Designing and Implementing a Data Science Solution on Azure

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This 4-day course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. - ABIS.

Learn how to build, deploy, and manage machine learning solutions at scale using Azure Machine Learning. You'll use Python and popular ML frameworks to handle data preparation, model training, deployment, and monitoring, all within a cloud environment. Tools like MLflow and the Azure AI Foundry portal are also introduced for managing experiments and building generative AI apps.

In this course you will

• configure and manage the Azure Machine Learning workspace;
• prepare and explore data using Python for machine learning;
• optimize model training for cloud-scale perfomance;
• manage and review models within Azure ML;
• monitor and maintain machine learning solutions with Azure ML and MLflow;
• develop generative AI applications using Azure AI Foundry.