AI for Business Institute

AI for Business Institute · D4

Project Management & Collaboration

Domain 4 of the AI for Business Institute practitioner standard. Choose and adapt a delivery method for work whose outcome cannot be specified in advance; build assurance gates that hold when a date is under pressure; establish shared ownership in objectives rather than in meetings; apply the delivery practices specific to AI, from prompt versioning to pilot exit criteria; and govern AI investment alongside everything else the organisation funds.

Not sure where to begin? Take the free 18-question mock test
DomainD4
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 4 of the AI for Business Institute practitioner standard. Choose and adapt a delivery method for work whose outcome cannot be specified in advance; build assurance gates that hold when a date is under pressure; establish shared ownership in objectives rather than in meetings; apply the delivery practices specific to AI, from prompt versioning to pilot exit criteria; and govern AI investment alongside everything else the organisation funds.

Capabilities

What you'll be able to do

Choose and adapt a delivery method for work whose outcome cannot be specified in advance

build assurance gates that hold when a date is under pressure

establish shared ownership in objectives rather than in meetings

apply the delivery practices specific to AI, from prompt versioning to pilot exit criteria

and govern AI investment alongside everything else the organisation funds.

How you will learn

Learn. Practice. Prove.

01

Learn

Short, evidence-led lessons establish the standard and the reasoning behind it.

02

Practice

Interactive decisions, sorting and scenarios turn concepts into applied judgement.

03

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.

01

Delivery methodology

Why every conventional methodology needs adaptation for AI, how to choose between Scrum, Kanban, Lean, PRINCE2, Waterfall and hybrid approaches, and how retrospectives and research timeboxing keep an iterative team honest.

4 lessons
02

Project governance, stage gates and change control

What makes a stage gate a control rather than a checkpoint, how to recognise a governance bypass from the documentation alone, how to design gates that hold under date pressure, and how change control fits within project governance.

4 lessons
03

Cross-functional collaboration and shared ownership

What genuine shared ownership looks like in performance objectives rather than in meeting attendance, how to align technical and business success metrics, and how to recognise collaboration that produces nothing.

4 lessons
04

AI-specific delivery practice

The delivery practices specific to AI: treating prompts and configuration as functional changes under version control, defining pilot exit criteria before a pilot starts, and handling production changes as releases so degradation is attributable and reversible.

4 lessons
05

Integration with enterprise portfolio and IT governance

Why AI projects must sit inside standard portfolio governance rather than beside it, what comparability of investment makes possible, and the small number of AI-specific additions standard governance does not already cover.

4 lessons

Ready when you are

Put this domain to work in your organisation.