Machine Learning Operations Engineer Associate (AI 300)

Program Overview

This course prepares engineers to design, implement, and manage machine learning operations on Microsoft Azure across the full model lifecycle. Participants learn how to provision and configure Azure Machine Learning resources, prepare data and training pipelines, and automate the path from experimentation to production. The programme covers building reproducible pipelines, deploying models to managed endpoints, and applying CI/CD and infrastructure as code to machine learning workloads. It extends into monitoring model performance and data drift, retraining and versioning, and embedding security, governance, and responsible AI so that models run reliably, cost effectively, and compliantly at scale. It suits machine learning engineers, data scientists, and DevOps professionals responsible for productionising models, and is delivered through instructor-led presentation, guided demonstrations, and hands-on labs in a live Azure environment.