I-CERT Lean Six Sigma Black Belt Level 2 Certification
Organizations today rely on skilled professionals who can lead quality improvement initiatives, eliminate inefficiencies, and deliver measurable business results. The I-CERT Lean Six Sigma Black Belt Level 2 Certification is designed for learners who want to develop advanced expertise in process improvement, data-driven decision-making, and continuous improvement strategies. This certification provides practical knowledge that enables learners to solve complex business challenges, optimize workflows, and contribute to long-term organizational success across a variety of industries.
The course combines Lean principles with Six Sigma methodologies to help learners improve productivity, reduce operational waste, enhance quality, and strengthen overall business performance. Through practical concepts, real-world applications, and structured problem-solving techniques, learners gain the confidence to analyze processes, identify root causes, implement sustainable improvements, and lead projects that create meaningful and measurable value.
The I-CERT Lean Six Sigma Black Belt Level 2 Certification empowers learners to become confident leaders in process excellence and quality management. With a strong focus on analytical thinking, leadership, and continuous improvement, this certification equips learners with globally recognized skills that are valued across manufacturing, healthcare, logistics, engineering, finance, and service industries. It is an excellent choice for learners who want to enhance their expertise, improve organizational performance, and build a successful career in quality and operational excellence.
Course Overview
Awarding Body
ICTQual AB
Duration
180–200 hours
Study Mode
Online
Assessment
150 MCQs
Study Units
- Introduction to Six Sigma
- Six Sigma History and Practical Applications
- Process Improvement and Quality Methodologies
- Lean Principles and Concepts
- Core Six Sigma Concepts
- Structured Problem-Solving Approaches
- Understanding Business Processes
- Quality Fundamentals
- Project Selection and Prioritization
- Six Sigma Team Roles and Collaboration
- Introduction to DMAIC and DMADV
- Define Phase
- Measure Phase
- Analyze Phase
- Improve Phase
- Control Phase
- Intermediate Graphical Data Analysis
- Normal Probability Distributions
- Correlation and Regression Analysis
- Non-Normal Probability Distributions
- Hypothesis Testing Fundamentals
- Sample Size and Data Reliability
- Advanced Control Charts
- Applying Statistics to Business Through Six Sigma
- Introduction to Minitab
- Graphs and Quality Tools in Minitab
- Statistical Analysis Using the Minitab Stat Menu
- Analysis of Variance (One-Way ANOVA)
- Design of Experiments (DOE)
- Advanced DOE and Factorial Experiments
- Brainstorming and Process Improvement Tools
- Process Mapping Techniques
- Value Stream Mapping
Entry Requirements
- Minimum Age: Learners must be 18 years or above.
- Educational Background: A high school diploma or equivalent is required; a background in business, engineering, operations, or quality management is advantageous.
- Work Experience: Basic experience in process improvement, quality management, or operations is beneficial but not mandatory.
- Language Proficiency: Learners should have a good command of English to understand the course materials and complete assessments effectively.
Who Can Enroll
The I-CERT Lean Six Sigma Black Belt Level 2 Certification is designed for learners who want to strengthen their expertise in quality management, process optimization, and business performance improvement. It is suitable for individuals seeking practical skills to lead improvement projects and drive operational excellence across different industries.
- Learners who want to develop advanced Lean Six Sigma knowledge and practical improvement skills.
- Quality assurance and quality control professionals aiming to enhance process efficiency.
- Operations, production, and manufacturing personnel responsible for improving workplace performance.
- Team leaders and supervisors involved in managing quality and continuous improvement initiatives.
- Project coordinators and business improvement professionals seeking structured problem-solving techniques.
- Process improvement specialists looking to reduce waste and improve organizational productivity.
- Engineers and technical professionals who want to apply Lean Six Sigma methodologies in their work.
- Learners interested in gaining an internationally recognized certification to strengthen their professional profile.
Course Learning Outcomes
Upon completing the Lean Six Sigma Black Belt Level 2 Certification, learners will acquire advanced skills in process improvement, statistical analysis, and operational excellence. The learning outcomes aligned with the 33 study units include:
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
