To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow,...
Read MoreTo train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
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Live Virtual |9:00AM – 5:00PM EDT
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Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.
Lunch is normally an hour-long after 3-3.5 hours of the class day.
Microsoft courses are conducted in English unless otherwise specified.
Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.
Thank Tech Data for sponsoring this course you really take care of your partners.
The class covered the concepts needed for the AWS Cloud Practitioner Certification.
the interface was super easy to use and the instructions to get ready for the course was also very simple and easy to understand.
ExitCertified provided a very organized way to learn and provided materials to follow along.
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