployment needs to occur as one unified repeatable, pipeline. At the end of this workshop, you will be better able to design and implement end-to-end solutions that fully operationalize deep learning models, inclusive of all application components that depend on the model.

Course Details
  • Duration: 1 Day
  • Level: 300

Who this course is designed for
  • 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 ‘About this Course’ and ‘At Course Completion’ 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.

What You Will Learn

  • Design and implement end-to-end solutions that fully operationalize deep learning models

Prerequisites:

  • Working knowledge of Azure

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 

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Contact the experts at Opsgility to schedule this class at your location or to discuss a more comprehensive readiness solution for your organization. Contact us to enroll or book a class

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