I-CERT Six Sigma Green Belt Level 2 Certification
Gain Deeper Insight into Lean Six Sigma Methodologies
Course Overview
I-CERT Six Sigma Green Belt Level 2 Certification is an advanced progression qualification designed for Learners who have already developed a foundational understanding of Lean Six Sigma and are ready to strengthen their technical, analytical, and problem-solving capabilities. This certification builds upon standard Green Belt knowledge and focuses on developing higher-level competence in process improvement and data-driven decision-making.
The course explores more advanced Lean Six Sigma tools and techniques, including enhanced DMAIC application, statistical analysis, root cause identification, process capability studies, regression concepts, and structured improvement methodologies. Learners will develop the ability to handle more complex projects, interpret data with greater accuracy, and support or lead improvement initiatives within their organisations.
This qualification is suitable for professionals working in quality management, operations, engineering, manufacturing, healthcare, IT, logistics, finance, and other service-based industries who already hold Green Belt knowledge or equivalent experience. It is also ideal for individuals aiming to progress toward Black Belt certification.
By completing the I-CERT Six Sigma Green Belt Level 2 Certification, Learners will enhance their analytical thinking, strengthen their process improvement skills, and gain the confidence to contribute more effectively to organisational excellence and continuous improvement initiatives.
Study Units
The Six Sigma Green Belt Level 2 Certification spans 80–100 hours with 100 MCQs, providing learners advanced skills in process improvement, Lean Six Sigma tools, and project leadership.
Learning Objectives
Upon completing the Six Sigma Green Belt Level 2 Certification, learners will gain advanced skills in process improvement, statistical analysis, and Lean Six Sigma project management. Key learning outcomes aligned with the 24 study units include:
1. Introduction to Six Sigma
- Understand Six Sigma principles and objectives
- Recognize the role of Six Sigma in organizational improvement
- Identify benefits and applications of Six Sigma
2. Six Sigma History and Practical Applications
- Explore the evolution of Six Sigma methodologies
- Understand real-world applications across industries
- Apply best practices to practical scenarios
3. Process Improvement and Quality Methodologies
- Apply structured process improvement techniques
- Integrate quality management frameworks
- Identify inefficiencies and improvement opportunities
4. Lean Principles and Concepts
- Understand Lean philosophy and waste elimination
- Apply Lean tools to enhance process efficiency
- Promote continuous improvement in workflows
5. Core Six Sigma Concepts
- Learn key Six Sigma terminology and metrics
- Understand process variation and capability
- Apply data-driven decision-making
6. Structured Problem-Solving Approaches
- Use systematic approaches to identify and solve problems
- Prioritize root causes for improvement
- Develop actionable improvement plans
7. Understanding Business Processes
- Map and analyze business processes
- Identify value-added and non-value-added activities
- Improve process efficiency and alignment with goals
8. Quality Fundamentals
- Implement quality measurement tools
- Monitor process performance
- Support continuous improvement initiatives
9. Project Selection and Prioritization
- Select high-impact Six Sigma projects
- Evaluate potential benefits and risks
- Prioritize initiatives based on strategic objectives
10. Six Sigma Team Roles and Collaboration
- Understand roles and responsibilities within Six Sigma teams
- Facilitate cross-functional collaboration
- Lead team initiatives effectively
11. Introduction to DMAIC and DMADV
- Learn structured problem-solving frameworks
- Apply DMAIC and DMADV in projects
- Enhance analytical and improvement capabilities
12. Define Phase
- Define project scope and objectives
- Identify key stakeholders
- Develop project charters
13. Measure Phase
- Collect and validate process data
- Measure performance metrics accurately
- Identify variation sources
14. Analyze Phase
- Conduct root cause analysis
- Use statistical tools to identify process issues
- Prioritize improvement actions
15. Improve Phase
- Develop and implement solutions
- Optimize processes using Lean Six Sigma tools
- Test and validate improvements
16. Control Phase
- Establish process control mechanisms
- Maintain improvements over time
- Monitor performance using control charts
17. Intermediate Graphical Data Analysis
- Visualize data trends and patterns
- Support informed decision-making
- Communicate analytical insights effectively
18. Normal Probability Distributions
- Apply normal distribution concepts to process data
- Identify deviations and trends
- Make data-driven decisions
19. Correlation and Regression Analysis
- Analyze relationships between variables
- Apply regression for predictive insights
- Use correlation to guide process improvements
20. Non-Normal Probability Distributions
- Handle processes with non-normal data
- Apply appropriate statistical methods
- Identify potential risks and patterns
21. Hypothesis Testing Fundamentals
- Formulate hypotheses for process improvement
- Conduct tests to validate assumptions
- Interpret results for actionable insights
22. Sample Size and Data Reliability
- Determine proper sample sizes for analysis
- Ensure data accuracy and reliability
- Support confident decision-making
23. Advanced Control Charts
- Monitor processes using control charts
- Detect variations and trends
- Maintain process stability and performance
24. Applying Statistics to Business Through Six Sigma
- Apply statistical methods to solve business problems
- Evaluate process performance using data
- Implement evidence-based improvement strategies
Ideal Learner
The I-CERT Six Sigma Green Belt Level 2 Certification is designed for Learners who already understand the basics of Lean Six Sigma and want to strengthen their ability to handle more complex improvement work.
This course is ideal for:
• Professionals who have completed a Green Belt or equivalent foundational training.
• Quality assurance and quality control staff working on process improvement activities.
• Engineers, analysts, and technical staff dealing with operational data and performance issues.
• Supervisors and team leaders involved in managing workflows and improvement tasks.
• Operations, manufacturing, healthcare, IT, logistics, and finance professionals contributing to efficiency projects.
• Individuals preparing to progress toward Six Sigma Black Belt Certification.
• Employees already participating in continuous improvement or Lean initiatives.
• Professionals aiming to improve their analytical and problem-solving capabilities at work.
This certification is suitable for Learners who want to move beyond basic Green Belt knowledge and take on more challenging, data-driven improvement responsibilities.
Course Details
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Course Eligibility
Learners should meet the following entry requirements:
Course Fee
50k PKR / 150 GBP / 210 USD