Objectives
- Explain the core principles, terminology and governing standards of Computer Vision
- Apply proven methods and tools for Computer Vision to real workplace situations
- Analyse performance data to find risks, gaps and improvement opportunities
- Compare your practice with international benchmarks and regional case studies
- Build a practical action plan to apply Computer Vision in your organisation
Who should attend
Professionals and leaders preparing their teams for AI, automation and new ways of working.
Course outline — 5 days
- Day 1Principles, terminology and governing standardsComputer Vision
- Day 2Methods, tools and calculationsComputer Vision
- Day 3Operation, inspection and performanceComputer Vision
- Day 4Risk, troubleshooting and case studiesComputer Vision
- Day 5Best practice, assessment and action planComputer Vision
10-day outline
- Day 1Principles, terminology and governing standardsComputer Vision
- Day 2Methods, tools and calculationsComputer Vision
- Day 3Operation, inspection and performanceComputer Vision
- Day 4Risk, troubleshooting and case studiesComputer Vision
- Day 5Best practice review and mid-course assessmentComputer Vision
- Day 6Advanced analysis techniquesComputer Vision
- Day 7Digital tools, data and softwareComputer Vision
- Day 8Practical labs and simulationsComputer Vision
- Day 9Regional benchmarks and lessons learnedComputer Vision
- Day 10Capstone project and final assessmentComputer Vision
Upcoming sessions 2027–2030
| City | Dates | Duration |
|---|---|---|
| Vienna | 22 Feb 2027 – 26 Feb 2027 | 5 days |
| Marrakech | 13 Mar 2028 – 17 Mar 2028 | 5 days |
| Dubai | 20 Jan 2030 – 31 Jan 2030 | 10 days |
No public session is listed yet. We can run this course in any city on your dates, online, or at your company.