Objectives
- Explain the core principles, terminology and governing standards of Machine Learning
- Apply proven methods and tools for Machine Learning 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 Machine Learning 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 standardsMachine Learning
- Day 2Methods, tools and calculationsMachine Learning
- Day 3Operation, inspection and performanceMachine Learning
- Day 4Risk, troubleshooting and case studiesMachine Learning
- Day 5Best practice, assessment and action planMachine Learning
10-day outline
- Day 1Principles, terminology and governing standardsMachine Learning
- Day 2Methods, tools and calculationsMachine Learning
- Day 3Operation, inspection and performanceMachine Learning
- Day 4Risk, troubleshooting and case studiesMachine Learning
- Day 5Best practice review and mid-course assessmentMachine Learning
- Day 6Advanced analysis techniquesMachine Learning
- Day 7Digital tools, data and softwareMachine Learning
- Day 8Practical labs and simulationsMachine Learning
- Day 9Regional benchmarks and lessons learnedMachine Learning
- Day 10Capstone project and final assessmentMachine Learning
Upcoming sessions 2027–2030
No public session is listed yet. We can run this course in any city on your dates, online, or at your company.