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 trainings in Federal District can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Mexico City - Mariano Escobedo
Mariano Escobedo 510, Ciudad de Mexico, mexico, 11590
The Mexico City Mariano Escobedo Center is on the 12th floor and penthouse of a tall, slimline commercial building with bold ...
The Mexico City Mariano Escobedo Center is on the 12th floor and penthouse of a tall, slimline commercial building with bold vertical detailing giving it instant kerb-appeal.
Mexico City - Cygni Santa Fe
Alfonso Nápoles Gandara 50, Mexico City, mexico, 1210
The Mexico City Cygni Santa Fé Center is on the top floor of a four-story building that is one of Mexico City's foremost bus...
The Mexico City Cygni Santa Fé Center is on the top floor of a four-story building that is one of Mexico City's foremost business addresses. It has landscaped grounds and an imposing entrance, and the center enjoys incredible views across to the high-rise skyline of Santa Fé, a leading district for financial services businesses.
This instructor-led, live training in Federal District (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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