Microsoft 365 - Applied Skills: Train and deploy a machine learning model with Azure Machine Learning | DP-3007

Varighed

Varighed:

Kun 1 dag

Metode

Metode:

Klasseværelse / Online / Hybrid

Næste dato

Næste dato:

24/6/2024 (Mandag)

Overview

On this Microsoft Applied Skills - Train and deploy a machine learning model with Azure Machine Learning course, also known as DP-3007, you’ll demonstrate your ability to train and deploy machine learning models with Azure Machine Learning.

In just 1 day, you'll explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model. 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.

You will:

  • 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

At the end of this course, you’ll have the option to complete the Microsoft Applied Skills assessment lab, and earn your Microsoft Applied Skills - Train and deploy a machine learning model with Azure Machine Learning credential.

Audience

This course is ideal for:

  • AI Engineers

Curriculum

The DP-3007 course will teach you to:

  • 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

Exam Track

At the end of this course, you’ll have the option to complete the Microsoft Applied Skills assessment lab, and earn your Microsoft Applied Skills - Deploy and configure Azure Monitor credential.

What's Included

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

  • Transport til/fra specifikke afhentningssteder
  • Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
  • Omfattende kursusmaterialer og labmanualer
  • Et helt igennem instruktørstyret program
  • 24 timers adgang til både undervisningslokale og instruktøren
  • Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Certificeringsgaranti

Prerequisites

Before attending this accelerated course, you should:

  • Be familiar with Azure services.
  • Have experience with Azure Machine Learning and MLflow.
  • Have experience performing tasks related to machine learning by using Python.

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Kursusdatoer

Starter

Slutter

Tilgængelighed

Sted

Tilmelding

19/2/2024 (Mandag)

19/2/2024 (Mandag)

Afsluttet - Giv feedback

-

 

24/6/2024 (Mandag)

24/6/2024 (Mandag)

Venteliste

Landsdækkende

 

5/8/2024 (Mandag)

5/8/2024 (Mandag)

Begrænsede pladser

Landsdækkende

 

16/9/2024 (Mandag)

16/9/2024 (Mandag)

Tilgængelige pladser

Landsdækkende

 

28/10/2024 (Mandag)

28/10/2024 (Mandag)

Tilgængelige pladser

Landsdækkende

 

9/12/2024 (Mandag)

9/12/2024 (Mandag)

Tilgængelige pladser

Landsdækkende

 

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