How to Integrate AI to RFEM using API
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Everything I Expected and More
"RFEM is everything I expected and more. I’m having a blast learning the software and the webinars are fantastic."
This webinar shows you how to integrate AI to RFEM using API.
Date | Time
Event Language
EnglishContent
Free Webinar | How to Integrate AI to RFEM using API
In this webinar, we show you how to integrate AI to RFEM using API.
Do you have any questions about the topic? You can send them to us up to two days before the webinar. If possible, we will answer them during the webinar.
After the event, you can find the models presented in the webinar below, under Models to Download. This allows you to independently follow the webinar step by step.
Furthermore, each participant will receive a certificate with the name specified during the registration.
Time Schedule
- | New Implementations in WebService & API |
- | Our AI Integration Projects |
- | Text2Model Demo |
- | Using AI for Optimization |
Please Note
During the presentation, you will have the opportunity to ask individual questions.
A computer with internet access is required as well as a loudspeaker, headphones, headset or any other listening device. Alternatively, you can dial in using a phone line for audio connection.
Take advantage of this free webinar and sign up today! The number of participants is limited. After your registration is complete, you will receive a confirmation e-mail including information on how to join the webinar.
Speakers

Dipl.-Ing. (FH) Andreas Hörold
Marketing & Public Relations
Mr. Hörold takes care of the Dlubal Software website, creates press releases as well as marketing materials, and is the moderator of the German and English webinars.

Doğukan Karataş, M.Sc.
Product Engineering
Mr. Karataş is responsible for the development and quality assurance of the Dlubal programs.

Jaroslav Broz
Scrum Master | Team 9
Mr. Broz is leading the development team responsible for Interfaces, WebService and Scripting.
Keywords
Free webinar RFEM 6 AI WebService API Programmable Interface Text2Model
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