AI User - Course Syllabus
Detailed outline for AI User course developed by Carnegie Mellon University, designed to provide a AI literacy for community colleges.
In this course, learners develop their knowledge and skills to become informed users of modern artificial intelligence (AI) and machine learning (ML) based systems. They gain knowledge and insight into AI/ML domains, AI/ML application capabilities, how AI/ML applications achieve their objectives, and potential AI/ML limitations. Learners engage with concepts and practice hands-on skills to operate various AI/ML-powered systems in relevant application areas. Learners will be able to identify long-term growing trends in the deployment of AI/ML-enabled automation, current capabilities / limitations, and typical sources of error. Additional topics include the role data plays in AI/ML-powered applications, how to validate and troubleshoot such applications, how to identify when an AI/ML system fails, how to identify inherent security issues within AI systems and mitigate their effects during decision-making, as well as the impact of computing devices and environments AI/ML systems run on.
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