Present the case for investment in collaborative industrial robotics in terms that a finance function will accept.
Building Collaborative Industrial Robots on Production Lines
Learn to design, measure and defend your organisation's approach to collaborative industrial robotics.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Boards are asking for measurable returns from collaborative industrial robotics, not demonstrations. The distance between a working prototype of this strand of digital and data-driven work and a system the business can depend on is where most budgets disappear. Field experience suggests that the barrier to better the wider digital and data-driven work agenda is rarely technical. Cases are chosen to expose the trade-offs in collaborative industrial robotics rather than to illustrate ideal conditions. The programme converts this strand of digital and data-driven work from an area of general awareness into a set of repeatable practices. Plans for this aspect of digital and data-driven work often fail at the handover point between functions. The programme builds the judgement to know which parts of collaborative industrial robotics to standardise and which to leave flexible. It suits anyone whose decisions touch this area of digital and data-driven work, in large organisations and small ones alike. The final module sets out how progress on the practice within digital and data-driven work will be evidenced six months later.
Expected Learning Outcomes
Specify the data collaborative industrial robotics depends on, where it originates and who is accountable for its quality.
Define success criteria for collaborative industrial robotics in business terms before any technology is selected.
Establish monitoring that detects model or service degradation in collaborative industrial robotics before users report it.
Design a training and briefing approach that sustains competence in collaborative industrial robotics.
Set retention, lineage and deletion rules for the data flowing through collaborative industrial robotics.
Structure records of collaborative industrial robotics so that they answer the questions an auditor will actually ask.
Who Should Attend
Solution architects designing how collaborative industrial robotics fits the existing estate.
Training and development staff building internal capability in collaborative industrial robotics.
Newly appointed managers taking on collaborative industrial robotics for the first time.
Information security officers reviewing the exposure created by collaborative industrial robotics.
Business analysts translating requirements for collaborative industrial robotics.
Vendor and contract managers overseeing suppliers involved in collaborative industrial robotics.
Course Modules
Collaborative industrial robotics: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1Escalation and decision rights in collaborative industrial robotics
- Plan the sequence in which improvements to collaborative industrial robotics will be introduced.
- Record what was learned when collaborative industrial robotics did not go as planned.
- Reduce the variation in how collaborative industrial robotics is carried out between teams.
- Agree the indicators that will show whether collaborative industrial robotics is improving.
Session 2Making collaborative industrial robotics secure without making it unusable
- Verify that collaborative industrial robotics still performs when input volume doubles unexpectedly.
- Record the reasoning behind each architectural choice in collaborative industrial robotics.
- Set the metrics that will show whether collaborative industrial robotics is drifting from its intended behaviour.
- Define the exit route from the supplier supporting collaborative industrial robotics.
Collaborative industrial robotics: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1What breaks first when collaborative industrial robotics meets real volume
- Arrange the handover of collaborative industrial robotics so capability survives staff changes.
- Map the handovers in collaborative industrial robotics between functions and secure them.
- Rehearse the briefing on collaborative industrial robotics that would follow an incident.
- Define the service level collaborative industrial robotics must meet and what happens when it is missed.
Session 2The data question everyone skips at the start of collaborative industrial robotics
- Prepare the response for the most likely failure in collaborative industrial robotics.
- Plan how collaborative industrial robotics is versioned and how a bad release is rolled back.
- Distinguish symptoms from causes when collaborative industrial robotics underperforms.
- Collect evidence on the present handling of collaborative industrial robotics before proposing changes.
Collaborative industrial robotics: governance, ethics and explainability
2 sessions · 8 pointsSession 1Where collaborative industrial robotics typically breaks, and why
- Identify where judgement in collaborative industrial robotics is legitimate and where it is not.
- Check that records of collaborative industrial robotics answer the questions likely to be asked.
- Assign responsibility for keeping documentation of collaborative industrial robotics current.
- Prepare the summary of collaborative industrial robotics that senior management will read.
Session 2Proving collaborative industrial robotics paid for itself
- Identify every system collaborative industrial robotics must read from or write to.
- List the data sources collaborative industrial robotics consumes and confirm each has a named owner.
- Establish the boundary of collaborative industrial robotics and record what sits outside it.
- Establish who is informed, consulted and accountable in collaborative industrial robotics.
Collaborative industrial robotics: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Testing collaborative industrial robotics before relying on it
- Design the pilot for collaborative industrial robotics so that a negative result is still useful.
- Specify the fallback path when collaborative industrial robotics is unavailable.
- Measure the current quality of the data feeding collaborative industrial robotics before assuming it is usable.
- Classify the data in collaborative industrial robotics and apply access controls that match the classification.
Session 2The pilot that actually settles the argument about collaborative industrial robotics
- Build the user briefing that explains what collaborative industrial robotics does and does not decide.
- Test collaborative industrial robotics against edge cases drawn from real historical records.
- Decide which legacy process collaborative industrial robotics retires, and set the date.
- Assess the regulatory obligations collaborative industrial robotics triggers in each jurisdiction.
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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