Gdynia

Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409

The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.

Gdańsk

Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841

The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.

Explore Our Courses

Explainable AI (XAI) for Ethical AI Development

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