Learning paths
A learning path is a curated route through the Academy, assembled for a specific goal and a specific starting point. Tracks organize the content by subject; paths organize it by intent — “here’s what to learn, in order, to accomplish this.”
Paths by goal
Section titled “Paths by goal”Rather than making people assemble their own curriculum, paths sequence the right lessons for common goals — for example:
- Learn the platform — get oriented and productive.
- Automate my work — go from manual process to running workflow.
- Build agents — create and publish AI workers.
- Roll out companywide — take AI from pilot to organization.
- Govern AI — set up the controls and policies.
- Reduce costs — use cost controls and model strategy to spend deliberately.
Paths by role
Section titled “Paths by role”Each goal is shaped by who’s pursuing it. An Executive path emphasizes value and guardrails; an Admin path emphasizes setup and control; an End User path emphasizes getting productive fast. Same platform, different first steps.
Meeting learners at their level
Section titled “Meeting learners at their level”Paths also account for experience, starting a beginner at the foundations and letting an advanced user skip ahead. The goal is that nobody sits through what they already know or gets dropped in past their depth.
A quick example
Section titled “A quick example”A department head picks the “Roll out companywide” path. It sequences the deployment playbook, governance setup, and cost controls into a route that mirrors an actual rollout — so learning the platform and planning the rollout become the same activity.