Overview

Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.

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.

Skills Covered

  • Set up a development environment in Azure Machine Learning
  • Prepare data for model training
  • Create and configure a model training script as a command job
  • Manage artifacts by using MLflow
  • Deploy a model for real-time consumption

Who Should Attend

  • AI Engineer
  • Data Engineer
  • Developer
  • Data Scientist

Course Curriculum

Prerequisites

There are no prerequisites required to attend this course.

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Course Modules

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Training Options

Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: VILT
Price:

RM1,200.00Enroll Now

Exam:
Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: ILT
Price:

RM1,200.00Enroll Now

Exam: