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 Erfurt can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spa...
Overview
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spacious training rooms are located to the east of Erfurt's old town and offer optimal training conditions for your needs.
Directions
The NobleProg training rooms are easy to reach via the A71 motorway and the B7 federal road. If you arrive by train, it is not far to Erfurt main station with its good ICE connections.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants and hotels in the old town, which can be reached on foot, and as the capital of Thuringia, Erfurt has a lot to offer.
This instructor-led, live training in Erfurt (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 Erfurt (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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