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.
This course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure ...
This two-day course will provide foundational level knowledge on core Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Azure cost management and service level ...