Semos Education Semos Education
  • Ponedeljak-Petak 9:00AM - 5:00PM
  • Javi nam se: +381 63 4567 50
  • Piši nam: info@semosedu.com
EN / МК / RS
Кошничка
REZERVIŠI MESTO
  • Opis
  • Sadržaj
  • Kome je namenjeno
  • Sertifikati

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.

LEARNING PATH
Train and deploy a machine learning model with Azure Machine Learning

 

 

  • Module 1: Make data available in Azure Machine Learning
  • Module 2: Work with compute targets in Azure Machine Learning
  • Module 3: Work with environments in Azure Machine Learning
  • Module 4: Run a training script as a command job in Azure Machine Learning
  • Module 5: Track model training with MLflow in jobs
  • Module 6: Register an MLflow model in Azure Machine Learning
  • Module 7: Deploy a model to a managed online endpoint

Prerequisites:

none

Applied Skills Assessment – Train and deploy a machine learning model with Azure Machine Learning

Опис

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.

Содржина

LEARNING PATH
Train and deploy a machine learning model with Azure Machine Learning

 

 

  • Module 1: Make data available in Azure Machine Learning
  • Module 2: Work with compute targets in Azure Machine Learning
  • Module 3: Work with environments in Azure Machine Learning
  • Module 4: Run a training script as a command job in Azure Machine Learning
  • Module 5: Track model training with MLflow in jobs
  • Module 6: Register an MLflow model in Azure Machine Learning
  • Module 7: Deploy a model to a managed online endpoint
За кого е наменет

Prerequisites:

none

Сертификати

Applied Skills Assessment – Train and deploy a machine learning model with Azure Machine Learning

Dosadašnja iskustva

Šta su rekli naši polaznici o nama

  • - Marko Krstevski Student za Microsoft .NET

    Želeći da proširim svoje znanje, odlučio sam da se upišem u Semos Education gde dobijam potrebno znanje i iskustvo.

  • - Teodor Markovski Student

    Želja da postanem Cloud arhitekta dovela me do Semos Education-a. Oduševljen sam pozitivnim iskustvima bivših studenata i načinom na koji predavači i Karijerni centar brinu o studentima.

  • - Viktorija Georgieva Mentorka letnjeg programa za Python Developer-a

    Reputacija Semos Education-a za kvalitetnu obuku i mogućnost učenja od iskusnih instruktora odigrala je značajnu ulogu u mojoj odluci.

  • - Demjan Anatoli Student za JavaScript

    IT edukativni centar koji je postojan na tržištu i nudi stabilan rezultat, što ide u tandemu sa nižom cenom od većeg dela konkurencije, činjenice su koje su mi pomogle da odaberem upravo Semos JavaScript Akademiju kao pravi izbor za moje usavršavanje u ovom polju.

Kontakt