Warszawa

NobleProg Warszawa, Złota 3/11, Warsaw, Poland, 00-019

NobleProg Tarining Classroom in Warsaw is located at Zlota 3/11 Street. Closest Metro Station is METRO CENTRUM.

Radom

Hotel Promenda, Bulwarowa 15, Radom, Poland, 26-600

The training room is located 5 kilometers from the city center and 8 kilometers from the Warsaw-Radom airport.

Explore Our Courses

Generative & Predictive AI for Developers

 21 Hours
This instructor-led, live training in mazowieckie (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.
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Introduction to Predictive AI

 21 Hours
This instructor-led, live training in mazowieckie (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.
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Predictive AI in DevOps: Enhancing Software Delivery

 14 Hours
This instructor-led, live training in mazowieckie (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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