In this workshop, you will learn how to evaluate Microsoft’s catalog of PaaS and SaaS-based IoT products to determine the optimal combination of tools to fulfill Fabrikam’s needs. You will design and implement a solution that simplifies IoT device management and reporting, providing Fabrikam with a faster path to realizing their IoT strategy without requiring a lot of custom development. Next, you will learn how to deploy a trained predictive maintenance Machine Learning model and design a stream processing pipeline that makes predictions with the model in near real-time. At the end of this pipeline is an alert that is sent to the oil pump maintenance team when a pump failure is imminent
Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite 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 ‘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.
After completing this course, students will be able to:
Hands-on Lab – Predictive Maintenance for remote field devices
Microsoft Power Platform App Maker
Designing & Implementing Azure AI Solution
Microsoft Azure Administrator
Developing Solutions For Microsoft Azure
Microsoft Azure Architect Design Exam
Implementing Azure Data Solution
Administering Relational Databases On Microsoft Azure