D1 · It's the shared baseline everything else rests on — so you can talk about AI clearly and judge claims for yourself.

1 — What AI is and isn't
2 — How generative AI works
3 — Capabilities & limits
4 — Myths vs. reality
5 — The AI landscape

D2 · Learn to weigh what AI gives you — checking it for accuracy and bias, verifying before you trust it, and recognizing when not to use AI at all. This is the discernment that keeps AI useful and safe in real work.

D3 · Turn understanding into results: prompt effectively, pick the right tool, fit AI into your workflow, and co-create while keeping quality and ownership. This is where AI starts saving you real time on real tasks.

D4 · Use AI safely, fairly, and within the rules — protecting privacy and data, staying accountable for outcomes, and meeting your obligations. This keeps the productivity gains from turning into legal, ethical, or reputational risk.

D5 · For those who lead: spot where AI genuinely adds value, set sensible guardrails, guide your team through adoption, and measure the impact. This is how you run and grow a business with AI, not just use it.