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 training can be carried out locally on customer premises in Coimbra or in NobleProg corporate training centers in Coimbra.
NobleProg -- Your Local Training Provider
Hotel Tivoli Coimbra
4, R. João Machado 4, 3000-226 Coimbra, Coimbra, Portugal
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic c...
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic centre, the University Library, the Santa Clara-a-Velha Monastery and the Sé. Nearby is Conímbriga, a well conserved city of the Roman age. For the more active, canoeing on the Mondego River is a must. Families can visit the Portugal dos Pequenitos to see the most emblematic cities and monuments of the country in miniature form.
This instructor-led, live training in Coimbra (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 Coimbra (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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