Online or onsite, instructor-led live Predictive AI training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Predictive AI.
Predictive AI 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 Predictive AI trainings in Belo Horizonte can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Belo Horizonte - Amadeus Business Tower
6594 Contorno Avenue, floors 16 and 17, Belo Horizonte, Brazil
The Belo Horizonte Amadeus Business Tower Center occupies the 16th and 17th floors of a modern high-rise on one of the city's...
The Belo Horizonte Amadeus Business Tower Center occupies the 16th and 17th floors of a modern high-rise on one of the city's main streets, located in the prestigious Stavassi commercial district. The building features intelligent hi-tech systems, a cyber café, heliport and parking. It is 25 minutes from Pampulha Airport for domestic flights.
This instructor-led, live training in Belo Horizonte (online or onsite) is aimed at beginner-level IT professionals who wish to grasp the fundamentals of Predictive AI.By the end of this training, participants will be able to:
Understand the core concepts of Predictive AI and its applications.
Collect, clean, and preprocess data for predictive analysis.
Explore and visualize data to uncover insights.
Build basic statistical models to make predictions.
Evaluate the performance of predictive models.
Apply Predictive AI concepts to real-world scenarios.
This instructor-led, live training in Belo Horizonte (online or onsite) is aimed at intermediate-level DevOps professionals who wish to integrate predictive AI into their DevOps practices.By the end of this training, participants will be able to:
Implement predictive analytics models to forecast and solve challenges in the DevOps pipeline.
Utilize AI-driven tools for enhanced monitoring and operations.
Apply machine learning techniques to improve software delivery workflows.
Design AI strategies for proactive issue resolution and optimization.
Navigate the ethical considerations of using AI in DevOps.
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