I-CERT Lean Six Sigma Green Belt Level 2 Certification

The I-CERT Lean Six Sigma Green Belt Level 2 Certification is a professionally structured program developed for individuals aiming to strengthen their capabilities in process improvement, quality enhancement, and operational efficiency. In today’s data-driven business environment, organizations require professionals who can identify inefficiencies, apply structured problem-solving techniques, and contribute to measurable performance outcomes. This certification bridges theoretical understanding with practical application, enabling learners to play an active role in continuous improvement initiatives across diverse industries.

Learners enrolled in this program will gain in-depth exposure to Lean Six Sigma tools, DMAIC methodology, process mapping, root cause analysis, and statistical decision-making techniques. The course emphasizes real-world application through case studies and scenario-based learning, allowing participants to evaluate operational challenges, reduce process variation, and eliminate waste. By integrating Lean principles with Six Sigma strategies, the program builds strong analytical thinking and equips learners to support data-backed decision-making in professional environments.

The I-CERT Lean Six Sigma Green Belt Level 2 Certification is ideal for professionals seeking advancement in quality management, operations, engineering, healthcare, logistics, and business process roles. It enhances employability by developing practical, industry-relevant skills that improve efficiency and organizational performance. Upon completion, learners are better positioned to contribute to improvement projects, support leadership teams, and progress toward advanced Lean Six Sigma certifications and managerial responsibilities.

Overview

Certifying Body

Ictqual ab

Course Duration

90–110 hours

Evaluation

Assessment Based

Study Units

24

Learning Mode

Online

Qualification Structure

To achieve the I-CERT Lean Six Sigma Green Belt Level 2 Certification; Candidates must complete the 24 Mandatory units,

Mandatory Units

  1. What Is Six Sigma?
  2. Six Sigma History and Application
  3. Other Process Improvement and Quality Methods
  4. Lean Concepts
  5. Basic Six Sigma Concepts
  6. Approaching the Problem
  7. What is a Process?
  8. Quality
  9. Selecting the Right Projects
  10. Basic Six Sigma Team Management
  11. Introduction to DMAIC and DMADV
  12. Define
  13. Measure
  14. Analyze
  15. Improve
  16. Control
  17. Intermediate Graphical Analysis
  18. Normal Probability Distributions
  19. Correlation and Regression
  20. Non-Normal Probability Distributions
  21. Hypothesis Testing
  22. Sample Size
  23. Advanced Control Charts
  24. Applying Statistics to Business Applications Through Six Sigma

Upon the successfully Completion I-CERT Lean Six Sigma Green Belt Level 2 Certification; learners will be able to

1. What Is Six Sigma?

  • Understand the fundamentals and purpose of Six Sigma
  • Recognize its role in process improvement and quality management
  • Identify key concepts and terminology used in Six Sigma
  • Explain the benefits of Six Sigma in business operations

2. Six Sigma History and Application

  • Understand the historical development of Six Sigma
  • Explore real-world applications across industries
  • Recognize the impact of Six Sigma on operational efficiency
  • Analyze case studies of successful Six Sigma implementation

3. Other Process Improvement and Quality Methods

  • Gain awareness of alternative quality and improvement methodologies
  • Compare Lean, Kaizen, Total Quality Management (TQM), and other approaches
  • Understand their integration with Six Sigma initiatives
  • Evaluate when to apply specific methodologies

4. Lean Concepts

  • Understand core Lean principles and waste elimination
  • Apply Lean tools to improve process efficiency
  • Integrate Lean with Six Sigma for continuous improvement
  • Identify opportunities to optimize workflows

5. Basic Six Sigma Concepts

  • Understand key Six Sigma metrics and terminology
  • Learn about process variation and performance measurement
  • Apply Six Sigma principles to simple process problems
  • Develop a foundation for advanced statistical analysis

6. Approaching the Problem

  • Learn structured problem-solving techniques
  • Define problems clearly using data and evidence
  • Identify root causes systematically
  • Develop actionable improvement strategies

7. What is a Process?

  • Understand the components and flow of business processes
  • Map and analyze processes effectively
  • Identify inefficiencies and bottlenecks
  • Recognize process inputs and outputs

8. Quality

  • Understand quality concepts and standards
  • Recognize customer requirements and expectations
  • Apply quality measurement tools
  • Integrate quality principles into process improvement

9. Selecting the Right Projects

  • Learn criteria for identifying high-impact projects
  • Evaluate project feasibility and benefits
  • Align projects with organizational goals
  • Prioritize initiatives for maximum value

10. Basic Six Sigma Team Management

  • Understand team roles and responsibilities
  • Apply effective team management practices
  • Facilitate collaboration in process improvement projects
  • Support leadership in Six Sigma initiatives

11. Introduction to DMAIC and DMADV

  • Understand DMAIC and DMADV methodologies
  • Identify when to use each approach
  • Apply frameworks to structure process improvement projects
  • Develop project charters and objectives

12. Define

  • Clearly define project goals and scope
  • Identify key stakeholders and requirements
  • Develop process maps and project plans
  • Set measurable objectives

13. Measure

  • Collect and analyze process data
  • Establish baseline performance metrics
  • Identify sources of variation
  • Use measurement tools to quantify process performance

14. Analyze

  • Perform root cause analysis using data-driven methods
  • Apply statistical techniques to identify process issues
  • Use graphical and analytical tools for decision-making
  • Prioritize improvement opportunities

15. Improve

  • Design and implement process improvements
  • Test solutions and validate results
  • Apply Lean tools to optimize workflows
  • Ensure improvements align with business objectives

16. Control

  • Establish control plans to sustain improvements
  • Use control charts and monitoring tools
  • Ensure process stability and consistency
  • Develop documentation for continuous improvement

17. Intermediate Graphical Analysis

  • Apply charts and graphs to interpret process data
  • Identify trends, patterns, and anomalies
  • Make data-driven decisions
  • Communicate findings effectively

18. Normal Probability Distributions

  • Understand normal distribution and its applications
  • Apply probability concepts to process performance
  • Analyze data using statistical tools
  • Make informed process improvement decisions

19. Correlation and Regression

  • Understand relationships between variables
  • Apply regression analysis for predictive insights
  • Use correlation to identify process dependencies
  • Support data-driven decision-making

20. Non-Normal Probability Distributions

  • Identify non-normal data patterns
  • Apply statistical methods for non-normal distributions
  • Analyze and interpret non-standard process data
  • Make reliable improvement recommendations

21. Hypothesis Testing

  • Formulate and test hypotheses using statistical methods
  • Make decisions based on data analysis
  • Evaluate process changes and improvements
  • Reduce uncertainty in decision-making

22. Sample Size

  • Determine appropriate sample sizes for analysis
  • Ensure statistical validity and accuracy
  • Apply sampling techniques in process studies
  • Support effective measurement and control

23. Advanced Control Charts

  • Use advanced control charts for process monitoring
  • Detect variation and trends in processes
  • Ensure consistent quality and performance
  • Support long-term process stability

24. Applying Statistics to Business Applications Through Six Sigma

  • Apply statistical methods to solve real-world business problems
  • Use data to drive process improvement initiatives
  • Translate analysis into actionable business insights
  • Demonstrate competency in Lean Six Sigma methodology
Entry Requirements

Entry Requirements

  • Applicants must be at least 18 years old at the time of enrolment
  • High school diploma or equivalent; higher education in business, engineering, or related fields is an advantage
  • Experience in operations, quality, manufacturing, healthcare, or related fields is beneficial
  • Since the programme is delivered in English, applicants must demonstrate sufficient proficiency in the language.

What You Need to Know

Yes, it follows globally accepted Lean Six Sigma standards used across industries worldwide.

It improves problem-solving skills, enhances career growth, and strengthens operational efficiency knowledge.

Yes, the course focuses on real-world case studies and hands-on process improvement techniques.

It opens opportunities in quality management, operations, and process improvement leadership roles.

It improves efficiency, reduces costs, and ensures consistent quality performance.

Yes, it helps managers improve team performance and operational efficiency.

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