Objectives of the training
This training course provides participants with the knowledge they need to use Azure services to develop, train and deploy machine learning solutions.Targeted audience
This course is designed for data scientists and others with significant responsibility for training and deploying machine learning models.Prerequisite
Before taking this course, participants must have knowledge and skills on :• Azure fundamentals
• Understanding of data science, including how to prepare data, train models and evaluate competing models to select the best one.
• Python programming and the use of Python libraries: pandas, scikit-learn, matplotlib and seaborn
Trainers
Benefits for Participants
Discover the Azure services that support Data Science
Examine the Azure Data Science service
Explain how to deploy the Machine Learning service to automate the data pipeline.
Course architecture
Doing Data Science on Azure
Overview of Azure Data Science options
Overview of Azure Notebooks
Doing Data Science with Azure Machine Learning Service
Overview of the Azure Machine Learning (AML) service
Registering and deploying ML models with the AML service
Automate machine learning with Azure Machine Learning Service
Automate machine learning model selection
Automate hyperparameter settings with HyperDrive
Manage and monitor machine learning models with Azure Machine Learning Service
Manage and monitor machine learning models.
Pedagogical details
Type of training
Private or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote