Computational Thinking for AI

What You'll Learn

You don't need a computer science degree to use AI well. You need five thinking skills that most people already have but don't know how to apply. This course teaches pattern recognition, problem decomposition, logical reasoning, algorithmic thinking, and debugging — through stories, not textbooks. Each skill connects directly to how you work with AI every day.

• The Missing Foundation — The five thinking skills hiding in plain sight, and why they matter more than any AI tool. Start here.
• Pattern Recognition — Spot hallucinations, structural tells, and suspicious patterns before they cost you.
• Problem Decomposition — Break complex AI tasks into pieces that actually work, from prompts to full workflows.
• Logical Reasoning — Trace AI reasoning chains, find broken premises, and know when confidence is not evidence.
• Algorithms — Understand what AI is actually doing — running algorithms, not thinking — and use that knowledge.
• Debugging — When AI gets it wrong, trace backwards to the root cause and fix it systematically.
• Putting It All Together — All five skills in one real AI workflow, a worked example from start to finish.

Time commitment: Seven modules, each built around a single skill. Module 1 is free — work through it and you'll know immediately whether the rest is worth your time.