Overview

Who it’s for: Professionals and teams who want a practical, repeatable process for turning AI from an answer-generator into a genuine decision partner — no data science background required.

AI creates the most value when it helps you reason and challenge assumptions — not merely generate faster answers. This course combines short conceptual micro-lessons (Why & What) with six hands-on decision templates (How), applied throughout to one continuous, realistic retail case: BeautyCo, a premium beauty retailer whose traffic is growing while conversion, satisfaction and repeat purchase decline.

What you’ll learn

  • Why more information doesn’t automatically mean better decisions
  • The Evidence → Reasoning → Judgement model, and the Guardrails that keep AI outputs trustworthy
  • Context engineering with the RGCTO framework (Role, Goal, Context, Tasks, Output)
  • Six reusable decision templates: Decision Framing, Situation Assessment, Root Cause Analysis, Evidence Validation, Options Assessment, and the Executive Action Plan
  • When to reach for NotebookLM, ChatGPT/Gemini, Google Colab, Google Sheets or Nearpod — introduced exactly where each tool adds value, never all at once
  • A continuous, realistic case — BeautyCo — carried from CEO problem to 90-day action plan

Ready to start?

The course is free to explore — start with Module 1 or dive straight into the BeautyCo case.

Start the Interactive Course →