.This Azure Machine Learning Service course is designed for beginners and intermediate learners who want to build, train, and deploy machine learning models using Microsoft Azure’s cloud platform. The course provides a practical, hands-on introduction to Azure ML Service and covers the full machine learning lifecycle from data preparation to deployment.

Students will begin by learning how to create and configure an Azure Machine Learning workspace, which serves as the foundation for all ML projects. The course then explores dataset preparation techniques, helping learners understand how to organize and manage data for training machine learning models.

A key focus of the course is Automated Machine Learning (AutoML) using the Azure ML interface, allowing users to build models without writing extensive code. Learners will also explore the Azure ML Designer, where they can visually create machine learning pipelines and understand workflow design.

In addition, the course covers model training using FastAI within Azure ML Service, giving learners exposure to deep learning workflows in the cloud. Students will also learn how to register, manage, and deploy machine learning models into production environments.

By the end of the course, learners will be able to confidently use Azure Machine Learning Service to build end-to-end machine learning solutions, from data preparation and model training to deployment and production management.