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Mirobod

21A, Taras Shevchenko Street, Mirabad, Mirobod, Uzbekistan, 100015

The Centre is located at Taras Shevchenko Street, in the central Mirabad district of Tashkent, Uzbekistan. The location is conveniently placed near the Ming Urik metro station and is also close to the Oybek metro interchange, making it easily accessible by public transport from different parts of the city. The Centre is approximately 5–6 kilometres from Islam Karimov Tashkent International Airport, depending on the route and traffic conditions. The area is well-connected and sits close to key central Tashkent landmarks, business areas, and hospitality options. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate office.

Explore Our Courses

Explainable AI (XAI) for Ethical AI Development

 14 Hours

This instructor-led, live training in Tashkent (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 Tashkent (available online or on-site) is designed for advanced-level professionals seeking to explore state-of-the-art XAI techniques for deep learning models, with an emphasis on building interpretable AI systems.

By the end of this training, participants will be able to:

  • Understand the challenges associated with explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between model performance and transparency.
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Advanced Techniques in Explainable AI (XAI)

 21 Hours

This instructor-led, live training in Tashkent (online or onsite) is designed for advanced-level professionals who wish to deepen their understanding of XAI techniques for complex AI models.

Upon completion of this training, participants will be able to:

  • Implement cutting-edge XAI techniques in AI models.
  • Interpret deep learning models and understand their decision-making processes.
  • 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 Tashkent (available online or on-site) is designed for intermediate to advanced-level professionals who aim to implement transparent AI systems in real-world applications.

By the end of this training, participants will be able to:

  • Understand the significance of transparency in AI models.
  • Apply advanced XAI techniques to interpret complex models.
  • Improve model transparency using SHAP, LIME, and other tools.
  • Address ethical concerns and ensure fairness in AI models.
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Introduction to Explainable AI (XAI) for Beginners

 14 Hours

This live, instructor-led training in Tashkent (available online or on-site) targets beginner-level professionals eager to learn the essentials of Explainable AI and its contribution to the development of responsible AI systems.

By the conclusion 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.
Read more...

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Upcoming Courses

Explainable AI (XAI) for Transparency in AI Models

2026-08-25 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

Explainable AI (XAI) for Transparency in AI Models

2026-09-08 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

Explainable AI (XAI) for Transparency in AI Models

2026-09-22 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

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