Rzeszów

RISE, Plac Wolności 13, Rzeszów, Poland, 35-073

The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.

Głogów Małopolski

NobleProg , Strefowa 1, Głogów Małopolski, Poland, 36-060

The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.

Explore Our Courses

Generative & Predictive AI for Developers

 21 Hours
This instructor-led, live training in podkarpackie (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 podkarpackie (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 podkarpackie (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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