Document AI marketing personalisation to the level a new engineer could operate it.
Designing Strategies to Personalise Marketing Content with Artificial Intelligence
Develop the judgement and the documentation needed to run AI marketing personalisation properly.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Security and delivery speed are traded against each other in AI marketing personalisation whether or not anyone says so. Most outages involving this area of technology and systems delivery are triggered by a change somebody considered routine. Discussion is anchored to worked examples of the wider technology and systems delivery agenda rather than to abstract argument. The result is the confidence to make and defend decisions about AI marketing personalisation under scrutiny. The programme takes participants through the practice within technology and systems delivery end to end, from framing the problem to closing it out. Participants who influence this part of technology and systems delivery without directly controlling it will find the content directly usable. Applied research in technology and systems delivery consistently shows that early structure around AI marketing personalisation reduces downstream rework. Plans for this aspect of technology and systems delivery often fail at the handover point between functions. The programme closes with an action plan for the wider technology and systems delivery agenda that each participant writes for their own organisation.
Expected Learning Outcomes
Translate policy on AI marketing personalisation into procedures that hold up under day-to-day pressure.
Communicate the purpose of AI marketing personalisation to those who have to comply with it.
Design a training and briefing approach that sustains competence in AI marketing personalisation.
Manage change to AI marketing personalisation so every release can be rolled back.
Control technical debt in AI marketing personalisation deliberately rather than by neglect.
Build incident response for AI marketing personalisation with defined severity and escalation.
Who Should Attend
Department heads accountable for the results of AI marketing personalisation.
Software engineers and technical leads building AI marketing personalisation.
Analysts producing the data on which decisions about AI marketing personalisation rest.
Project managers delivering changes to AI marketing personalisation.
IT managers and service owners responsible for AI marketing personalisation.
Quality and test engineers verifying AI marketing personalisation.
Course Modules
AI marketing personalisation: change control and rollback
2 sessions · 8 pointsSession 1Designing AI marketing personalisation around how it will fail
- Map the handovers in AI marketing personalisation between functions and secure them.
- Run a load test on AI marketing personalisation at expected peak plus a margin.
- Distinguish symptoms from causes when AI marketing personalisation underperforms.
- State the availability and recovery objectives for AI marketing personalisation as numbers.
Session 2Reading the current state of AI marketing personalisation honestly
- Set delivery and reliability indicators for AI marketing personalisation the team trusts.
- Define acceptance criteria for AI marketing personalisation in advance.
- Identify single points of dependency in AI marketing personalisation and reduce them.
- Write down the assumptions underpinning the approach to AI marketing personalisation.
AI marketing personalisation: backup, recovery and continuity
2 sessions · 8 pointsSession 1The hard cases in AI marketing personalisation and how to reason about them
- Compare the cost of AI marketing personalisation with the cost of its absence.
- Inventory third-party dependencies inside AI marketing personalisation and their update status.
- Confirm that contractual obligations around AI marketing personalisation are understood.
- Confirm data retention and deletion rules applied within AI marketing personalisation.
Session 2Least privilege in AI marketing personalisation without blocking the work
- Identify the single points of failure in AI marketing personalisation.
- Define the trigger that would require AI marketing personalisation to be redesigned.
- Review logging on AI marketing personalisation for coverage and retention.
- Assess the exit route from any cloud or vendor dependency in AI marketing personalisation.
AI marketing personalisation: documentation, support and handover
2 sessions · 8 pointsSession 1Dependencies and supply chain risk in AI marketing personalisation
- Agree the smallest change to AI marketing personalisation that would be visibly useful.
- Prepare the response for the most likely failure in AI marketing personalisation.
- Review access rights on AI marketing personalisation and remove what is no longer needed.
- Check that records of AI marketing personalisation answer the questions likely to be asked.
Session 2Proving the backup of AI marketing personalisation by restoring it
- Confirm that reporting on AI marketing personalisation reaches the people who can act.
- Remove steps in AI marketing personalisation that add effort without adding assurance.
- Define incident severity levels for AI marketing personalisation and the response each triggers.
- Measure current load on AI marketing personalisation and project it forward twelve months.
AI marketing personalisation: monitoring, alerting and observability
2 sessions · 8 pointsSession 1What to measure in AI marketing personalisation and what to ignore
- Arrange the handover of AI marketing personalisation so capability survives staff changes.
- Confirm the support model and escalation path for AI marketing personalisation.
- Apply change control to AI marketing personalisation including emergency changes.
- Assign responsibility for keeping documentation of AI marketing personalisation current.
Session 2Sizing capacity for AI marketing personalisation on measured growth
- Confirm every release of AI marketing personalisation can be rolled back within a defined time.
- Test the procedure for AI marketing personalisation against a realistic scenario.
- Configure alerting on AI marketing personalisation that reflects what users experience.
- Record the technical debt in AI marketing personalisation and schedule repayment.
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
Complete your registration
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