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Foundations of AI

Part I — Foundations of AI

Unit 1: History and Evolution of AI
Unit 2: Goals and Foundations of AI
Unit 3: How AI Works

Part II — How Machines Learn

Unit 4: Machine Learning Paradigms
Unit 5: Deep Learning and Neural Networks
Unit 6: AI Applications Across Domains

Part III — AI in Practice

Unit 7: Prompt Engineering
Unit 8: AI Workspaces and Assistants
Unit 9: Careers in AI

Part IV — AI in the Office

Unit 10: Documents and Texts
Unit 11: Presentations
Unit 12: Spreadsheets

Part V — AI for Data Analysis and Computing

Unit 13: AI for Descriptive Analysis
Unit 14: AI for Data Visualization
Unit 15: Vibe Coding Tools

Part VI — Responsible AI

Unit 16: Responsible AI

Appendices

Appendix A: Python and Colab Primer
Appendix B: Capstone Project Guide
Appendix C: AI Use and Disclosure
Appendix D: The Course Prompt Library

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By Leandro Nunes de Castro, Ph.D.

© Copyright 2026.