Online or onsite, instructor-led live ML Kit training courses demonstrate through interactive hands-on practice how to use ML Kit to build machine learning models that are optimized for processing on mobile devices.
ML Kit training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live ML Kit training can be carried out locally on customer premises in San José or in NobleProg corporate training centers in San José.
ML Kit is also known as Google ML Kit.
NobleProg -- Your Local Training Provider
San Jose - Plaza Roble Las Terrazas
Centro Corporativo Plaza Roble, San José, Costa rica
The San Jose Plaza Roble Las Terrazas Center is situated in one of six buildings connected by covered walkways that make up the secure Plaza Roble complex. With direct access to a major highway intersection, it is easy to get to downtown San Jose, 7km away, and a 15-minute drive to the international airport.
San Jose - Boulevard Dent
6184 Boulevard Dent San Jose San Pedro , San Jose, Costa rica, 11501
Create a fresh headquarters for your company in Costa Rica, featuring fully equipped office facilities at 6184 Boulevard Dent. Dive right into operations in the rapidly expanding capital, situated within the vibrant business hub of The Alameda. Benefit from convenient access to public transportation via bus and train for commuting, as well as the attractions of Downtown San Jose.
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use Google’s ML Kit to build machine learning models that are optimized for processing on mobile devices.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing machine learning features for mobile apps.
Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs.
Enhance and optimize existing apps using the ML Kit SDK for on-device processing and deployment.
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