Your program with VLE.

A twelve-week cohort. Forty trainees. One certification at the end. ArthurAI^™ Vocational Learning Edition is built so the instructor is the certifying authority on competency at every step.

1. Intake

   The cohort enters at different starting points.

   Vocational programs almost never get a homogeneous cohort. ArthurAI™ runs the LCP diagnostic and surfaces each trainee's starting point against the program's competency framework — not against an arbitrary baseline. You see who's coming in cold, who's coming in with prior credentials, who's coming in with adjacent experience. You group accordingly.

2. Weeks 1–2

   Foundations. The AI generates content at the cohort's level.

   Lesson content respects each trainee's LCP. Visual learners get more diagrams (sanitized through the Mermaid validator before display); verbal learners get more written exposition; sequential learners get more step-by-step scaffolding. You run the live demonstrations; the AI handles the explanatory work in between sessions.

3. Weeks 3–6

   Practice. Tutoring is in-context, in-language.

   Trainees work through practice items with the AI tutor available for in-context help. The tutor speaks the trainee's language — your Punjabi-first apprentices and your Swahili-first apprentices both get answers in the language they think in. Tutoring is disabled during practice questions so the AI can't write the answer for the trainee.

4. Weeks 7–8

   Mid-program competency check. AI suggests, instructor certifies.

   The mid-program check shows where each trainee is against the framework's competencies. The AI suggests a competency-by-competency status for each trainee, with citations to the work artifacts. You read each one. You attest competency or you don't. The certification body sees the audit trail; it sees instructor attestations, not AI inferences.

5. Weeks 9–11

   Safety-critical content has its own disclosure.

   When the program covers safety-critical material — OSHA-regulated procedures, electrical-safety, machine-tool operation — the AI assistance is disclosed at enrollment and at each safety-critical module. AI assistance is decision support; the instructor is the certifying authority on safety-critical competency. There is no shortcut here, by design.

6. Week 12

   Final certification. The instructor signs.

   Final competency attestation rolls up to a certificate. Branded for the training authority deploying the program. Linked to a verifiable audit trail. Submitted to the certification body — Pakistan Engineering Council, NAVTTC, the regional vocational authority, the licensing board — with documented AI-use posture and instructor attestation events as evidence.

7. Cohort N+1

   The next cohort starts smarter.

   The platform learns nothing from individual trainees — customer data is never used for training. But your cohort-level patterns inform your own iteration: which lesson scopes generated the most tutor questions, which competencies the cohort took longest on, which AI-suggested rubrics you overrode most often. You run the next cohort with that signal in hand.