Design the architecture of time series forecasting models around its failure modes, not only its happy path.
Building Statistical Forecasting Models for Time Series Data
Build a working method for time series forecasting models that stands up to scrutiny and survives daily pressure.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Availability targets for time series forecasting models are commercial commitments, whatever the engineering team calls them. Most outages involving forecasting models are triggered by a change somebody considered routine. It is pitched for practitioners with responsibility for this part of technology and systems delivery, not for observers of it. It treats time series forecasting models as an operating discipline and equips participants to run it as one. They gain the ability to sequence improvements to this area of technology and systems delivery in an order their organisation can absorb. Discussion is anchored to worked examples of forecasting models rather than to abstract argument. Plans for time series forecasting models often fail at the handover point between functions. Field experience suggests that the barrier to better forecasting models is rarely technical. The closing exercise tests whether the participant's plan for the technology and systems delivery discipline survives a hostile question.
Expected Learning Outcomes
Build a register of the risks attaching to forecasting models and keep it current.
Apply a repeatable review cycle to time series forecasting models and act on what it produces.
Assign clear ownership for each element of forecasting models across the functions involved.
Define the availability, performance and recovery targets for time series forecasting models.
Establish monitoring and alerting on forecasting models that reflects user experience.
Build incident response for time series forecasting models with defined severity and escalation.
Who Should Attend
IT managers and service owners responsible for time series forecasting models.
Project managers delivering changes to forecasting models.
Managers of multi-site operations seeking consistency in time series forecasting models.
Information security specialists protecting forecasting models.
Network and communications engineers supporting time series forecasting models.
Quality staff verifying that forecasting models performs as designed.
Course Modules
Time series forecasting models: incident response and severity
2 sessions · 8 pointsSession 1Making time series forecasting models work when resources are constrained
- Test the procedure for time series forecasting models against a realistic scenario.
- Draft the minimum viable technical standard for forecasting models.
- Test the failover for time series forecasting models rather than assuming it works.
- Review access rights on forecasting models and remove what is no longer needed.
Session 2Retiring the legacy part of forecasting models
- Identify where judgement in time series forecasting models is legitimate and where it is not.
- Set out how exceptions to forecasting models are requested and approved.
- Set delivery and reliability indicators for time series forecasting models the team trusts.
- State the availability and recovery objectives for forecasting models as numbers.
Forecasting models: build, pipeline and release discipline
2 sessions · 8 pointsSession 1Monitoring forecasting models from the user's point of view
- Check that time series forecasting models still works when volumes rise unexpectedly.
- Write down the assumptions underpinning the approach to forecasting models.
- Agree the indicators that will show whether time series forecasting models is improving.
- Confirm that reporting on forecasting models reaches the people who can act.
Session 2Least privilege in forecasting models without blocking the work
- Identify the single points of failure in time series forecasting models.
- Run a load test on forecasting models at expected peak plus a margin.
- Set out the decisions in time series forecasting models that require sign-off and by whom.
- Distinguish symptoms from causes when forecasting models underperforms.
Forecasting models: backup, recovery and continuity
2 sessions · 8 pointsSession 1What to measure in forecasting models and what to ignore
- Define incident severity levels for time series forecasting models and the response each triggers.
- Restore a backup of forecasting models in a test environment and time it.
- Assess the exit route from any cloud or vendor dependency in time series forecasting models.
- Close out actions on forecasting models rather than leaving them open indefinitely.
Session 2The change to time series forecasting models that caused the last outage
- Assign responsibility for keeping documentation of time series forecasting models current.
- Inventory third-party dependencies inside forecasting models and their update status.
- Verify six months later that changes to time series forecasting models have held.
- Measure current load on forecasting models and project it forward twelve months.
Forecasting models: documentation, support and handover
2 sessions · 8 pointsSession 1Escalation and decision rights in forecasting models
- Confirm data retention and deletion rules applied within time series forecasting models.
- Confirm the support model and escalation path for forecasting models.
- Arrange the handover of time series forecasting models so capability survives staff changes.
- Record the technical debt in forecasting models and schedule repayment.
Session 2Designing forecasting models around how it will fail
- Apply change control to time series forecasting models including emergency changes.
- Document the runbook for forecasting models to the level a new engineer could use.
- Identify single points of dependency in time series forecasting models and reduce them.
- Collect evidence on the present handling of forecasting models before proposing changes.
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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