Train and deploy a machine learning model with Azure Machine Learning (DP-3007)
Description
In this single-day course you will learn how to use train and deploy a Machine Learning model with Azure Machine Learning (Azure ML).
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 course, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
The contents of this course are also included in the training Design and Implement an Azure Data Science solution (DP-100).
As an (aspiring) Data Scientist, you are familiar with the Data Science process and concepts. Now you want to bring Machine Learning models to a managed environment in Azure Machine Learning.
After completing this course, you will be able to:
- Make data available in Azure Machine Learning.
- Work with compute targets 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.
Prerequisites
As this is a single-day course, it is important to notice that this is not a beginner's course. You should already have familiarity with:
- The data science process. The course doesn't elaborate on data science concepts.
- Python. The course focuses on the Python SDK for interacting with Azure Machine Learning.
Course outline
- Configure the Azure Machine Learning workspace
- Explore Azure Machine Learning
- Make data available in Azure Machine Learning
- Work with compute resources in Azure Machine Learning
- Work with environments in Azure Machine Learning
- Train and track machine learning models in Azure Machine Learning
- Run a training script as a command job in Azure Machine Learning
- Track model training with MLflow in jobs
- Deploy a model with Azure Machine Learning
- Register an MLflow model in Azure Machine Learning
- Deploy a model to a managed online endpoint
Course material
In the course "Train and deploy a machine learning model with Azure Machine Learning" (DP-3007) we use Microsoft Official Courseware. We will ensure that you receive this (digital) material at the start of the course.
Available dates
| Title | Date |
|---|---|
| DP-3007 |
| Title | Date |
|---|---|
| DP-3007 |
