Course Overview
Schedule Dates
40559: Microsoft Cloud Workshop: MLOps
12 November 2024
40559: Microsoft Cloud Workshop: MLOps
12 February 2025
40559: Microsoft Cloud Workshop: MLOps
12 May 2025
40559: Microsoft Cloud Workshop: MLOps
12 August 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.