Assign clear ownership for each element of AI centres of excellence across the functions involved.
Establishing Artificial Intelligence Centres of Excellence
Learn to design, measure and defend your organisation's approach to AI centres of excellence.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The constraint on AI centres of excellence is rarely the model or the platform — it is the data and the operating discipline behind it. The distance between a working prototype of centres of excellence and a system the business can depend on is where most budgets disappear. Ambition around this aspect of digital and data-driven work outruns capacity unless the sequencing is deliberate. It is designed for mixed groups, so that AI centres of excellence is examined from more than one functional angle. The outcome is a practitioner who can hold a position on the practice within digital and data-driven work and revise it on evidence. Participants leave with a method for centres of excellence, not a set of opinions about it. The programme uses small-group work so that each participant's treatment of AI centres of excellence is examined, not just described. Applied research in digital and data-driven work consistently shows that early structure around centres of excellence reduces downstream rework. The final session converts the week's work on this area of digital and data-driven work into commitments with owners and dates.
Expected Learning Outcomes
Evaluate the bias, fairness and explainability obligations attaching to centres of excellence.
Prepare the human side of AI centres of excellence: who is retrained, who is redeployed, and when they are told.
Plan the migration path for centres of excellence without an extended outage or a parallel-running trap.
Design the integration points between AI centres of excellence and the systems already in production.
Establish escalation routes for centres of excellence that work outside normal hours.
Structure records of AI centres of excellence so that they answer the questions an auditor will actually ask.
Who Should Attend
Information security officers reviewing the exposure created by AI centres of excellence.
Managers with direct responsibility for centres of excellence within the transformation programme.
Members of committees that take decisions affecting AI centres of excellence.
Product owners prioritising the roadmap for centres of excellence.
Public sector digital leads applying AI centres of excellence under procurement and privacy rules.
Operations managers whose processes are changed by centres of excellence.
Course Modules
AI centres of excellence: from pilot to production
2 sessions · 8 pointsSession 1Making AI centres of excellence secure without making it unusable
- Specify the fallback path when AI centres of excellence is unavailable.
- Compare the cost of centres of excellence with the cost of its absence.
- Build the user briefing that explains what AI centres of excellence does and does not decide.
- Identify single points of dependency in centres of excellence and reduce them.
Session 2Reading the current state of centres of excellence honestly
- Set the metrics that will show whether AI centres of excellence is drifting from its intended behaviour.
- Record the reasoning behind each architectural choice in centres of excellence.
- Prepare the response for the most likely failure in AI centres of excellence.
- Define the service level centres of excellence must meet and what happens when it is missed.
Centres of excellence: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1Explaining centres of excellence to people whose jobs it changes
- Estimate compute and licensing cost for AI centres of excellence at expected and at peak load.
- Confirm the retention and deletion rules applied to data inside centres of excellence.
- Rehearse the briefing on AI centres of excellence that would follow an incident.
- Decide which legacy process centres of excellence retires, and set the date.
Session 2Sizing centres of excellence honestly before committing budget
- Confirm that those complying with AI centres of excellence understand why it exists.
- Establish who is informed, consulted and accountable in centres of excellence.
- Assess the regulatory obligations AI centres of excellence triggers in each jurisdiction.
- Collect evidence on the present handling of centres of excellence before proposing changes.
Centres of excellence: security, privacy and regulatory obligation
2 sessions · 8 pointsSession 1Where centres of excellence touches systems nobody wants to change
- Classify the data in AI centres of excellence and apply access controls that match the classification.
- Plan how centres of excellence is versioned and how a bad release is rolled back.
- Prepare the summary of AI centres of excellence that senior management will read.
- Measure the current quality of the data feeding centres of excellence before assuming it is usable.
Session 2What to measure in AI centres of excellence and what to ignore
- Record the rationale for each significant choice made about AI centres of excellence.
- Establish what evidence demonstrates centres of excellence is under control.
- Design the pilot for AI centres of excellence so that a negative result is still useful.
- List the data sources centres of excellence consumes and confirm each has a named owner.
Centres of excellence: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1The governance centres of excellence needs and the governance it does not
- Set the review interval for AI centres of excellence and who attends.
- Agree who is on call for centres of excellence outside working hours.
- Set out the decisions in AI centres of excellence that require sign-off and by whom.
- Build the competence framework that supports centres of excellence.
Session 2Reviewing centres of excellence when nothing has gone wrong
- Plan the sequence in which improvements to AI centres of excellence will be introduced.
- Check that centres of excellence still works when volumes rise unexpectedly.
- Set out how exceptions to AI centres of excellence are requested and approved.
- Test centres of excellence against edge cases drawn from real historical records.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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