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Start Here — 5-Minute Decision Tree

Pick the row that best describes you and follow the link.


I'm running a session for…

Your audience Recommended starting point
A customer who's new to AI Track 0 L100Track 1 L100. 2 hours total.
A customer evaluating Copilot for production Track 1 L200 + Track 3 L200.
A customer building agents Track 2 L100 → L200. Pair with Track 5 L100 for the "why does my agent forget?" conversation.
A customer at "we use Copilot, now what?" stage Track 6 — Topic 4 (ROI) + Topic 2 (Workflow Design).
An internal team or community pod adaptations/for-internal-teams.md.
Partner train-the-trainer adaptations/for-partner-enablement.md.
A workshop / executive briefing for one customer adaptations/for-customer-workshops.md.

I'm an individual learner — where do I start?

You're brand new to AI in your work: Track 0 L100Track 1 L100Track 3 L100. ~3 hours of self-paced Microsoft Learn modules. Free.

You use Copilot daily but want to go deeper: Track 3 L200 + Track 5 L100. This is the highest ROI per learning hour for working professionals.

You're an engineer building AI features: Track 2 L300 + Track 5 L300. Production-grade agent and context-management depth.

You lead a team and need to drive adoption: Track 6 — all four topics, L100 first. Decision intelligence, workflow design, change management, ROI.


I have one hour. What's the most valuable single session?

Track 6 — Topic 2: Human–AI Collaboration Workflow Design (L100). Link

It's the session that most consistently moves audiences from "AI is a tool I have to learn" to "AI is a teammate I have to design around." That mental shift unlocks everything else.


I'm not sure what level I'm at

Quick self-test:

If you can… You're at
…open Copilot Chat and ask it to draft an email L100
…write a multi-step prompt with examples and structured output L200
…design a RAG pipeline with vector indexing and human approval gates L300

Don't overthink it. Start at L100, finish in 30 minutes if it's too easy, jump to L200.


Common starting mistakes

  1. Skipping Track 0. "We'll do Responsible AI later" is how you end up with the incident that becomes your case study. Start there.
  2. Starting at L300 because the audience is "technical." Technical audiences still appreciate the L100/L200 framing for shared vocabulary; just move through them faster.
  3. Trying to run all six tracks in one event. Don't. Pick two. Run them well. Add more next quarter.
  4. No real scenarios. Generic examples kill engagement. Bring one real workflow from the audience's own work — even if it takes a 15-minute prep call to surface.

Next step

Once you've picked a track and level, open the track file and skim the "Hands-on focus" column. That tells you what the live session needs to cover. Then read FACILITATOR-GUIDE.md for session format and timing.