In this whiteboard design session, you will work with a group to design and implement a solution that combines Azure Databricks with Azure Machine Learning service to build, train and deploy the machine learning and deep learning models. You will learn how to use automated machine learning, model lifecycle management from training to deployment, in batch and real-time inferencing scenarios, and construct deep learning models for Natural Language Processing (NLP) in text classification and forecasting against time-series data. Finally, you’ll learn to compare data with PyTorch and Keras for deep learning.
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Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take an Azure Fundamentals course prior to attending this workshop.
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the course outline. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
This workshop is used to supplement Microsoft Official (MOC) Azure training. These workshops are useful guides for deploying advanced Azure workloads in the Microsoft Cloud Platform.
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available in-person, online, and as a private team training event.
Yes, you can use SATVs to take this course.
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