Six Sigma Green Belt Certification
Course overview
This comprehensive programme develops delegates into competent Green Belts able to lead process improvement projects using the DMAIC framework. Participants work through define, measure, analyse, improve, and control phases with hands-on statistical tools and a live workplace project. The course balances theory with application so that delegates return able to deliver measurable financial and quality benefits.
What you will gain
- Define improvement projects with clear scope and metrics
- Measure baseline performance using reliable data
- Analyse data to confirm the drivers of variation
- Design and pilot improvements that hold
- Establish controls that sustain the gains
- Present project results to sponsors and stakeholders
Who should attend
- Process improvement team leaders
- Quality and operations professionals
- Engineers driving efficiency projects
- Managers sponsoring improvement work
Upcoming sessions
| Date | City | Duration | Fees | |
|---|---|---|---|---|
| 9 to 20 Nov 2026 | Durban | 10 Days | R32,000 | Book |
| 8 to 19 Mar 2027 | Johannesburg | 10 Days | R32,000 | Book |
| 12 to 23 Jul 2027 | Cape Town | 10 Days | R32,000 | Book |
Fees are per delegate and exclude VAT. Dates run in the second week of each month. We also deliver this course on your own schedule, in-house or live online.
More in Quality & Auditing
ISO 9001:2015 Quality Management Systems Lead Auditor
This course prepares delegates to plan, conduct, and report full quality management system audits against the ISO 9001:2015 standard. Participants work through the audit lifecycle from programme planning to closing meetings and corrective action follow-up, using structured practical exercises. The programme also covers auditor competence, evidence gathering, and the discipline of writing defensible nonconformity reports.
Root Cause Analysis and Corrective Action Techniques
Delegates learn to move beyond quick fixes and identify the true origins of recurring quality problems. The course covers structured investigation tools including the five whys, fishbone diagrams, fault tree analysis, and barrier analysis, applied to real defect and failure scenarios. Participants also practise writing corrective actions that address systemic causes rather than symptoms.
Statistical Process Control for Manufacturing
This programme teaches practitioners how to monitor and control processes using statistical methods that reveal variation before it becomes defective product. Delegates build and interpret control charts for variables and attributes, calculate process capability indices, and distinguish common cause from special cause variation. The course uses shop floor data sets so that techniques transfer directly to the workplace.