AI Foundations — Illustrated Study Guide

A friendly, illustrated study guide for the AI Foundations certification — no math or coding required. Four modules build an accurate mental model of modern AI: what AI really is, the types of machine learning, the end-to-end AI project workflow, and how to use AI responsibly. Rich with Mermaid diagrams, comparison tables, worked examples, and self-checks.

Key facts

• Course price: $65 (one-time payment)
• Field: Artificial Intelligence & LLMs
• Prepares for: AI Foundations
• 4 modules · 12 lessons · about 3 hours of lessons
• Self-paced, online, illustrated lessons

Course outline

1. What AI Is (and Isn't) — A clear, hype-free definition of AI and how it nests with machine learning and deep learning.
   • What Artificial Intelligence Really Means
   • AI vs Machine Learning vs Deep Learning
   • Training vs Inference: Learning vs Using
2. Types of Machine Learning — The three learning families, plus data, features, labels, and the model types they produce.
   • Data, Features, and Labels
   • The Three Families: Supervised, Unsupervised, Reinforcement
   • Model Types: Classification, Regression, Generative
3. The AI Workflow — The end-to-end project lifecycle, from framing the problem to monitoring a live model.
   • The End-to-End AI Project Lifecycle
   • Evaluation: Accuracy and the Train/Test Split
   • Overfitting in Plain Terms
4. Using AI Responsibly — Bias, fairness, ethics, and telling genuine capability apart from hype.
   • Bias and Fairness
   • AI Ethics and Responsible Use
   • Hype vs Reality: Limits of AI