Training path
The AI training path, in order
Three stages, matched to a 90-day rollout: what everyone learns first, what the pilot group learns next, and what tool owners need after that. Every course is free, tracks your progress and issues a certificate.
Stage 1 — everyone, first month
Who: Every person who will touch an AI tool, including managers who only approve the spend.
What changes: They understand what the tool is doing, why it invents things, and what never to paste into it.
- 1. What is AI, really? 1h 10m · 4 lessons
Models, training, tokens and why AI sometimes makes things up.
- 2. AI Fundamentals & Terminology 1h 25m · 4 lessons
Speak the language: context windows, embeddings, agents, fine-tuning.
- 3. AI Terminology in Practice 1h 05m · 4 lessons
Read a pricing page, a model card and a release note without getting lost.
Stage 2 — the pilot group, month two
Who: The people using AI for real tasks daily, plus whoever writes the internal prompts and guidance.
What changes: They get consistent output instead of lucky output, and automate the repeated parts of their work.
- 1. Prompt Engineering that works 2h 05m · 5 lessons
Reusable prompt patterns, structured output, evaluation and iteration.
- 2. AI Automation & Workflows 2h 30m · 4 lessons
Wire tools together with Make, n8n and Zapier to remove manual work.
Stage 3 — owners and builders, month three onward
Who: Tool owners, technical leads and anyone building something on top of AI rather than just using it.
What changes: They can design agents and retrieval systems, and judge build-versus-buy honestly.
- 1. AI Agents in production 3h 15m · 4 lessons
Tool use, planning loops, evaluation, cost control and human handover.
- 2. RAG Systems & Knowledge Bases 2h 50m · 4 lessons
Chunking, embeddings, retrieval quality and grounded answers you can trust.
- 3. AI Business Systems & Strategy 3h 00m · 4 lessons
Build an AI adoption roadmap, policy, budget and ROI model for a team.
- 4. AI Product Development 3h 10m · 5 lessons
Take an AI feature from idea to shipped: scoping, evals, cost control and launch.
Put it to work
Pair the training with the tools people will actually use, and the rules they follow while using them.