In this workshop, you will look at the process of implementing a modern application with Azure services. The workshop will cover event sourcing and the Command and Query Responsibility Segregation (CQRS) pattern, data loading, data preparation, data transformation, data serving, anomaly detection, creation of a predictive maintenance model, and real-time scoring of a predictive maintenance model.
Objectives
Capture Internet of Things (IoT) device data with Azure IoT Hub
Process device data with Azure Stream Analytics
Apply the Command and Query Responsibility Segregation (CQRS) pattern with Azure Functions
Build a predictive maintenance model using Azure Synapse Analytics Spark notebooks
Deploy the model to an Azure Machine Learning model registry
Deploy the model to an Azure Container Instance
Generate predictions with Azure Functions accessing a Cosmos DB change feed
Modernize applications and integrate Artificial Intelligence into the application
Prerequisites
Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.
Microsoft Azure Essentials course
Intended Audience
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 ‘About this Course’ and ‘At Course Completion’ 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.
Topics
Whiteboard Design Session - Innovate and modernize apps with Data and AI
Hands-On Lab - Innovate and modernize apps with Data and AI
Other Trainings
Azure
61 Training Set
