Responsible AI in Industry - Lessons Learned in Practice

This course on Responsible AI in Industry aims to provide learners with insights and lessons learned in practice. The course covers topics such as explainability, challenges, machine learning operations, fairness, and various toolkits like H2O Toolkit and Amazon SageMaker. Through case studies and examples, participants will understand the importance of responsible AI adoption and performance fairness. The teaching method includes presentations, tool demonstrations, and interactive discussions. This course is intended for professionals working in the field of AI, data science, or machine learning who are interested in implementing responsible AI practices in industry.