Azure MLOps from Microsoft || Digitalearn Solution

Course Details

Microsoft
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Azure MLOps from Microsoft

By Digitalearn Team
21/Jan/2026
0 Students

Course Description

The Azure MLOps from Microsoft course is designed to help learners understand how to operationalize machine learning models using Microsoft Azure. This course focuses on combining machine learning, DevOps practices, and automation to build scalable, secure, and production-ready ML solutions.

Learners will begin with an introduction to MLOps concepts, understanding how MLOps bridges the gap between data science and operations. The course explains the architecture and components of Azure Machine Learning, including workspaces, compute resources, datasets, experiments, and pipelines.

Participants will learn how to build end-to-end ML pipelines, covering data preparation, model training, validation, and deployment. The course emphasizes CI/CD for machine learning, showing how to integrate Azure Machine Learning with Azure DevOps and GitHub Actions for automated training and deployment workflows.

The training also covers model versioning, experiment tracking, and artifact management, enabling learners to manage the complete ML lifecycle efficiently. Learners will understand how to deploy models using different deployment strategies, including real-time and batch inference, and how to monitor model performance in production.

Security, governance, and compliance are key focus areas, including access control, secrets management, and responsible AI practices. By the end of the course, learners will gain practical knowledge to design, implement, and manage enterprise-grade MLOps solutions on Azure.

This course is ideal for data scientists, ML engineers, DevOps engineers, and cloud professionals who want to operationalize machine learning using Microsoft Azure.