MindSphere
IoT Essentials Training for MindSphere (Virtual)

Course Code
MS32VESS
Software
MindSphere 3.0
Language
English
User Level
Beginner
List Price
750,00 € (EUR)
Price may not include taxes applicable to your billing region
LIVE Online Duration
4 Hours

Discover the architecture of MindSphere and the importance of the IoT data model

During this training you will understand the overall concept of MindSphere and its architecture. Initially, you will gain detailed insights in the cornerstones of the architecture of MindSphere, its portfolio and core elements. Key components like assets, aspects and datapoints will be explained to make you familiar with the concept of the IoT data model. You will understand how to set up your own IoT data model.

On completion of this training all those fundamentals will also be visualized by introducing you to a practical use case of a brewery creating digital twins of their machines and components in order to enable you to create your assets by making full use of IoT.

Objectives

This training enables you to:

  • Understand the benefits of using MindSphere, the Cloud-based, Open IoT Operating System
  • Understand the core concepts of MindSphere
  • Set-up your own IoT data model including virtual assets
  • Be able to use MindSphere’s core components like Asset Manager and Fleet Manager
  • Be prepared for advanced topics of MindSphere
WHO SHOULD ATTEND

Target groups

  • Management
  • Industrial automation engineers
  • Software architects
PREREQUISITES

Two screens and headset including microphone in case of Virtual Instructor-led Training

PROVIDED COURSE MATERIALS
None
ATTENDANCE REQUIREMENTS

Prerequisites

  • Laptop with connection to the Internet
  • Web browser (Chrome recommended)

This course is no longer offered. Contact us if you would like to schedule a training event at your facility.

For more information
Mindsphere Academy, Germany

PRIMARY COURSE TOPICS

Content

  • MindSphere Architecture
  • Infrastructure and connectivity overview
  • MindSphere plans and sizes
  • MindSphere IoT data model
    • Assets, Types and Aspects
    • Overall asset hierarchy
    • Data points, data types and variables
  • MindSphere core components
    • Creation of assets and data mapping
    • Visualization of data