Build evidence
Git history, data models, queries, pipelines, code reviews and working increments.
WorkReady connects data, cloud and AI into a business operations problem, then tests the professional work around the solution. Evidence is for learning — not a placement claim.
Associates may work with sales, inventory, customer, supplier, production, order and service datasets. This is a teaching design for WorkReady practice, not a claim about past graduate results.
Git history, data models, queries, pipelines, code reviews and working increments.
Incident notes, investigation trails, root-cause analysis, corrective actions and monitoring.
Decision logs showing what AI suggested, what was accepted, what was rejected and how it was verified.
Written status updates, technical reviews, stakeholder presentations and capstone defence.
A structured view of technical capability, problem solving, ownership, reliability and professional behaviour.