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

Explainable AI (XAI) for Ethical AI Development

 14 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at intermediate-level professionals who wish to apply Explainable AI techniques to ensure fairness, transparency, and ethical AI systems. By the end of this training, participants will be able to:
  • Understand the role of XAI in ethical AI systems.
  • Implement XAI techniques to detect and mitigate bias in AI models.
  • Ensure transparency in AI model decision-making processes.
  • Align AI development with ethical and regulatory standards.
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Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at advanced-level professionals who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems. By the end of this training, participants will be able to:
  • Understand the challenges of explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Advanced Techniques in Explainable AI (XAI)

 21 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at advanced-level professionals who wish to enhance their understanding of XAI techniques for complex AI models. By the end of this training, participants will be able to:
  • Implement state-of-the-art XAI techniques in AI models.
  • Interpret deep learning models and their decisions.
  • Apply advanced model-agnostic and model-specific explainability methods.
  • Address challenges related to AI transparency in complex systems.
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Explainable AI (XAI) for Transparency in AI Models

 21 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement transparent AI systems in real-world applications. By the end of this training, participants will be able to:
  • Understand the importance of transparency in AI models.
  • Implement advanced XAI techniques to interpret complex models.
  • Enhance model transparency using SHAP, LIME, and other tools.
  • Address ethical concerns and fairness in AI models.
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Introduction to Explainable AI (XAI) for Beginners

 14 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at beginner-level professionals who wish to learn the basics of Explainable AI and its role in developing responsible AI systems. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of Explainable AI.
  • Explore the importance of transparency and interpretability in AI models.
  • Learn basic techniques for making AI models explainable.
  • Apply XAI techniques to simple machine learning models.
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