Professional Course Structure | Lean Six Sigma | AI & Digital Transformation
About the Six Sigma Green Belt Certification Course
The Six Sigma Green Belt Certification Course is a professional development programme designed to build expertise in process improvement, quality management, data-driven decision-making, and operational excellence.
The course introduces participants to the principles of Lean Management and Six Sigma, with a strong focus on the DMAIC methodology—Define, Measure, Analyse, Improve, and Control. Learners develop the skills to identify root causes of operational problems, eliminate waste, minimise defects, improve process performance, and implement sustainable solutions.
The programme also explores the application of digital transformation, Artificial Intelligence (AI), and Generative AI (GenAI) in modern process improvement. Participants learn how digital tools can support data analysis, process mapping, performance monitoring, visualisation, and evidence-based decision-making.
Through practical exercises, case studies, improvement tools, and a guided project, learners gain the confidence to contribute to organisational transformation and lead structured process improvement initiatives.
The goal is to develop professionals who can convert operational challenges into measurable business results.
By the end of the programme, participants should be able to:
Understand Lean Six Sigma principles and the DMAIC improvement framework.
Identify inefficiencies, process bottlenecks, waste, defects, and variation.
Collect, interpret, and analyse operational data using appropriate tools.
Apply root-cause analysis to solve complex process problems.
Design, test, and implement process improvement solutions.
Use AI-enabled tools responsibly to support diagnostics, analysis, and reporting.
Develop dashboards, control plans, and performance indicators.
Lead cross-functional improvement projects and communicate measurable results.
Course Curriculum
Module 1: Introduction to Lean Six Sigma
Module 2: Define Phase
Module 3: Measure Phase
Module 4: Analyse Phase
Module 5: Improve Phase
Module 6: Control Phase
Module 7: AI, Digital Transformation and Smart Process Excellence
Module 8: Project Leadership, Implementation and Certification Assessment
Analytical and innovative thinking: Learn to approach operational problems systematically.
Improved efficiency and profitability: Help organisations identify waste, reduce rework, and improve resource utilisation.
Leadership and team management: Build skills in project coordination, collaboration, and change management.
Effective problem solving: Learn to distinguish symptoms from validated root causes.
New career opportunities: Strengthen your profile for quality, operations, process improvement, and business excellence roles.
Stronger job applications: Demonstrate structured problem-solving knowledge and practical project experience.
Progression towards managerial roles: Develop capabilities that can support advancement, depending on experience and employer requirements.
Transferable skills: Apply improvement methods across multiple industries and business functions.
Qualification: 10+2 or graduate, as per institute norms.
Eligible Candidates: Students, graduates, and working professionals.
Experience: Not mandatory; preferred for working professionals.
Skills: Basic computer knowledge and numerical aptitude.
Background: Open to all disciplines, including healthcare, IT, engineering, management, and operations.
Quality Assurance Executive: Quality monitoring and defect reduction.
Process Improvement Analyst: Workflow optimisation and root-cause analysis.
Operational Excellence Associate: Efficiency and continuous improvement.
Project Coordinator: Managing improvement projects and performance.
Healthcare Quality Professional: Patient safety and healthcare quality improvement.
Production Executive: Productivity improvement and waste reduction.
Business Process Analyst: Data analysis and process optimization.
Duration: 8 weeks