Train and deploy a machine learning model with Azure Machine Learning (DP-3007)
- Niveau
- Tijdsduur
- Locatie
- Op locatie
- Startdatum en plaats
Train and deploy a machine learning model with Azure Machine Learning (DP-3007)
Opleiderscore:
Startdata en plaatsen
placeEindhoven 21 mrt. 2025Toon rooster event 21 maart 2025, 09:00-16:00, Eindhoven |
placeUtrecht 21 mrt. 2025Toon rooster event 21 maart 2025, 09:00-16:00, Utrecht |
placeEindhoven 2 jul. 2025Toon rooster event 2 juli 2025, 09:00-16:00, Eindhoven |
placeEindhoven 2 jul. 2025Toon rooster event 2 juli 2025, 09:00-16:00, Eindhoven |
Beschrijving
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.Make data available in Azure Machine LearningWork 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 a…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
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.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 endpointApplied Skills assessment
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 endpointApplied Skills assessment
Efficient, kostenbewust, innovatief, met hoogste slagingspercentage opleiden bij @The Academy!
Blijf op de hoogte van nieuwe ervaringen
Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.