Who should attend
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.
Course Objectives
At the end of this workshop, you will be able to:
- 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
Course Content
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.