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Microsoft Cloud Workshop: Predictive Maintenance for remote field devices (MOC 40560)

 

Kursüberblick

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.

Zielgruppe

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.

Voraussetzungen

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

Kursziele

Design an IoT-based predictive maintenance solution in Azure.

Kursinhalt

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

Lessons

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-on Lab - Predictive Maintenance for remote field devices

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
Online Training

Dauer 1 Tag

Preis (exkl. MwSt.)
  • CHF 840.-
  • SA Voucher: 1
    hardcoded default SA

Sprache der Kursunterlagen: Englisch

Classroom Training

Dauer 1 Tag

Preis (exkl. MwSt.)
  • Schweiz: CHF 840.-
  • SA Voucher: 1
    hardcoded default SA
inkl. Verpflegung
Verpflegung umfasst:

  • Kaffee, Tee, Saft, Wasser, Cola
  • Gebäck und Süssigkeiten
  • Frisches Obst
  • Mittagessen in einem der naheliegenden Restaurants

Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.



Sprache der Kursunterlagen: Englisch

Kurstermine

Instructor-led Online Training:   Dies ist ein Instructor-led Online Training, das über WebEx in einer VoIP Umgebung durchgeführt wird. Sollten Sie Fragen zu einem unserer Online-Kurse haben, können Sie uns jederzeit unter +41 44 832 50 80 oder per E-Mail an info@flane.ch kontaktieren.
Englisch
3 Stunden Differenz
15.11.2020 Online Training Zeitzone: UTC+4
Schweiz

Zur Zeit sind keine Termine verfügbar.  Fragen Sie an via info@flane.ch.