Identify the failure points in intelligent recommendation systems most likely to cause loss, and control them first.
Building Intelligent Recommendation Systems for Digital Platforms
An applied course in intelligent recommendation systems built around the decisions practitioners actually face.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Availability targets for intelligent recommendation systems are commercial commitments, whatever the engineering team calls them. Systems supporting this part of technology and systems delivery fail in ways that are obvious afterwards and invisible before. Improvement in the wider technology and systems delivery agenda stalls when it depends on one capable individual rather than a defined method. It suits anyone whose decisions touch intelligent recommendation systems, in large organisations and small ones alike. The programme converts the technology and systems delivery discipline from an area of general awareness into a set of repeatable practices. Participants take away a working set of documents supporting this aspect of technology and systems delivery, ready to be adapted internally. Comparative studies of intelligent recommendation systems across sectors find the same handful of failure points recurring. Each session closes with a decision the participant must justify about the technology and systems delivery capability in their own setting. The closing exercise tests whether the participant's plan for this strand of technology and systems delivery survives a hostile question.
Expected Learning Outcomes
Plan capacity for intelligent recommendation systems against measured growth rather than optimism.
Establish monitoring and alerting on intelligent recommendation systems that reflects user experience.
Estimate what intelligent recommendation systems costs to run properly, and what is lost when it is not.
Build the internal capability for intelligent recommendation systems rather than depending on external support indefinitely.
Build the deployment pipeline for intelligent recommendation systems so releases are routine rather than events.
Define the availability, performance and recovery targets for intelligent recommendation systems.
Who Should Attend
Specialists advising senior management on intelligent recommendation systems.
Quality and test engineers verifying intelligent recommendation systems.
Information security specialists protecting intelligent recommendation systems.
Database administrators managing data within intelligent recommendation systems.
Vendor managers overseeing suppliers involved in intelligent recommendation systems.
Managers of multi-site operations seeking consistency in intelligent recommendation systems.
Course Modules
Intelligent recommendation systems: monitoring, alerting and observability
2 sessions · 8 pointsSession 1Monitoring intelligent recommendation systems from the user's point of view
- Inventory third-party dependencies inside intelligent recommendation systems and their update status.
- Confirm that reporting on intelligent recommendation systems reaches the people who can act.
- Apply change control to intelligent recommendation systems including emergency changes.
- Arrange the handover of intelligent recommendation systems so capability survives staff changes.
Session 2Designing intelligent recommendation systems around how it will fail
- Build the internal briefing that explains intelligent recommendation systems to those affected.
- Confirm the support model and escalation path for intelligent recommendation systems.
- Plan the decommissioning of the legacy component intelligent recommendation systems replaces.
- Document the runbook for intelligent recommendation systems to the level a new engineer could use.
Intelligent recommendation systems: incident response and severity
2 sessions · 8 pointsSession 1Testing intelligent recommendation systems before relying on it
- Set delivery and reliability indicators for intelligent recommendation systems the team trusts.
- Agree what will be standardised in intelligent recommendation systems and what will not.
- Review logging on intelligent recommendation systems for coverage and retention.
- Anticipate the objections intelligent recommendation systems will raise and prepare the answers.
Session 2The cost of intelligent recommendation systems and how to present it
- Review access rights on intelligent recommendation systems and remove what is no longer needed.
- Benchmark the organisation's intelligent recommendation systems against comparable operations.
- Configure alerting on intelligent recommendation systems that reflects what users experience.
- Close out actions on intelligent recommendation systems rather than leaving them open indefinitely.
Intelligent recommendation systems: architecture and designing for failure
2 sessions · 8 pointsSession 1Making releases of intelligent recommendation systems routine instead of risky
- Name a single owner for each element of intelligent recommendation systems.
- Set out how exceptions to intelligent recommendation systems are requested and approved.
- Confirm that contractual obligations around intelligent recommendation systems are understood.
- Record what was learned when intelligent recommendation systems did not go as planned.
Session 2Documenting intelligent recommendation systems so someone else can operate it
- Compare the cost of intelligent recommendation systems with the cost of its absence.
- Record the technical debt in intelligent recommendation systems and schedule repayment.
- Assess the exit route from any cloud or vendor dependency in intelligent recommendation systems.
- Measure current load on intelligent recommendation systems and project it forward twelve months.
Intelligent recommendation systems: security, identity and least privilege
2 sessions · 8 pointsSession 1Reviewing intelligent recommendation systems when nothing has gone wrong
- Prepare the summary of intelligent recommendation systems that senior management will read.
- Define incident severity levels for intelligent recommendation systems and the response each triggers.
- Confirm every release of intelligent recommendation systems can be rolled back within a defined time.
- Establish who is informed, consulted and accountable in intelligent recommendation systems.
Session 2The change to intelligent recommendation systems that caused the last outage
- Establish the boundary of intelligent recommendation systems and record what sits outside it.
- State the availability and recovery objectives for intelligent recommendation systems as numbers.
- Write down the assumptions underpinning the approach to intelligent recommendation systems.
- Confirm data retention and deletion rules applied within intelligent recommendation systems.
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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