Masterclass Certificate in AI Explainability Techniques

Name: Masterclass Certificate in AI Explainability Techniques
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The Masterclass Certificate in AI Explainability Techniques is a comprehensive course designed to empower learners with the essential skills to make artificial intelligence (AI) models transparent and understandable. This course is crucial in today's industry, where AI systems are increasingly used to make critical decisions, and there is a growing demand for AI explainability to ensure fairness, accountability, and trust.

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AboutThisCourse

By enrolling in this course, learners will gain a deep understanding of various AI explainability techniques such as Local Interpretable Model-agnostic Explanations (LIME), Shapley Additive Explanations (SHAP), and feature importance methods. These techniques will enable learners to interpret and communicate complex AI models to stakeholders, regulators, and the wider public. This course is essential for professionals working in data science, machine learning engineering, AI research, and regulatory compliance. By mastering AI explainability techniques, learners can advance their careers, increase their earning potential, and contribute to the responsible development and deployment of AI systems.

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CourseDetails

• Introduction to AI Explainability
• Types of AI Explainability Techniques
• Model Interpretability: Feature Importance and Partial Dependence Plots
• Local Interpretable Model-agnostic Explanations (LIME)
• Shapley Additive Explanations (SHAP)
• Explainable Boosting Machines (EBM)
• Comparison of AI Explainability Techniques
• Use Cases and Best Practices in AI Explainability
• Ethics and Regulations in AI Explainability

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BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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MASTERCLASS CERTIFICATE IN AI EXPLAINABILITY TECHNIQUES

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London School of International Business (LSIB)

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05 May 2025

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