Table of Contents

  1. Introduction: AI for Everyone
  2. AI Applications and Methodologies
  3. Mathematics in Artificial Intelligence
  4. AI Values (Ethical Decision-Making)
  5. Introduction to Storytelling
  6. Critical and Creative Thinking
  7. Data Analysis
  8. Regression
  9. Classification and Clustering
  10. AI Values (Bias Awareness)
  11. Capstone Project
  12. Model Lifecycle (Knowledge)
  13. Storytelling Through Data
  14. AI Applications in Use in Real-World