Introduction to AI: Key Concepts and Applications
Completed by Carlos Manuel Guzmán Alfonseca
March 6, 2025
19 hours (approximately)
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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: Algorithms
- Category: Performance Metric
- Category: Model Deployment
- Category: Strategic Leadership
- Category: AI Workflows
- Category: Classification Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data Ethics
- Category: Decision Intelligence
- Category: Data Quality
- Category: Data Validation
- Category: AI Product Strategy
