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. Hamburg onsite live Predictive AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. E...
Overview
Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. Easily accessible and centrally located in the Hanseatic city steeped in tradition, this is the ideal location for our participants.
Arrival
The NobleProg training facilities are located in the middle of the Schanzenviertel. The nearest bus stops are "Schulterblatt" for Metrobus line 15 and "Sternbrücke" for Metrobus line 3. The nearest S-Bahn and U-Bahn stations are Sternschanze.
Parking
In the area along the Eifflerstrasse and the nearby side streets, cars can be parked, even if you have to search for a moment. There is no charge for parking..
Local Services
The Schanzenviertel offers a wide range of gastronomic options and with Pyjama Park, Hotel Boston and other small and medium-sized hotels, local accommodation is also possible.
This instructor-led, live training in Hamburg (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 Hamburg (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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