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.
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 "Summary" and "Skills gained" areas. 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.
Die Teilnehmer lernen in dieser SChulung eine intelligente Web-App mittels Machine Learning zu erstellen sowie bereitzustellen. Das notwendige Wissen wird dabei mit Hilfe einer Fallstudie vermittelt.
In dieser Schulung lernen Cloud-Architekten und IT-Professionals Azure Container Services durch Skalierung, Lastverteilung sowie Service Discovery bereitzustellen.
In course, you will work with a group to design an end-to-end solution that leverages many of Microsoft Azure's security features. At the end of this session, you will be better able to design and recommend solutions that help organizations properly secure their cloud-based ...
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn ...