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Build AI solutions with Azure Machine Learning

Azure Machine Learning is a cloud platform for creating and managing machine learning models. Learn how to apply your existing data science skills and build cloud-scale machine learning services that provide the foundation for artificial intelligence (AI) solutions.

Introduction to Azure Machine Learning

Introduction to Azure Machine Learning

Train a machine learning model with Azure Machine Learning

Learn how to use Azure Machine Learning to train a model and register it in a workspace.

Working with Data in Azure Machine Learning

Data is the foundation of machine learning. In this module, you will learn how to work with datastores and datasets in Azure Machine Learning, enabling you to build scalable, cloud-based model training solutions.

Working with Compute Contexts in Azure Machine Learning

One of the key benefits of the cloud is the ability to use scalable, on-demand compute resources for cost-effective processing of large data. In this module, you'll learn how to use cloud compute in Azure Machine Learning to run training experiments at scale.

Orchestrating machine learning with pipelines

Orchestrating machine learning training with pipelines is a key element of DevOps for machine learning. In this module, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning.

Deploying machine learning models with Azure Machine Learning

Learn how to register and deploy ML models with the Azure Machine Learning service.

Automate machine learning model selection with Azure Machine Learning

Learn how to use automated machine learning in Azure Machine Learning to find the best model for your data.

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