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Microsoft

Course 40560-G: Microsoft Cloud Workshop: Predictive Maintenance for remote field devices

  • Duration: 1 days
  • Job Role: Developer

Course 40560-G: Microsoft Cloud Workshop: Predictive Maintenance for remote field devices

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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.

Audience Profile

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.

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.

Course outline

Module 1: Whiteboard Design Session - Predictive Maintenance for remote field devices

Module Overview

In this module, you will work with a group to evaluate Azure’s PaaS and SaaS-based IoT products and design a solution that uses the optimal combination of tools, you will be better able to design an IoT-based predictive maintenance solution in Azure.

Lessons

Review the customer case study
Design a proof of concept solution
Present the solution

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Predictive Maintenance for remote field devices Whiteboard Design Session.

Module 2: Hands-on Lab - Predictive Maintenance for remote field devices

Module Overview

In this module, you will build an end-to-end industrial IoT solution. We will begin by leveraging the Azure IoT Central SaaS offerings to quickly stand up a fully functional remote monitoring solution. Azure IoT Central provides solutions built upon recommendations found in the Azure IoT Reference Architecture.

Lessons

Configuring IoT Central with devices and metadata
Run the Rod Pump Simulator
Creating a device set
Creating a useful dashboard
Create an Event Hub and continuously export data from IoT Central
Use Azure Databricks and Azure Machine Learning service to train and deploy predictive model
Create an Azure Function to predict pump failure

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Predictive Maintenance for remote field devices Hands-On Lab.

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