40559: Microsoft Cloud Workshop: MLOps

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Overview Schedule Dates Course Content Faqs

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.

Learning Options

Schedule Dates

40559: Microsoft Cloud Workshop: MLOps

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

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.