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40559: Microsoft Cloud Workshop: MLOps

4.73(2,864 Ratings)
Duration
1 Day
Upcoming Batch
12 November 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic

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.

Course Content

2 modules · 11 topics
01Module 1: Whiteboard Design Session – MLOps3 topics
  • Whiteboard Design Session – MLOps
  • Design a proof of concept solution
  • Present the solution
02Module 2: Hands-on lab – MLOps8 topics
  • 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 Dates

4 upcoming batches
Session Type
Physical sessions run at our training facility.
40559: Microsoft Cloud Workshop: MLOps
Batch DatesDurationBatch OptionsLanguageAction
12 November 2026Next1 Day8 hours & 4 hoursEnglish / Arabic
12 February 20271 Day8 hours & 4 hoursEnglish / Arabic
12 May 20271 Day8 hours & 4 hoursEnglish / Arabic
12 August 20271 Day8 hours & 4 hoursEnglish / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What are the prerequisites for this course?

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.

How is the course structured?

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.
What will I learn from Module 1?
  • 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.

 

What will I learn from Module 2?
  • 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.

 

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

 

What industries benefit from MLOps?
  • 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.

 

How We Deliver

Flexible Training Options to Meet Your Needs

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Online Instructor-Led Training

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Highlights

Live SessionsRecorded AccessGlobal

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Upcoming Batch
12 November 2026