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 Caloocan or in NobleProg corporate training centers in Caloocan.
NobleProg -- Your Local Training Provider
Manila, Cyber One Eastwood
6/F Cyber One Building, 11, City Cyberpark, Bagumbayan, Quezon City, Philippines
Located inside Eastwood City - the 17 hectares (42 acres) office, commercial, and residential mixed-use development is locate...
Located inside Eastwood City - the 17 hectares (42 acres) office, commercial, and residential mixed-use development is located in the Libis area of Quezon City. It was developed by the real estate giant Megaworld Corporation. It currently hosts 12 luxury residential condominium towers, 11 office buildings, two shopping malls and many restaurants and coffee shops. Cyber One is a modern office IT building consisting of 31 floors with gleaming exterior with column-free layout providing flexibility in space planning, state-of-the-art telecommunications and an eye catching tempered glass exterior. Major companies based here include IBM Business Services, Inc., Fonterra Brand, Gandour Philippines, and Emperador Distillers Inc.
This instructor-led, live training in Caloocan (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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