Whether delivered online or on-site, our instructor-led live Predictive AI training courses emphasize practical application through interactive hands-on exercises, covering both fundamental concepts and advanced topics in Predictive AI.
You can choose between "online live training" or "onsite live training". Online live training, also known as "remote live training", is conducted via an interactive remote desktop session. Onsite live training takes place either at your customer premises in Lille or within NobleProg's corporate training centers in Lille.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led, live training in Lille (online or onsite) is aimed at intermediate-level developers who wish 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 instructor-led, live training held in Lille (online or onsite) is designed for beginner-level IT professionals seeking to understand the fundamentals of Predictive Artificial Intelligence.
Upon completion of this course, participants will be able to:
Comprehend the core principles of Predictive AI and its practical applications.
Collect, clean, and preprocess data suitable for predictive analysis.
Explore and visualize data to reveal hidden insights.
Construct fundamental statistical models to generate predictions.
Assess the performance of predictive models.
Apply Predictive AI concepts to real-world business scenarios.
This instructor-led, live training in Lille (online or onsite) is designed for intermediate-level DevOps professionals who wish 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 address challenges within the DevOps pipeline.
Leverage AI-driven tools to improve monitoring and operational capabilities.
Apply machine learning techniques to enhance software delivery workflows.
Design AI strategies for proactive issue resolution and optimization.
Navigate the ethical considerations associated with using AI in DevOps.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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