Train and deploy a machine learning model with Azure Machine Learning (DP-3007)

 

Course Overview

To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.

Course Content

  • Make data available in Azure Machine Learning
  • Work with compute targets in Azure Machine Learning
  • Work with environments in Azure Machine Learning
  • Run a training script as a command job in Azure Machine Learning
  • Track model training with MLflow in jobs
  • Register an MLflow model in Azure Machine Learning
  • Deploy a model to a managed online endpoint

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • Online Training: CAD 795
  • Online Training: US$ 795
Classroom Training

Duration
1 day

Price
  • Canada: CAD 795

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.

United States

Online Training 09:00 US/Eastern Enroll
Online Training 09:00 US/Central Enroll
Online Training 09:00 US/Pacific Enroll
Online Training 09:00 US/Eastern Enroll
Online Training 09:00 US/Central Enroll

Canada

Online Training 09:00 Canada/Eastern Enroll
Online Training 09:00 Canada/Central Enroll
Online Training 09:00 Canada/Pacific Enroll
Online Training 09:00 Canada/Eastern Enroll
Online Training 09:00 Canada/Central Enroll