I-CERT Lean Six Sigma Black Belt Level 2 Certification

I-CERT Lean Six Sigma Black Belt Level 2 Certification is designed for individuals who want to strengthen their expertise in process excellence, strategic quality management, and performance optimization. This advanced certification expands on core Lean Six Sigma concepts by equipping learners with the knowledge to lead improvement initiatives, manage cross-functional projects, and implement sustainable solutions that enhance productivity, reduce operational costs, and improve customer satisfaction across diverse industries.

The curriculum explores advanced Lean methodologies, statistical analysis, process capability evaluation, risk-based decision-making, and the effective application of the DMAIC framework. Learners develop practical skills in identifying process variation, eliminating non-value-added activities, analyzing performance metrics, and designing data-driven improvement strategies. Through industry-focused case studies and practical scenarios, participants gain the confidence to manage quality improvement projects, support organizational objectives, and create lasting operational efficiencies using internationally recognized Lean Six Sigma practices.

The I-CERT Lean Six Sigma Black Belt Level 2 Certification is well suited for quality managers, operations professionals, engineers, project leaders, business analysts, consultants, and continuous improvement specialists seeking career advancement. By completing this certification, learners demonstrate their ability to lead complex process improvement initiatives, strengthen organizational performance, and support a culture of continuous improvement. The internationally aligned knowledge and practical competencies gained through this program provide a valuable foundation for leadership roles in manufacturing, healthcare, logistics, finance, information technology, and other quality-focused sectors.

Overview

Certifying Body

Ictqual ab

Course Duration

 180–200 hours

Evaluation

Assessment Based

Study Units

33

Learning Mode

Online

Qualification Structure

To achieve the I-CERT Lean Six Sigma Black Belt Level 2 Certification; Candidates must complete the 33 Mandatory units,

Mandatory Units

  1. Introduction to Six Sigma
  2. Six Sigma History and Practical Applications
  3. Process Improvement and Quality Methodologies
  4. Lean Principles and Concepts
  5. Core Six Sigma Concepts
  6. Structured Problem-Solving Approaches
  7. Understanding Business Processes
  8. Quality Fundamentals
  9. Project Selection and Prioritization
  10. Six Sigma Team Roles and Collaboration
  11. Introduction to DMAIC and DMADV
  12. Define Phase
  13. Measure Phase
  14. Analyze Phase
  15. Improve Phase
  16. Control Phase
  17. Intermediate Graphical Data Analysis
  18. Normal Probability Distributions
  19. Correlation and Regression Analysis
  20. Non-Normal Probability Distributions
  21. Hypothesis Testing Fundamentals
  22. Sample Size and Data Reliability
  23. Advanced Control Charts
  24. Applying Statistics to Business Through Six Sigma
  25. Introduction to Minitab
  26. Graphs and Quality Tools in Minitab
  27. Statistical Analysis Using the Minitab Stat Menu
  28. Analysis of Variance (One-Way ANOVA)
  29. Design of Experiments (DOE)
  30. Advanced DOE and Factorial Experiments
  31. Brainstorming and Process Improvement Tools
  32. Process Mapping Techniques
  33. Value Stream Mapping

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

1. Introduction to Six Sigma

  • Understand Six Sigma principles and objectives
  • Recognize the strategic role of Six Sigma in organizations
  • Identify key benefits and applications of Six Sigma
  • Develop a foundation for advanced process improvement

2. Six Sigma History and Practical Applications

  • Explore the evolution of Six Sigma methodologies
  • Examine real-world applications across industries
  • Apply best practices to practical scenarios
  • Understand global standards in process improvement

3. Process Improvement and Quality Methodologies

  • Apply structured process improvement techniques
  • Integrate quality management frameworks
  • Identify inefficiencies and optimization opportunities
  • Develop measurable performance improvement goals

4. Lean Principles and Concepts

  • Understand Lean philosophy and waste elimination
  • Apply Lean tools to improve process efficiency
  • Enhance value stream flow and operational effectiveness
  • Foster continuous improvement culture

5. Core Six Sigma Concepts

  • Learn key Six Sigma terminology and metrics
  • Understand process variation and capability
  • Apply data-driven decision-making
  • Establish project objectives aligned with business goals

6. Structured Problem-Solving Approaches

  • Apply systematic approaches to problem-solving
  • Identify root causes and prioritize solutions
  • Develop actionable plans for improvement
  • Align solutions with strategic objectives

7. Understanding Business Processes

  • Map and analyze business processes
  • Identify value-adding and non-value-adding activities
  • Improve workflow efficiency
  • Align process improvements with organizational goals

8. Quality Fundamentals

  • Understand quality management principles
  • Implement tools to measure and improve quality
  • 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 organizational objectives
  • Ensure alignment with strategic goals

10. Six Sigma Team Roles and Collaboration

  • Understand roles within Six Sigma teams
  • Facilitate effective collaboration
  • Lead cross-functional teams
  • Manage stakeholder expectations

11. Introduction to DMAIC and DMADV

  • Learn the DMAIC and DMADV frameworks
  • Apply structured methodologies to projects
  • Identify areas for process improvement
  • Enhance problem-solving capabilities

12. Define Phase

  • Define project goals and scope
  • Identify key stakeholders
  • Develop project charters
  • Establish measurable objectives

13. Measure Phase

  • Implement advanced data collection methods
  • Measure process performance accurately
  • Identify sources of variation
  • Prepare data for analysis

14. Analyze Phase

  • Conduct root cause analysis
  • Use statistical tools to identify process issues
  • Prioritize causes for improvement
  • Validate findings with data

15. Improve Phase

  • Develop and implement solutions
  • Optimize processes using Lean Six Sigma tools
  • Test improvements for effectiveness
  • Ensure alignment with business objectives

16. Control Phase

  • Establish control mechanisms
  • Maintain improvements over time
  • Monitor performance using control charts
  • Sustain process excellence

17. Intermediate Graphical Data Analysis

  • Visualize data for insights
  • Use graphs to detect trends and patterns
  • Support decision-making
  • Communicate findings effectively

18. Normal Probability Distributions

  • Understand and apply normal distribution concepts
  • Analyze process performance data
  • Identify deviations from expected outcomes
  • Make informed improvement decisions

19. Correlation and Regression Analysis

  • Identify relationships between variables
  • Apply regression for predictive insights
  • Use correlation to guide improvements
  • Support data-driven decisions

20. Non-Normal Probability Distributions

  • Analyze processes with non-normal data
  • Apply appropriate statistical tools
  • Identify patterns and risks
  • Enhance analytical accuracy

21. Hypothesis Testing Fundamentals

  • Formulate hypotheses for process improvement
  • Conduct tests to validate assumptions
  • Interpret results for decision-making
  • Support data-driven solutions

22. Sample Size and Data Reliability

  • Determine adequate sample sizes
  • Ensure data reliability and accuracy
  • Apply statistical principles to projects
  • Improve confidence in analysis results

23. Advanced Control Charts

  • Monitor processes using control charts
  • Detect variations and trends
  • Maintain process stability
  • Support continuous improvement efforts

24. Applying Statistics to Business Through Six Sigma

  • Apply statistical methods to business problems
  • Analyze data to support improvement decisions
  • Evaluate process performance
  • Implement evidence-based solutions

25. Introduction to Minitab

  • Use Minitab for data analysis
  • Apply statistical tools effectively
  • Generate reports and insights
  • Enhance analytical skills for projects

26. Graphs and Quality Tools in Minitab

  • Create visual representations of data
  • Apply quality tools for analysis
  • Interpret charts for decision-making
  • Support project reporting

27. Statistical Analysis Using the Minitab Stat Menu

  • Perform advanced statistical analysis
  • Use software tools to support data-driven decisions
  • Analyze complex datasets
  • Identify actionable insights

28. Analysis of Variance (One-Way ANOVA)

  • Conduct ANOVA to compare group differences
  • Identify significant process factors
  • Apply results to optimize processes
  • Support project improvement decisions

29. Design of Experiments (DOE)

  • Plan experiments to test process changes
  • Identify key variables and their effects
  • Analyze results for optimization
  • Apply DOE to improvement projects

30. Advanced DOE and Factorial Experiments

  • Conduct factorial experiments for multiple variables
  • Analyze interactions between factors
  • Implement data-driven improvements
  • Enhance process design effectiveness

31. Brainstorming and Process Improvement Tools

  • Use creative problem-solving techniques
  • Identify potential solutions and process improvements
  • Prioritize ideas for implementation
  • Support team collaboration

32. Process Mapping Techniques

  • Map complex processes visually
  • Identify bottlenecks and inefficiencies
  • Improve workflow and resource utilization
  • Align processes with organizational goals

33. Value Stream Mapping

  • Apply value stream mapping to optimize processes
  • Identify waste and non-value-added activities
  • Enhance process flow and efficiency
  • Support enterprise-wide Lean initiatives
Entry Requirements

Entry Requirements

  • Applicants must be at least 18 years old at the time of enrolment
  • No formal qualifications are required; a secondary school education or equivalent is recommended.
  • Prior experience in quality management, process improvement, manufacturing, operations, engineering, project management, or related industries is beneficial.
  • Since the programme is delivered in English, applicants must demonstrate sufficient proficiency in the language.

What You Need to Know

Yes. The certification follows globally recognized Lean Six Sigma principles used across industries.

Learners will develop leadership, analytical, problem-solving, and quality improvement skills.

It improves leadership skills, enhances problem-solving ability, and supports career growth in quality and operations management.

It qualifies professionals for advanced roles in process improvement, operations management, and quality leadership.

Yes, learners can immediately apply Lean Six Sigma techniques to improve workplace processes and efficiency.

Yes, it helps improve patient care, reduce errors, and enhance healthcare process efficiency.

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