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AI Ethics & Responsible AI
Understand the ethical implications of AI systems and learn to build fair, transparent, and trustworthy AI applications.
📊All Levels
⏱️4 weeks
📚4 Modules
Course Modules
1
Bias & Fairness in AI
Week 1Types of BiasFairness MetricsBias Mitigation
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2
Explainable AI (XAI)
Week 2Why XAI MattersLIME & SHAPXAI in Healthcare
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3
Privacy, Security & Governance
Week 3Data PrivacyAdversarial AttacksAI Governance Frameworks
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4
Ethical Decisions & Case Studies
Week 4Ethical FrameworksReal-World CasesBuilding Responsibly
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What You'll Build
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Bias Audit
Audit an existing ML model for demographic bias
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XAI Dashboard
SHAP-based explainability dashboard for model decisions
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Ethics Report
Responsible AI assessment for a real-world system
Tools & Technologies
Python
Fairlearn
SHAP
LIME
Aequitas
Alibi
IBM AI Fairness 360
Evidently AI
Ready to Start Learning?
Access all course materials, notebooks, and projects on GitHub
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