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. Oeiras onsite live AI Engineering trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Hotel Real Oeiras
nº5, R. Álvaro Rodrigues de Azevedo nº 5, 2770-197 Paço de Arcos, Paço de Arcos, Portugal, 2770-197 Paço de Arcos
With a privileged location near the business hubs of Oeiras, such as Lagoas Park, Tagus Park, and Quinta da Fonte, the Hotel ...
With a privileged location near the business hubs of Oeiras, such as Lagoas Park, Tagus Park, and Quinta da Fonte, the Hotel Real Oeiras is a 4-star hotel that offers all the conditions to organize all types of meetings and social events.
Whether it’s a business meeting, a congress, a business event, a social event, a dinner or a private lunch, a marriage, a baptism, an anniversary party or even if it’s an amusing child anniversary, the 8 multipurpose rooms are the ideal option.
With every room having natural light and direct access to the outdoor swimming pool and to the surrounding green areas, this hotel is the perfect choice to make your event memorable.
This instructor-led, live training in Oeiras (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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