Estimated commitment: 12 hours · 12 video lessons · 6 applied modules · 7 scenario assessments · capstone
Outcome: Build a transport AI portfolio across network planning assets safety and customer service.
This executive learning pathway combines concise lessons with decision fieldwork, applied scenario checks and findings from the learner’s own organisation. Progress is measured through a voice baseline, six module checks, a final assessment, an applied capstone and a post-course reassessment.
Modules: Network optimisation → Demand → Fleet and maintenance → Warehouse → Safety → Control tower and adoption
Applied support: Logistics AI portfolio and controlled pilot, supported by a course-specific leadership toolkit and a gated, verifiable certificate.