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. Muntenia onsite live Predictive AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Le Boutique Hotel Moxa is on one of the oldest and known city streets, named Calea Victoriei, but in the same time its situat...
Le Boutique Hotel Moxa is on one of the oldest and known city streets, named Calea Victoriei, but in the same time its situated in a quiet part of the busy city of Bucharest. Its located near many cultural attractions and business centers. The Conference Center has access to the patio so you can enjoy the green nature. There are three conference rooms, fully equipped with the latest technologies.
ActiveOne Bucharest
Street Dr. Iacob Felix 55, Bucharest , Romania, 011039
This instructor-led, live training in Muntenia (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 Muntenia (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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