Whether delivered online or on-site, these instructor-led live Augmented Reality (AR) training courses cover both fundamental concepts and advanced topics through interactive discussions and hands-on practice.
AR training is offered as either “online live training” or “onsite live training.” Online live training (also known as “remote live training”) is conducted via an interactive, remote desktop. Onsite live training can be provided locally at customer premises in Prague or at NobleProg corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
Discover the capabilities of Google ARCore in this comprehensive 21-hour training in Prague. The course covers core APIs, motion tracking, and plane detection, guiding you to design interactive AR prototypes for Android and deploy immersive educational or commercial apps. You will build practical skills through hands-on labs and conclude with a final project evaluation.
This instructor-led live training in Prague (online or onsite) is designed for intermediate-level automation engineers aiming to utilize VR and AR technologies to design, develop, and implement solutions in industrial automation contexts.
By the end of this training, participants will be able to:
Understand the basics of VR and AR technologies.
Explore the applications of VR/AR in industrial automation.
Gain hands-on experience with VR/AR tools and software.
Learn to design and develop VR/AR solutions for automation projects.
Integrate VR/AR technologies with existing automation systems.
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