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. Faro 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 Faro & Beach Club
2, Praça Dom Francisco Gomes 2, 8000-168 Faro, Faro, Portugal, 8000-168 Faro
Situated in the middle of the city center of Faro, Hotel Faro offers stunning views of Ria Formosa and on the historic area, ...
Situated in the middle of the city center of Faro, Hotel Faro offers stunning views of Ria Formosa and on the historic area, being the ideal place for holidays and business. The proximity to Faro International Airport, privileged access to the best beaches in the Algarve and all the services you have in your involvement, make Hotel Faro the perfect choice for your stay. This modern 4-star hotel offers 90 cozy and sophisticated rooms (including 3 suites), a magnificent rooftop with panoramic views of the city where the restaurant are located, the bar and a heated hydrotherapeutic pool. Hotel Faro also offers garage, GYM & Dayspa, 4 multifunctional rooms and a beach club situated on the island of Faro. At the beach season, the offer also includes a daily transfer service to the Beach Club and boating from Ria Formosa, considered one of the 7 wonders of Portugal.
This instructor-led, live training in Faro (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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