Introduction to AI: Key Concepts and Applications
Completed by Kyle Stetar
February 28, 2025
19 hours (approximately)
Kyle Stetar's account is verified. Coursera certifies their successful completion of Introduction to AI: Key Concepts and Applications
What you will learn
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 the tradeoffs in algorithm selection and optimization.
Analyze AI algorithms like SVM, Decision Trees, and Neural Networks, identifying their strengths, weaknesses, and practical applications.
Assess data quality, calculate inter-annotator agreement, and address resource and performance tradeoffs in AI and ML systems.
Skills you will gain
- Category: Data Quality
- Category: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: AI Workflows
- Category: Algorithms
- Category: Performance Measurement
- Category: Machine Learning Methods
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Data Validation
- Category: Responsible AI
- Category: Data Ethics
