Communicate the purpose of intelligent edge computing to those who have to comply with it.
Intelligent Edge Computing for Real-Time Data Processing in Factories
An applied course in intelligent edge computing built around the decisions practitioners actually face.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Vendors sell intelligent edge computing as a product; it behaves in practice as a change programme. The constraint on the digital and data-driven work capability is rarely the model or the platform — it is the data and the operating discipline behind it. It concentrates on the parts of this area of digital and data-driven work that determine outcomes and treats the rest proportionately. The outcome is a practitioner who can hold a position on intelligent edge computing and revise it on evidence. Most organisations already have a policy on the digital and data-driven work capability; far fewer can show it working. Organisations that document the practice within digital and data-driven work properly resolve disputes about it far more quickly. Exercises escalate in difficulty, ending with the ambiguous situations that make intelligent edge computing hard in practice. The content is relevant to those who own this part of digital and data-driven work and to those who are held accountable for its results. The programme closes with an action plan for the digital and data-driven work capability that each participant writes for their own organisation.
Expected Learning Outcomes
Assess the current state of intelligent edge computing against a structured set of criteria rather than impressions.
Map the regulatory obligations that apply to intelligent edge computing in each market of operation.
Build the internal skills to operate intelligent edge computing without permanent vendor dependency.
Specify the data intelligent edge computing depends on, where it originates and who is accountable for its quality.
Structure records of intelligent edge computing so that they answer the questions an auditor will actually ask.
Establish version control and rollback for every component of intelligent edge computing that reaches production.
Who Should Attend
Coordinators responsible for keeping records and documentation of intelligent edge computing current.
Operations managers whose processes are changed by intelligent edge computing.
Solution architects designing how intelligent edge computing fits the existing estate.
Risk managers assessing the exposure created by intelligent edge computing.
Chief information officers accountable for the investment in intelligent edge computing.
Risk and compliance staff assessing the controls around intelligent edge computing.
Course Modules
Intelligent edge computing: governance, ethics and explainability
2 sessions · 8 pointsSession 1What breaks first when intelligent edge computing meets real volume
- Test intelligent edge computing against edge cases drawn from real historical records.
- Build the internal briefing that explains intelligent edge computing to those affected.
- Prepare the response for the most likely failure in intelligent edge computing.
- Benchmark the organisation's intelligent edge computing against comparable operations.
Session 2Comparing intelligent edge computing with recognised practice
- Verify that intelligent edge computing still performs when input volume doubles unexpectedly.
- Set the metrics that will show whether intelligent edge computing is drifting from its intended behaviour.
- Define the service level intelligent edge computing must meet and what happens when it is missed.
- Close out actions on intelligent edge computing rather than leaving them open indefinitely.
Intelligent edge computing: people, skills and the change that follows
2 sessions · 8 pointsSession 1Choosing a supplier for intelligent edge computing without being captured
- Identify single points of dependency in intelligent edge computing and reduce them.
- Record the reasoning behind each architectural choice in intelligent edge computing.
- Agree who is on call for intelligent edge computing outside working hours.
- Identify every system intelligent edge computing must read from or write to.
Session 2Sizing intelligent edge computing honestly before committing budget
- Assess the regulatory obligations intelligent edge computing triggers in each jurisdiction.
- Specify the fallback path when intelligent edge computing is unavailable.
- Prepare the summary of intelligent edge computing that senior management will read.
- Estimate compute and licensing cost for intelligent edge computing at expected and at peak load.
Intelligent edge computing: cost, licensing and total running expense
2 sessions · 8 pointsSession 1Keeping intelligent edge computing alive after the initial push
- Confirm that those complying with intelligent edge computing understand why it exists.
- Decide which legacy process intelligent edge computing retires, and set the date.
- Establish who is informed, consulted and accountable in intelligent edge computing.
- Measure the current quality of the data feeding intelligent edge computing before assuming it is usable.
Session 2Getting other functions to support intelligent edge computing
- Set escalation thresholds for intelligent edge computing that work out of hours.
- Distinguish symptoms from causes when intelligent edge computing underperforms.
- Test the procedure for intelligent edge computing against a realistic scenario.
- Plan the sequence in which improvements to intelligent edge computing will be introduced.
Intelligent edge computing: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1Explaining intelligent edge computing to people whose jobs it changes
- Record the rationale for each significant choice made about intelligent edge computing.
- Arrange the handover of intelligent edge computing so capability survives staff changes.
- Define acceptance criteria for intelligent edge computing in advance.
- Estimate the resource intelligent edge computing requires to run as designed.
Session 2The governance intelligent edge computing needs and the governance it does not
- Confirm the retention and deletion rules applied to data inside intelligent edge computing.
- Classify the data in intelligent edge computing and apply access controls that match the classification.
- Define the exit route from the supplier supporting intelligent edge computing.
- Identify the skills the team lacks to operate intelligent edge computing independently.
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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