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Course Overview

  • Understand ethical considerations in AI and data science.
  • Detect and mitigate bias in machine learning models.
  • Apply explainability techniques for transparent decision-making.
  • Navigate compliance and regulatory requirements for AI ethics.
  • Analyze real-world case studies in responsible AI applications.

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    RM 699

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    Excluding GST 18%

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    Syllabus

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

    Course Description

    This course explores ethical AI, fairness in machine learning, and explainability techniques for data science models.

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    Course Objective

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    Skills You Will Gain

    Data AnalyticsData Preparation and Management

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    Course Content

  • Introduction to AI Ethics and Fairness in Data Scie nce
  • Bias Detection and Mitigation in Machine Learning
  • Explainability Techniques: SHAP, LIME, and Model Interpretability
  • Regulatory and Compliance Frameworks for Ethical AI
  • Case Studies in Ethical AI and Responsible Data Science

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