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.

Who Should Attend

  • 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 Content

  • Module 1: Whiteboard Design Session - Predictive Maintenance for remote field devices
  • Module 2: Hands-on Lab - Predictive Maintenance for remote field devices

Frequently Asked Questions

"Microsoft Cloud Workshop: Predictive Maintenance for remote field devices - Course 40560-G Course" trainings are given in ("Group - One to one") two different  ways.
The one-to-one tuition fee is 720 $.

"Microsoft Cloud Workshop: Predictive Maintenance for remote field devices - Course 40560-G Course" trainings are given in two different ways.

The tuition fee as a group is 650 $. To create a group, you must be at least  3 people.
The one-to-one tuition fee is 720 $.

Our "Microsoft Cloud Workshop: Predictive Maintenance for remote field devices - Course 40560-G Course" trainings are one-to-one 1 days,

Our "Microsoft Cloud Workshop: Predictive Maintenance for remote field devices - Course 40560-G Course" trainings are group 1 days,
 

 

Exam & Certification

Participation Certificate

All trainees who participate in training will have an AcademyTech participation certificate.

Exam & Certification

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