Certificate in AI Explainability and its Applications

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The Certificate in AI Explainability and its Applications is a comprehensive course designed to meet the growing industry demand for AI models that are transparent, reliable, and trustworthy. This certificate program emphasizes the importance of Explainable AI (XAI) and its applications across various sectors.

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Learners will gain a solid understanding of XAI techniques, their significance in ethical AI development, and how to implement these methods in real-world scenarios. With the increasing focus on AI regulations and transparency, this course equips learners with essential skills to address industry needs and overcome challenges related to AI model interpretability. Completing this certificate course will empower professionals to advance their careers in AI development, data science, and technology-driven fields, where XAI skills are highly sought after and valued.

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โ€ข Introduction to AI Explainability
โ€ข Importance of Explainable AI (XAI)
โ€ข Key Concepts in AI Explainability
โ€ข Types of AI Models: Transparent vs Black-box
โ€ข Explainability Techniques for Machine Learning
โ€ข Evaluating AI Explainability: Metrics and Criteria
โ€ข Ethics and Regulations in AI Explainability
โ€ข Real-world Applications of Explainable AI
โ€ข Challenges and Future Directions in XAI

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
CERTIFICATE IN AI EXPLAINABILITY AND ITS APPLICATIONS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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