Intensive 24-hour training program
AI-enabled process improvement & intelligent analytics
Real-world problem-solving skills via simulations & case studies
Hands-on DMAIC projects, Define Through Control
Practical experience with statistical & analytical tools
What you will learn:
Upcoming sessions
Lean Six Sigma history and benefits
Roles and responsibilities
DMAIC overview
Importance of process improvement
Linking Lean and Six Sigma concepts
Service delivery improvement example
Voice of Customer (VOC)
Project charter development
Critical to Quality characteristics
Defining problem statements
Aligning project objectives with business goals
Customer complaint cycle definition
SIPOC mapping
Pareto analysis
Cause-effect diagrams
Measurement planning
Process visualization techniques
Quality problem root cause identification
Data types and collection planning
Measurement System Analysis
Process capability fundamentals
Data validation
Performance baseline creation
Measurement accuracy evaluation
Variation patterns
Hypothesis testing
Regression basics
Root cause validation techniques
Data interpretation
Process driver validation
Improve phase overview
Designed experiments basics
Regression insights
Solution prioritization
Implementation planning
Cost reduction scenario
Statistical Process Control
Lean controls including 5S, Poka-Yoke, and Kanban
Control planning
Monitoring performance
Standardization
Cycle-time monitoring improvement
Tool revision and integration
Exam strategies
Practice questions
Performance tracking
Final readiness evaluation
The simulation culminates in a structured executive presentation demonstrating measurable impact and sustainability, supported by Copilot-generated reports, dashboards, and executive summaries.
The Automation Sandbox enables participants to apply the knowledge gained during the training to their own professional responsibilities and everyday work processes.
This activity encourages participants to examine their existing workflows and identify opportunities to improve efficiency, streamline tasks, and enhance operational outcomes.
Through guided exercises, participants review and analyze their workflows, identify improvement opportunities, and edesign processes using structured approaches.
They translate their process expertise into clear workflow structures with defined steps, decision points, and expected outcomes.
These structured workflows are designed to be easily understood by technical teams, enabling effective automation implementation while bridging the gap between operational process knowledge and technical automation development.
Once the course is completed, you will be able to:
1
Lead structured process improvement projects aligned with measurable business objectives
2
Diagnose inefficiencies, defects, waste, and variation using data-driven problem-solving methods
3
Create evidence-based recommendations that improve quality, productivity, efficiency, and resource utilisation
4
Apply validated root-cause findings to prioritise practical and sustainable improvement solutions
5
Establish monitoring systems that sustain performance gains and support continuous improvement
6
Communicate improvement results through executive presentations, reports, dashboards, and structured documentation
Overall ratings by our students
The Lean Six Sigma Green Belt Certification validates a participant's capability to lead DMAIC-driven improvement projects using Lean and Six Sigma methods. It covers statistical analysis, process mapping, root-cause analysis, and validation techniques used to support structured process improvement.
Participants master the Define, Measure, Analyse, Improve, and Control (DMAIC) phases through hands-on case studies, simulations, and Copilot-assisted exercises. Certification proves job-ready ability to drive data-driven decisions and sustainable improvements in today's global market.
The Lean Six Sigma Green Belt course is suited to professionals involved in process performance, quality, operational efficiency, or continuous improvement across manufacturing, healthcare, finance, services, and other sectors. It fits quality professionals, operations staff, project leads, analysts, engineers, supervisors, and managers.
The course can also benefit professionals involved in continuous improvement, cost control, compliance, or a transition into process excellence roles. No prior Six Sigma experience is mandatory, just willingness to apply practical DMAIC and data-driven methods.
No, prior Lean Six Sigma experience is not mandatory for this Green Belt training. This program starts with fundamentals, so participants build DMAIC knowledge from the ground up. It is suitable for beginners as well as professionals transitioning into process improvement or process excellence roles.
However, basic process awareness helps during this training. Participants from quality, operations, or analytics benefit most, but motivated newcomers succeed through hands-on exercises, case studies, and Copilot integration. This 24-hour training format ensures every participant gains global job-ready capabilities.
This training equips participants to improve real business performance by applying DMAIC to reduce waste, variation, and defects. It builds data-driven decisions that cut costs, boost quality, and link process gains to customer satisfaction.
Through Lean Six Sigma tools, participants lead projects that streamline workflows, optimise resources, and sustain gains via control plans. Copilot accelerates analysis and reporting, turning improvements into measurable operational and financial outcomes that deliver faster cycle times and sustainable competitive advantage.
The Lean Six Sigma Green Belt focuses on leading DMAIC projects within a defined scope, typically part-time along with existing duties. Green Belts apply core tools, support data collection, and drive improvements under Black Belt guidance.
The Lean Six Sigma Black Belt generally takes responsibility for more complex or cross-functional improvement initiatives and typically has deeper expertise in advanced statistical analysis, design of experiments, and project leadership. Black Belts also coach Green Belts, manage complex change management, and report directly to leadership on strategic process excellence outcomes.
The Lean Six Sigma Green Belt certification is assessed through continuous formative evaluation and a final summative assessment, not a single exam. Participants demonstrate their understanding through mock tests, case studies, practical exercises, and activities covering the DMAIC phases.
Trainers provide constant guidance and formative feedback, tracking progress at every stage. A final summative assessment validates overall capability against defined benchmarks, covering the DMAIC framework. Successful participants earn an industry-recognised certification backed by Learners Point credibility. This rigorous method ensures genuine professional readiness.
Participants who complete the Lean Six Sigma Green Belt training unlock diverse career pathways across global industries, utilising DMAIC and data-driven improvement skills for high-impact roles.
These are the roles available after completing this training:
Learners Point delivers the Lean Six Sigma Green Belt with proven expertise, AI integration, and real-world impact, having trained over half a million professionals since 2001.
These are the reasons why Learners Point is chosen for this training:
The essential Data-driven decision-making tools professionals will learn after completing the Lean Six Sigma Green Belt Course are as follows:
The Lean and Six Sigma training go together in the way that Lean is entirely not focused on manufacturing. It merges both approaches and creates a powerful toolkit for addressing waste reduction.
Some of the steps of the Six Sigma Green Belt Exam Preparation are as follows:
Learn now, pay later
Dive into your course now and pay in installments

