AI Solutions with Azure Machine Learning in Saudia, Bahrain, Oman

Introduction to Azure Machine Learning

In this module, you will learn how to:

Provision an Azure Machine Learning workspace.
Use tools and interfaces to work with Azure Machine Learning.
Run code-based experiments in an Azure Machine Learning workspace.

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.

In this module, you will learn how to:

Use an Estimator to run a model training script as an Azure Machine Learning experiment.
Create reusable, parameterized training scripts.
Register models, including metadata such as performance metric

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.

Create and use datastores in an Azure Machine Learning workspace.
Create and use datasets in an Azure Machine Learning workspace.

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.

Work with environments
Work with compute targets

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.

Create Pipeline steps
Pass data between steps
Publish and run a pipeline
Schedule a pipeline

Deploying machine learning models with Azure Machine Learning

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

In this module, you will learn how to:

Deploy a model as a real-time inferencing service.
Consume a real-time inferencing service.
Troubleshoot service deployment

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.

In this module, you will learn how to:

Use Azure Machine Learning’s automated machine learning capabilities to determine the best performing algorithm for your data.
Use automated machine learning to preprocess data for training.
Run an automated machine learning experiment.

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