Delivered either online or on-site, our instructor-led live Predictive AI courses provide a comprehensive understanding of both foundational concepts and advanced topics through interactive, hands-on practice.
You can choose between "online live training" and "onsite live training." Online live training, also known as "remote live training," is conducted via an interactive remote desktop environment. Onsite live training can be hosted directly at your premises in Athens or at NobleProg's corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led live training in Athens (online or onsite) is designed for intermediate-level developers aiming to build AI-powered applications using predictive analytics and generative models.
By the end of this training, participants will be able to:
Understand the fundamentals of predictive AI and generative models.
Utilize AI-powered tools for predictive coding, forecasting, and automation.
Implement LLMs (Large Language Models) and transformers for text and code generation.
Apply time-series forecasting and AI-based recommendations.
Develop and fine-tune AI models for real-world applications.
Evaluate ethical considerations and best practices in AI deployment.
This live, instructor-led course in Athens—delivered online or on-site—is designed to equip beginner-level IT professionals with a strong command of the fundamentals of Predictive AI.
By the time this training concludes, participants will be equipped to:
Comprehend the essential concepts of Predictive AI and its diverse applications.
Collect, clean, and preprocess data specifically for predictive analysis.
Explore and visualize datasets to reveal hidden insights.
Develop basic statistical models capable of making accurate predictions.
Evaluate the performance and accuracy of predictive models.
Apply Predictive AI principles to solve real-world problems.
This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level DevOps professionals looking to integrate predictive AI into their DevOps practices.
Upon completion of this training, participants will be able to:
Implement predictive analytics models to forecast and resolve challenges within the DevOps pipeline.
Leverage 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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Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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