Course Content

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Week 1: AI Ethics Foundations 

• Core AI ethics principles 

• Ethical frameworks 

 

Week 2: Bias & Fairness 

• Sources of bias 

• Fairness metrics 

• Mitigation strategies 

 

Week 3: Explainable AI 

• XAI techniques 

• Interpretability tools 

 

Week 4: Responsible AI & Governance 

• Governance frameworks 

• AI risk management 

 

Week 5: Privacy & Security 

• Data privacy regulations 

• AI system security considerations 

 

Week 6: Regulatory Frameworks 

• Global AI regulations (EU AI Act, NIST AI RMF) 

• Organizational AI policies 

 

Week 7: LLM Business Use Cases I 

• Sales 

• Marketing 

• HR 

 

Week 8: LLM Business Use Cases II 

• Finance 

• Operations 

• Healthcare 

• Education 

 

Week 9: AI Strategy & Adoption Roadmaps 

• ROI measurement 

• Change management 

• AI Center of Excellence 

 

Week 10: Capstone 

• Enterprise AI Transformation Strategy project 

• Capstone presentations