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 Hanoi or in NobleProg corporate training centers in Hanoi.
NobleProg -- Your Local Training Provider
Ly Thai To
Level 5, 41A Ly Thai To Street, Hanoi, Vietnam
The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is ...
The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.
This instructor-led, live training in Hanoi (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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