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Ansys Twin Deployer
Getting Started (Self-paced Learning Available)

Course Overview

Ansys Twin Deployer allows the validation of a Digital Twin in an environment that is closer to what can be found in cloud infrastructures (simulation engine, operating system, data streams, and so on).

Among several capabilities, we will introduce you how to enrich and test twin models, how to generate scaffolding codes (eg., Python apps) for twin standalone headless consumption, how to enable twin large-scale deployment through OCI-compliant container-based, and how to use machine learning techniques to optimize and enhance (physics-based) twins behavior using data (hybrid analytics).

Prerequisites

Completion of the following course is highly recommended.

  • Ansys Twin Builder Getting Started: Export and Deployment.
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Learning Outcome

Following completion of this course, you will be able to:

  • Import the Twin model in Twin Deployer.
  • Connect the Twin model to CSV input files, FMU models and Python code.
  • Run the model and plot results.

 Available Dates

Learning Options

Training materials for this course are available with an Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. 

Self-paced Learning 

Complete a class on your own schedule at your own pace. Scope is equivalent to Instructor led classes. Includes video lecture, workshops and input files. All our Self-Paced video courses are only available with an Ansys Learning Hub subscription.

 Agenda