Introduction to AI: Key Concepts and Applications

The course "Core Concepts in AI" provides a comprehensive foundation in artificial intelligence (AI) and machine learning (ML), equipping learners with the essential tools to understand, evaluate, and implement AI systems effectively. From decoding key terminology and frameworks like R.O.A.D. (Requirements, Operationalize Data, Analytic Method, Deployment) to exploring algorithm tradeoffs and data quality, this course offers practical insights that bridge technical concepts with strategic decisi

• Understand core AI and ML concepts, key vocabulary, and the R.O.A.D. Framework for effective AI project management and implementation
• Evaluate machine learning models using performance metrics and understand tradeoffs in algorithm selection and optimization
• Analyze AI algorithms like SVM, Decision Trees, and Neural Networks, identifying strengths, weaknesses, and applications
• Assess data quality, calculate inter-annotator agreement, and address resource and performance tradeoffs in AI systems