Build AI competence in leadership through the challenge decisions receive
AI for Business Institute · D5
Talent & Skills
Domain 5 of the AI for Business Institute practitioner standard. Build AI competence in leadership through the challenge decisions receive; design literacy programmes that change behaviour rather than record attendance; develop role-based capability against a framework and evidence it in real work; diagnose and retain scarce AI talent; and manage the workforce dimension of AI-driven role change before deployment rather than after.
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Time3.4 hours
Structure5 modules · 20 lessons
What you get
$250, and exactly what that buys.
- 5 modules, 20 lessons
One module per framework criterion, about 3.4 hours of material.
- Applied practice, not just reading
Applied scenarios, Branching decisions, Card sorting and more.
- Work at your own pace
Progress is saved as you go, so you can stop and resume on any device.
- Access that does not expire
Once bought, the course stays in your account. There is no renewal to keep it.
- Counts toward the full programme
Complete all nine domains and the Institute issues your programme completion certificate.
This does not include the accreditation exam. This course builds and evidences capability. Accreditation is a separate assessment, available with the full programme for $2,000, and the credential is awarded only if you pass it.
Why this course
Know what good looks like. Practise the decisions that make it real.
Domain 5 of the AI for Business Institute practitioner standard. Build AI competence in leadership through the challenge decisions receive; design literacy programmes that change behaviour rather than record attendance; develop role-based capability against a framework and evidence it in real work; diagnose and retain scarce AI talent; and manage the workforce dimension of AI-driven role change before deployment rather than after.
Capabilities
What you'll be able to do
design literacy programmes that change behaviour rather than record attendance
develop role-based capability against a framework and evidence it in real work
diagnose and retain scarce AI talent
and manage the workforce dimension of AI-driven role change before deployment rather than after.
How you will learn
Learn. Practice. Prove.
Learn
Short, evidence-led lessons establish the standard and the reasoning behind it.
Practice
Interactive decisions, sorting and scenarios turn concepts into applied judgement.
Prove
A cumulative final exam checks mastery, followed by a spoken capstone.
Inside this courseApplied scenariosBranching decisionsCard sortingMatching exercisesPriority rankingConfidence checks
Curriculum
A concise view of the complete course.
AI expertise in leadership
What evidences AI competence in a leadership team, why board discussion of AI is a genuine signal, and why leaders excluding themselves from a skills assessment removes it from the group whose judgement matters most.
Organisation-wide AI literacy
Why high completion of an AI literacy module can leave behaviour unchanged, what a literacy programme needs to support a governance framework, and how to measure whether literacy training actually worked.
Role-based capability development
What distinguishes role-based capability development from general literacy, why a competency framework must be evidenced by applied skill change rather than completion, and how development priorities are derived from the roadmap.
Attraction, retention and specialist governance capability
Why a pattern of departures must be diagnosed before it is addressed, what actually retains AI specialists beyond pay, and how to build a talent strategy that competes where the organisation can win.
Workforce impact and role redesign
How to manage the workforce dimension of an AI deployment that changes many roles, why role impact must be assessed before deployment rather than after, and how consultation and reskilling pathways determine whether the change is handled well.
Ready when you are