What happens when artificial intelligence meets alternate realities? From gesture prediction to scene generation, AI is quietly rewriting the rules of immersion.
Our instructor-led courses explore how machine learning enhances both the frontend and backend of AR and VR systems — powering smarter environments, adaptive interactions, and next-gen entertainment, retail, and industrial simulations.
Join live training online via interactive remote desktop, or bring the experience onsite in Graz, where hands-on labs simulate real-world XR workflows and intelligent spatial computing challenges.
Onsite live training sessions can be hosted at your own facility in Graz or conducted at a NobleProg training center, built for teams creating the next dimension of user experience.
Also referred to as AI-Powered AR and VR, AI-Enhanced XR, Intelligent AR/VR Systems, or AI for Immersive Tech, this course track pushes beyond presence — into precision, prediction, and personalization.
NobleProg – Your Local Training Provider
NobleProg Graz
Waagner-Biro-Strasse 47, Graz, Austria, 8020
Overview
Our training facilities are located at Waagner-Biro-Strasse 47 in Graz. Our spacious training rooms are located directly in the old town and offer optimal training conditions for your needs.
Directions
The NobleProg training facilities are best reached via the A9 motorway and the federal highway 67.
Parking spaces
There are parking spaces in the streets around our training rooms as well as the ContiPark multi-storey car park.
Local infrastructure
There are numerous restaurants in the downtown area and hotels are also within walking distance.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level education professionals who wish to apply AI and AR/VR technologies to design interactive and personalized learning experiences for students.
By the end of this training, participants will be able to:
Understand the role of AI in AR/VR for education.
Implement AR/VR solutions for immersive learning environments.
Design personalized education systems using AI.
Evaluate the ethical and privacy concerns of AI in education.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgery simulations, and rehabilitation.
By the end of this training, participants will be able to:
Understand the role of AI in enhancing AR/VR experiences in healthcare.
Use AR/VR for surgery simulations and medical training.
Apply AR/VR tools in patient rehabilitation and therapy.
Explore the ethical and privacy concerns in AI-enhanced medical tools.
This instructor-led, live training in Graz (online or onsite) is aimed at advanced-level professionals who wish to master AI integration for creating cutting-edge AR/VR systems with improved performance and interactivity.
By the end of this training, participants will be able to:
Implement advanced AI algorithms in AR/VR systems for optimization.
Develop AI-driven interactive environments and objects.
Apply machine learning to enhance user experience and personalization.
Optimize real-time processing and performance using AI.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level professionals who wish to implement AI in AR/VR applications for enhanced gaming and entertainment experiences.
By the end of this training, participants will be able to:
Understand AI’s role in gaming and entertainment AR/VR applications.
Implement AI-driven non-player characters (NPCs) in immersive environments.
Create personalized user experiences with AI algorithms.
Develop AR/VR gaming systems using AI for real-time processing.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level professionals who wish to learn how to apply AI techniques to AR and VR systems.
By the end of this training, participants will be able to:
Understand the basics of AI and its role in AR/VR technologies.
Explore key AI-driven techniques for enhancing AR/VR experiences.
Implement simple AI models in AR/VR applications.
Use AI to improve interactivity and user experiences in AR/VR.
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