Estimated commitment: 3 hours · 2 video lessons · 6 applied modules · 7 scenario assessments · capstone
Outcome: Create a support and benefits-realisation system for an AI portfolio.
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: Theory of value → Baselines → Experiments → Adoption → Risk and quality → Portfolio reporting
Applied support: AI impact measurement framework, supported by a course-specific leadership toolkit and a gated, verifiable certificate.