Explainable Artificial Intelligence Fundamentals (Synchronous e-learning)
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2025057538
S$950
Original: S$1,900
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About This Course
After completing this short course, the participants will be able to:
• articulate Explainable Artificial Intelligence (EXAI) and its applications
• realize the importance and applications of EXAI
• define different types of explainability
• recognize when explainability is necessary
What You'll Learn
Explainable Artificial Intelligence (XAI or EXAI) is a term that refers to studies that try to demystify Artificial Intelligence (AI) functions. The algorithms used in AI can be categorized into white-box and black-box algorithms. White-box models provide results that are understandable for experts in the domain. Black-box models, on the other hand, are extremely hard to explain and can hardly be understood even by domain experts. XAI algorithms are considered to follow three principles: - transparency, interpretability, and explainability. AI is going to play an essential role in our lives and businesses. Hence, AI systems with their outcomes and decisions explainable and understandable will be getting more essential as well.
Entry Requirements
• At least a polytechnic diploma (or equivalent)
• Basic AI and Machine Learning knowledge
• Basic Python language skill
Course Details
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