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 Bordeaux or in NobleProg corporate training centers in Bordeaux.
NobleProg -- Your Local Training Provider
Bordeaux, Mériadeck
Nomade Bordeaux, 39 Rue du Château d'Eau, Bordeaux, france, 33000
Located in the heart of Bordeaux, in the Mériadeck quarter, fully equipped and air-conditioned, NOMADE allows mobile prof...
Located in the heart of Bordeaux, in the Mériadeck quarter, fully equipped and air-conditioned, NOMADE allows mobile professionals to settle down to work and share with other coworkers in a friendly atmosphere.
It offers 23 workstations in open space, a shared meeting room and 5 meeting rooms for rent in Bordeaux center.
The entire space can also be rented in the evening for your events.
Access: TRAM A MERIADECK station, TRAM B GAMBETTA station
This instructor-led, live training in Bordeaux (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 Bordeaux (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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