Online or onsite, instructor-led live AI Engineering training courses demonstrate through interactive hands-on practice how to apply artificial intelligence techniques to solve complex problems in various domains.
AI Engineering 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 AI Engineering training can be carried out locally on customer premises in Bielsko-Biała or in NobleProg corporate training centers in Bielsko-Biała.
NobleProg -- Your Local Training Provider
Bielsko-Biała
ZIAD, Armii Krajowej 220, Bielsko Biała, Poland, 43-316
NobleProg training rooms in Bielsko-Biała are located in the ZIAD building on the ground floor (Zakład I...
NobleProg training rooms in Bielsko-Biała are located in the ZIAD building on the ground floor (Zakład Informatyki, Automatyki i Doskonalenia Zawodowego (on Aleja Armii Krajowej 220 a. ZIAD buildings are located at the foot of the Szyndzielnia slope.) The building has a ramp for disabled people From the bus station, go to the Warszawska Dworzec station, north (on the same side as the bus station) Bus number 8 in the direction of Szyndzielnia goes about 22 minutes (9 stops). The target stop is the Home Army ZIAD, which I am located 400 meters from the ZIAD training room, in the same way, you can get to ZIAD from the Bielsko Biała Główna railway station.
This instructor-led, live training in Bielsko-Biała (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.By the end of this training, participants will be able to:
Understand the core concepts and technologies behind AI and machine learning.
Implement basic machine learning models using TensorFlow and PyTorch.
Apply AI techniques to solve practical problems in software development.
Manage and maintain AI projects using best practices in AI engineering.
Recognize the ethical implications and responsibilities involved in developing AI systems.
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