Digital 01 Building

No. 12, Guanghua Road, Chaoyang District, Beijing, China, 100000

Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is across the street from Kerry Apartments, with a total construction area of 32,000 square meters. Peripheral package Shopping mall: Beijing Guomao Mall flagship store, Wanda New World Mall, Guiyou Shopping Mall Bank: Guangfa Bank International Trade Branch, Huaxia Bank Jingguang Sub-branch, Industrial Bank Guanghua Road Sub-branch, Huaxia Bank Guanghua Sub-branch, CITIC Bank Wealth Center Branch Hotel: Liandu Business Hotel, Home Inn, Jianguo Hotel, Wanda Sofitel Hotel, Jinglun Hotel, Beijing Bohao Ruiting Hotel, Beijing Kerry Hotel, Millennium Hotel Catering: Grandma's Kitchen, Xiaowangfu, Ganges Indian Restaurant, Shijiao Guoguomen Restaurant, etc.

Explore Our Courses

Explainable AI (XAI) for Ethical AI Development

 14 Hours
This instructor-led, live training in Beijing Chaoyang (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 Beijing Chaoyang (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 Beijing Chaoyang (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 Beijing Chaoyang (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 Beijing Chaoyang (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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Upcoming Courses

Introduction to Explainable AI (XAI) for Beginners

2025-05-26 09:30
14 hours
Digital 01 Building

Explainable AI (XAI) for Transparency in AI Models

2025-06-09 09:30
21 hours
Digital 01 Building

Explainable AI (XAI) for Transparency in AI Models

2025-06-23 09:30
21 hours
Digital 01 Building

Explainable AI (XAI) for Transparency in AI Models

2025-07-07 09:30
21 hours
Digital 01 Building

Explainability in Deep Learning: Demystifying Black-Box Models

2025-07-21 09:30
21 hours
Digital 01 Building

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