IL - Azure Machine Learning Services - MLOps

Course Overview

This course introduces students to Azure Machine Learning Services.

Students will learn about the key components of Azure ML Services including the Azure ML Visual Interface, Automated Machine Learning, model interoperability and explainers, and model management. Students will learn to deploy ML models, monitor ML applications for operational issues, audit ML pipelines, and automate the end to end ML lifecycle with Azure Machine Learning and Azure DevOps.

At the end of the course, students will participate in a hands-on exercise to manage an end to end release flow of a machine learning pipeline including deployment of a machine learning model with Azure Machine Learning, monitoring and auditing, retraining, and redeployment via MLOps.

Course Details
  • Duration: 3 Days
  • Level: 300

Who this course is designed for
  • Data Professionals

  • Learn about the key components of Azure ML Services including the Azure ML Visual Interface
  • Automated Machine Learning
  • Model interoperability and explainers
  • Knowledge of Azure

Course Outline

This course introduces students to Azure Machine Learning Services.

Students will learn about the key components of Azure ML Services including the Azure ML Visual Interface, Automated Machine Learning, model interoperability and explainers, and model management. Students will learn to deploy ML models, monitor ML applications for operational issues, audit ML pipelines, and automate the end to end ML lifecycle with Azure Machine Learning and Azure DevOps.

At the end of the course, students will participate in a hands-on exercise to manage an end to end release flow of a machine learning pipeline including deployment of a machine learning model with Azure Machine Learning, monitoring and auditing, retraining, and redeployment via MLOps.

Training Options


Dedicated Delivery

This course can be delivered dedicated to your team either virtually or onsite. A dedicated delivery allows deeper discussion with your team and our instructor on projects and workloads that are specific to your environment.

Customized Delivery

This course can be customized by adding or removing topics, going deeper on specific topics, or by customizing the delivery schedule to make it easier for your team to attend the training.

Contact a Cloud Training Specialist

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Course Schedule