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40559: Microsoft Cloud Workshop: MLOps

  • 4.73(2,864 Rating)

Course Overview

The “Microsoft Cloud Workshop: MLOps” course offers an in-depth exploration of how to integrate and manage Machine Learning Operations (MLOps) within Microsoft Azure. This workshop covers the full lifecycle of machine learning projects, from development and deployment to monitoring and maintenance. Participants will gain hands-on experience with Azure tools and services designed to streamline the MLOps process, including Azure Machine Learning, Azure DevOps, and GitHub Actions. The course emphasizes practical techniques for automating model training, deployment, and scaling, as well as strategies for maintaining model performance and compliance. By the end of the workshop, attendees will be equipped with the knowledge to implement robust MLOps practices in their own organizations, enhancing efficiency and reliability in machine learning workflows.

Multiple Routes of Delivery to
Fit Your Timetable

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our IT trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Schedule Dates

12 February 2025
40559: Microsoft Cloud Workshop: MLOps
12 May 2025
40559: Microsoft Cloud Workshop: MLOps
12 August 2025
40559: Microsoft Cloud Workshop: MLOps
12 November 2025
40559: Microsoft Cloud Workshop: MLOps

Course Content

  • Whiteboard Design Session – MLOps
  • Design a proof of concept solution
  • Present the solution

  • 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

FAQs

Basic knowledge of machine learning concepts and familiarity with Azure services are recommended. Experience with Azure DevOps and CI/CD pipelines will be beneficial but not mandatory.

The course is divided into two main modules:

  • Module 1: Conceptual Design – Includes case study reviews, PoC solution creation, and strategy presentations.
  • Module 2: Hands-On Exercises – Focuses on building machine learning models, setting up CI/CD pipelines, and monitoring model performance.

  • You will learn to review case studies, create a Proof of Concept (PoC) solution, and present your MLOps strategy. This module helps you understand the complexities and best practices of MLOps.

 

  • This module provides hands-on experience in creating machine learning models, setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines using Azure DevOps, and monitoring and evaluating model performance.

 

  • To enroll, visit the CounselTrain website and follow the registration process. For further assistance, you can contact our support team.

 

  • MLOps is beneficial across various industries, including finance, healthcare, retail, and technology. It helps organizations efficiently manage and operationalize machine learning models, leading to better decision-making and business outcomes.

 

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