Roles
Support, sales, marketing, HR, finance, engineering, product, and other role academies.
AIducation is built on a reusable skill graph. Roles connect to workflows, workflows train skill atoms, tools support practice, and industries define the real context where AI readiness matters.
The graph keeps the platform from becoming a set of disconnected courses. Every training experience maps back to reusable nodes.
Support, sales, marketing, HR, finance, engineering, product, and other role academies.
The real workplace tasks each role needs to perform with AI safely and effectively.
The smallest trainable AI behaviors that rubrics can grade and credentials can prove.
ChatGPT, Claude, Gemini, Copilot, Cursor, Excel AI, automation tools, and role systems.
Contexts where the same role skills apply, from SaaS and finance to education and public sector.
Each role academy connects workflows, skill atoms, tools, industries, simulations, courses, credentials, and manager reports.
Skill atoms are reusable, but they are not generic. The graph records the role, workflow, tool, and industry context that makes each skill trainable and measurable.
A role academy owns workplace workflows.
A workflow teaches one or more skill atoms.
A role uses a recommended AI tool stack.
A tool is practiced through role-specific workflows.
A role academy maps to industry contexts.
The current graph maps 43 industry contexts across role academies, so training can adapt to SaaS, education, finance, public sector, healthcare administration, legal, operations, and owner-led businesses.
Start with a baseline assessment, map the learner to a role academy, and use the skill graph to explain what they practice next.