Azure Data Scientist Associate: Azure Machine Learning Workspaces

Azure Machine Learning workspaces provide an environment for performing experiments and managing data computer targets and other assets. Other assets can include notebooks pipelines and trained models. This course will focus on using the Azure Machine Learning SDK.

In this course you;ll learn to create an Azure Machine Learning workspace by creating a machine learning resources creating compute resources and cloning a notebook. Next you;ll examine how to install the Machine Learning SDK for Python and create code to connect to a workspace. You;ll learn to create Python scripts to run an experiment log metrics and retrieve and view logged metrics. Finally you;ll examine how to use the Azure Machine Learning SDK to run code experiments create a script to train a model and run a notebook using Jupyter to train predictive models.

This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.