Digital Twin and Simulation Fundamentals
A digital twin is only useful if it is fed by real data and answers a decision someone has to make. This course covers building representative models, connecting them to live data and using simulation to test changes before committing to them.
Course outline
What this programme covers, module by module.
- 01Digital twins: what they are and what they need to work
- 02Scoping a model around a decision, not around an asset
- 03Data requirements and connecting to live sources
- 04Model building, assumptions and simplification
- 05Validating a model against real behaviour
- 06Simulation, scenario testing and what if analysis
- 07Maintaining a model as the asset and process change
What you will gain
- Explain what a digital twin is and what it requires
- Scope a model around the decisions it must support
- Connect a model to live operational data
- Validate a model against observed behaviour
- Use simulation to test changes before implementation
- Maintain a model as the physical asset changes
Who should attend
- Engineers and technical managers
- Operations and process improvement staff
- Asset and maintenance managers
- Analysts supporting operational modelling
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 2 to 4 Nov 2026 | Durban | 3 Days | R13,000 | |
| 23 to 25 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 1 to 3 Dec 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 16 to 18 Feb 2027 | Dubai | 3 Days | US$1,500 | |
| 26 to 28 Apr 2027 | Pretoria | 3 Days | R13,000 | |
| 5 to 7 Jul 2027 | Durban | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Artificial Intelligence & Emerging Technology
- Formats
- In-house, public, online
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