Lean Six Sigma Black Belt Certification Training

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Course Overview: Lean Six Sigma Black Belt Certification Training

Take your expertise to the highest level with Nvidya’s Lean Six Sigma Black Belt Certification Training. This advanced program is designed for professionals who want to master complex process improvement methodologies and lead large-scale transformation initiatives.

Key Features

  • Lifetime LMS Access

    Enjoy unlimited access to learning materials, resources, and course updates for continuous growth.

  • 4 Simulation Assessments & 2 Live Projects

    Gain hands-on experience by applying concepts to real-world business scenarios.

  • Exam Cheat Sheet

    A quick reference guide designed to help you prepare effectively and ace your certification exam.

  • 36 Hours of Live Instructor-Led Training

    Learn directly from industry experts through interactive and engaging sessions.

  • Earn 35 PDUs

    Strengthen your professional profile and meet global certification requirements.

  • Exclusive GenAI Modules for Quality Management

    Discover how generative AI is revolutionizing quality improvement and operational efficiency.

  • Globally Accredited Curriculum

    Training aligned with internationally recognized standards from the IASSC.

Skills Covered

  • Application of Lean concepts
  • Manage team dynamics
  • Project prioritization matrix
  • Advanced statistical analysis
  • Work with multiple levels

Career Benefits of Lean Six Sigma Black Belt Certification Training

The Lean Six Sigma Black Belt Certification equips professionals with advanced tools to lead large-scale process improvements, optimize global operations, and drive measurable business results. With strong demand across industries, certified experts enjoy higher salaries and opportunities at top companies like Amazon, Oracle, and VMware.

Excellence in Action with Black Belt

Instructor-led
Learn from expert instructors in live, online sessions.
Get 24/7 learner support and access two full-length mock exams.
Choose a schedule that fits your availability.

$999

Corporate Training
Choose from flexible pricing and billing options.
Join private cohorts tailored to your teams.
Track your training progress with intuitive dashboards.
Assess and benchmark your skills easily. Integrate seamlessly with your existing platforms.
Get support from a dedicated Customer Success Manager

Eligibility for Lean Six Sigma Black Belt Certification Training

The Lean Six Sigma Black Belt Certification is designed for professionals aiming to take on leadership roles in process improvement and organizational excellence. 

It is particularly suited for team leaders, project managers, software professionals, senior management, quality assurance engineers, and other management professionals seeking to accelerate their career growth.

Prerequisites

To enroll, learners should hold at least an undergraduate degree or a high school diploma. While not mandatory, completing formal Lean Six Sigma Black Belt training from a recognized provider and having prior experience with Lean Six Sigma projects is strongly recommended. 

These prerequisites ensure candidates are well-prepared to succeed in the exam and apply methodologies effectively in real-world business environments.

Course Content: Lean Six Sigma Black Belt Certification Training

Lesson 01: Course Introduction
Section 01 - Course Introduction

1.01 Course Introduction

1.01 Introduction to Define Phase
1.02 Learning Objectives
1.03 Six Sigma
1.04 Lean
1.05 Sigma Shift
1.06 Yield
1.07 Continuous Improvement Process Evolution
1.08 Six Sigma Deliverables
1.09 Problem Solving Strategy
1.10 VOC Campaign
1.11 VOC Tools
1.12 VOB
1.13 VOE
1.14 KANO Analysis
1.15 Six Sigma Roles and Responsibilities
1.16 Project Champion and Master Black Belt
1.17 Black Belt and Yellow Belt
1.18 Drivers of Six Sigma
1.19 Key Takeaways

2.01 Learning Objectives
2.02 Process
2.03 Project Charter
2.04 Critical to Quality (CTQ)
2.05 Cost of Poor Quality (COPQ)
2.06 Calculating COPQ
2.07 Pareto Analysis (80-20 rule)
2.08 Basic Six Sigma Metrics
2.09 Key Takeaways

3.01 Learning Objectives
3.02 Selecting Lean Six Sigma Projects
3.03 Project Selection Roadmap
3.04 Project Charter: Elements
3.05 Project Charter: Business Case
3.06 Project Charter: Problem Statement
3.07 Project Charter: Goal Statement
3.08 Project Charter: Scope
3.09 Project Charter: Key Milestones
3.10 Project Charter: Team Selection
3.11 Tuckman’s Stages of Team Formation
3.12 The RACI and RASIC Matrix
3.13 Expected Financial Benefits
3.14 Developing Project Metrics
3.15 Key Performance Indicator (KPI)
3.16 Financial Evaluation and Benefits Capture
3.17 Net Present Value (NPV)
3.18 Key Takeaways

4.01 Learning Objectives
4.02 Lean
4.03 Principles of Lean
4.04 Lean Methodology
4.05 Lean and Six Sigma
4.06 3Ms of Lean
4.07 Categories of Waste (TIMWOODS)
4.08 Categories of Waste (DOWNTIME)
4.09 5S
4.10 Steps in 5S: Part One
4.11 Steps in 5S: Part Two
4.12 Key Takeaways
4.13 Activity
4.14 Solution

1.01 Introduction to Measure Phase
1.02 Learning Objectives
1.03 Tools to Define a Process
1.04 Cause-and-Effect Diagram
1.05 Drawing a Fishbone Diagram
1.06 Root Cause
1.07 Process Mapping
1.08 Creating a Process Map
1.09 Process Mapping Levels
1.10 Four Types of Process Maps
1.11 SIPOC Process Map
1.12 Value Stream Maps
1.13 Value Stream Maps: Key Metrics
1.14 X-Y Diagrams or Scatter Plots
1.15 Failure Mode and Effects Analysis (FMEA)
1.16 FMEA Process
1.17 FMEA Template
1.18 Severity, Occurrence, and Detection Table
1.19 Risk Priority Number (RPN)
1.20 Key Takeaways

2.01 Learning Objectives
2.02 Data
2.03 Measurement Scales
2.04 Basic Statistics
2.05 Measures of Central Tendency
2.06 Measures of Dispersion
2.07 Data Collection Plan
2.08 Data Collection Plan: Steps
2.09 Develop a Measurement Plan
2.10 Collect Data
2.11 Sampling
2.12 Sampling Methods
2.13 Graphical Analysis
2.14 Graphical Analysis: Tools
2.15 Demo: Introduction to Minitab
2.16 Demo: Box Plot (One Variable)
2.17 Demo: Box Plot (Three Variables)
2.18 Demo: Time Series Plot
2.19 Normal Distribution
2.20 Standard Normal Distribution
2.21 Demo: Normality Test
2.22 Key Takeaways

3.01 Learning Objectives
3.02 Measurement System Analysis: Overview
3.03 Good and Poor Measurement System Analysis
3.04 Measurement Error Categories
3.05 MSA Sources of Variation
3.06 Repeatability
3.07 Reproducibility
3.08 Accuracy
3.09 Bias
3.10 Stability
3.11 Linearity
3.12 MSA Types
3.13 Gage R&R Guidance in MINITAB
3.14 Gage R&R Ground Rules
3.15 Demo: Gage R&R Continuous Data
3.16 Attribute Agreement Analysis (AAA)
3.17 Attribute Gage Study
3.18 Demo: Gage R&R Attribute Data
3.19 Key Takeaways

4.01 Learning Objectives
4.02 Process Capability Overview
4.03 RUMBA Analysis
4.04 Process Capabilities
4.05 Data Types
4.06 Baseline Performance: Part One
4.07 Baseline Performance: Part Two
4.08 Components of Variation
4.09 Process Stability
4.10 Process Capability Indices
4.11 Demo: Capability Analysis Continuous Data
4.12 Process Capability Indices: Example
4.13 Demo: Capability Analysis Continuous Data Sigma Level
4.14 Z Score
4.15 Process Baseline
4.16 Defects per Unit
4.17 Defects per Million Opportunities
4.18 Attribute Data: Example
4.19 Short-Term and Long-Term Process Capability
4.20 Key Takeaways
4.21 Activity
4.22 Solution

1.01 Introduction to Analyze Phase
1.02 Learning Objectives
1.03 Frequency Distribution
1.04 Demo: Histogram
1.05 Probability Distribution
1.06 Types of Probability Distributions
1.07 Types of Discrete Probability Distributions
1.08 Types of Continuous Probability Distribution
1.09 Key Takeaways

2.01 Learning Objectives
2.02 Inferential Statistics
2.03 Branches of Inferential Statistics
2.04 Central Limit Theorem (CLT)
2.05 Key Takeaways

3.01 Learning Objectives
3.02 Basics of Hypothesis Testing
3.03 Confidence Interval
3.04 Significant Difference Between Datasets
3.05 Detecting Significance
3.06 Statistical Hypothesis Test
3.07 Hypothesis Testing Risks
3.08 Beta Risk
3.09 Power of a Hypothesis Test
3.10 Sample Size
3.11 Hypothesis Testing Roadmap
3.12 Key Takeaways

4.01 Learning Objectives
4.02 Normal Data
4.03 One-Sample T-test
4.04 One-Sample T-Test: Sample Size
4.05 Demo: One-Sample T-Test
4.06 Two-Sample T-Test
4.07 Two-Sample T-Test Example
4.08 Demo: Two-Sample T-Test
4.09 Demo: Bartlett Test
4.10 Paired T-Test
4.11 Demo: Paired T-Test
4.12 Z-Test for Hypothesis Testing
4.13 ANOVA
4.14 Demo: ANOVA
4.15 Residual Plots
4.16 Key Takeaways

5.01 Learning Objectives
5.02 Non-Parametric Tests
5.03 Mann Whitney Test
5.04 Demo: Mann Whitney Test
5.05 Kruskal Wallis Test
5.06 Demo: Kruskal Wallis Test
5.07 Mood's Median Test
5.08 Demo: Mood's Median Test
5.09 Friedman Test
5.10 Demo: Friedman Test
5.11 One-Sample Sign Test
5.12 Demo: One-Sample Sign Test
5.13 One-Sample Wilcoxon Test
5.14 Demo: One-Sample Wilcoxon Test
5.15 One-Sample Proportion Tests
5.16 Demo: One-Sample Proportion Test
5.17 Two-Sample Proportion Tests
5.18 Demo: Two-Sample Proportion Test
5.19 Chi-Square Tests
5.20 Demo: Chi-Square Test of Independence
5.21 Chi-Square Goodness-of-Fit Test
5.22 Demo: Chi-Square Goodness of Fit
5.23 Chi-Square Cross Tabulation
5.24 Demo: Chi-Square Cross Tabulation
5.25 Demo: Two-Sample T-Test with Levene F-Test
5.26 Key Takeaways
5.27 Exercise One
5.28 Exercise Two

1.01 Introduction to Improve Phase
1.02 Learning Objectives
1.03 Correlation
1.04 Demo: Correlation
1.05 Demo: Correlation Test Using Scatter Plot
1.06 Correlation and Causation
1.07 Predictor Measures and Results
1.08 Correlation Coefficients
1.09 Regression Analysis
1.10 Demo: Regression
1.11 Residual Analysis
1.12 Key Takeaways

2.01 Learning Objectives
2.02 Multi-Vari Analysis
2.03 Demo: Multi-Vari Analysis
2.04 Nonlinear Regression
2.05 Multiple Linear Regression
2.06 Demo: Multiple Linear Regression
2.07 Variance Inflation Factor (VIF)
2.08 Variance Inflation Factor (VIF): Example
2.09 Confidence Interval for Multiple Linear Regression
2.10 Box-Cox Transformation
2.11 Demo: Box-Cox Transformation
2.12 Key Takeaways

3.01 Learning Objectives
3.02 Design of Experiments (DOE)
3.03 Phases of DOE Process
3.04 Optimization and Confirmation Phase
3.05 Types of DOE Strategies
3.06 Full Factorial and Fractional Factorial Approaches
3.07 Principles of Experimental Design
3.08 Key Takeaways

4.01 Learning Objectives
4.02 Factorial Designs
4.03 Full Factorial Experiments
4.04 Demo: Full Factorial Experiments
4.05 Quadratic Models
4.06 Types of Response Surface Designs
4.07 Balanced and Orthogonal Designs
4.08 Center Points
4.09 Fractional Factorial Experiment
4.10 Confounding
4.11 Key Takeaways

5.01 Learning Objectives
5.02 Competitor Analysis
5.03 Benchmarking, Types of Benchmarking, and Best Practices
5.04 Team Tools
5.05 Pugh Analysis and Solution Prioritization Matrix
5.06 Process Redesign and Optimization
5.07 Cost Benefit Analysis (CBA)
5.08 Pilot Testing, Implementation, PDCA, and Prototyping
5.09 Project Plan
5.10 Project Plan Schedule
5.11 Project Plan Risks
5.12 Quality Function Deployment (QFD)
5.13 Failure Modes and Effects Analysis (FMEA)
5.14 Change Management in Lean Six Sigma
5.15 Roadmap for Design for Six Sigma
5.16 Key Takeaways

1.01 Introduction to Control Phase
1.02 Learning Objectives
1.03 Control Methods of Five S
1.04 Sort
1.05 Set in Order
1.06 Shine, Standardize, and Sustain
1.07 Kanban
1.08 Kanban Principles
1.09 Six Steps to Implement Kanban
1.10 Poka-Yoke or Mistake Proofing
1.11 Mistake Proofing: Examples
1.12 Key Takeaways

2.01 Learning Objectives
2.02 Statistical Process Control: Purpose
2.03 Control Charts
2.04 Control Charts: Objectives
2.05 Control Charts: Uses
2.06 Control Charts: Types
2.07 Control Charts: Steps
2.08 Subgroup
2.09 Considerations for Rational Subgrouping
2.10 Charts for Attribute Data
2.11 Tests for Special Causes
2.12 Demo: I-MR Chart
2.13 Demo: X-Bar-R Chart
2.14 Demo: XBar-S Chart
2.15 Demo: P-Chart
2.16 Demo: NP-Chart
2.17 Demo: U-Chart
2.18 Demo: C-Chart
2.19 Demo: CUSUM-Chart
2.20 Demo: EWMA-Chart
2.21 Key Takeaways

3.01 Learning Objectives
3.02 Project Cost Benefit Analysis
3.03 Return on Investment (ROI) and Return on Assets (ROA)
3.04 Cost Benefit Analysis
3.05 Cost Benefit Analysis: Steps
3.06 Net Present Value (NPV) and Internal Rate of Return (IRR)
3.07 Selecting the Right Solutions
3.08 Implementation of Proposed Solutions Roadmap
3.09 Control Plan
3.10 Elements of a Control Plan
3.11 Training, Monitoring, and Aligning Systems and Structures
3.12 Response Plan
3.13 Project Closure
3.14 Key Takeaways
3.15 Exercise

Exam & Certification FAQs

How can I become a certified Lean Six Sigma Black Belt professional?

To achieve a Lean Six Sigma Black Belt certification, learners are required to complete the structured training program, demonstrate active participation, and pass assessments that test both theoretical knowledge and practical application. Typically, this includes clearing a mock or practice test and successfully completing a project that reflects the application of Lean Six Sigma principles in real scenarios.

No. The course fee covers training and learning resources only. The certification exam fee must be purchased separately through the official exam provider.

Exam vouchers are generally valid for 12 months from the date of purchase. If the exam is not scheduled within this time frame, a new voucher will need to be purchased.

Unfortunately, exam vouchers are issued directly by certification bodies and are non-refundable. Candidates should ensure they are ready to take the exam before registration.

Yes. Learners receive access to a practice test designed to simulate the real exam format. This helps in building confidence and identifying areas that need additional preparation before taking the final certification exam.

There are no formal prerequisites. However, prior exposure to Lean Six Sigma practices or completion of a Green Belt certification is highly recommended for a better learning experience.

No, the Lean Six Sigma Black Belt certification does not have an expiry date. Once certified, you hold the credential for life. However, professionals are encouraged to keep their skills current through continuous learning and practice.

The exam is a proctored, closed-book test comprising 150 questions, which include both multiple-choice and true/false formats. The duration of the exam is 4 hours.

A minimum score of 70% is required to successfully earn the Lean Six Sigma Black Belt certification.

CERTIFICATE FOR Lean Six Sigma Black Belt Certification Training
THIS CERTIFICATE IS AWARDED TO
Your Name
FOR SUCCESSFUL PARTICIPATION IN
Lean Six Sigma Black Belt Certification Training
Issued By NVidya
Certificate ID __________
Date __________

Success Stories

Rakesh Menon
Rakesh Menon

““A career-defining learning experience.””

"As an individual learner from India, this course was exactly what I needed to step up into leadership roles. The structured modules, live sessions, and real-world projects gave me practical exposure to advanced Six Sigma tools. I feel confident leading large-scale improvement initiatives at my organization, and the certification has already boosted my career prospects."

Emily Johnson
Emily Johnson

““Seamless training for corporate excellence.””

"Our team in the U.S. enrolled in Nvidya’s Lean Six Sigma Black Belt training as part of a corporate program, and the results were outstanding. The blend of instructor-led sessions, case studies, and GenAI modules provided deep insights into process optimization. It not only enhanced individual skills but also aligned our organization toward measurable, data-driven outcomes."

Why Choose This Program?

Develop In-Demand Skills

Gain practical expertise crafted with industry and academic input.

Learn from Seasoned Professionals

Learn from seasoned professionals sharing real-world insights and case studies.

Engage in Applied Learning

Build skills through hands-on projects with real data and virtual labs.

Benefit from Continuous Support

Enjoy 24/7 access to mentors and a supportive learning community.

Frequently Asked Questions

How long does it take to complete the Lean Six Sigma Black Belt (LSSBB) course?

The Lean Six Sigma Black Belt course is designed to be completed in a structured training schedule, typically within a few weeks. While the core training can be finished in a short duration, mastering Lean Six Sigma is an ongoing process that requires applying the tools and techniques to real business projects. Learners are encouraged to continue practicing beyond the classroom to build long-term expertise.

There are no strict prerequisites for enrolling in the Lean Six Sigma Black Belt program. However, it is highly recommended that learners have prior exposure to Lean Six Sigma concepts, ideally at the Green Belt level, along with some hands-on project experience. This background helps participants grasp advanced topics more effectively and gain greater value from the training.

At Nvidya, our programs are designed with a practical, career-focused approach. The Lean Six Sigma Black Belt training combines interactive sessions, case studies, and industry-aligned projects to ensure learners not only understand the concepts but can also apply them in real-world scenarios. Our instructors are experienced practitioners who bring valuable insights from implementing Lean Six Sigma across industries. With flexible learning formats and global recognition, Nvidya ensures professionals are job-ready from day one.

The Lean Six Sigma Black Belt certification equips professionals with the skills to lead complex improvement projects, optimize business processes, and drive measurable results. Certified Black Belts are trained to analyze performance gaps, eliminate inefficiencies, and implement sustainable improvements. They also play a strategic role, often mentoring Green Belts and working as change leaders within organizations.

Earning a Lean Six Sigma Black Belt opens doors to a wide range of leadership and specialized roles, including:

  • Operations Manager
  • Process Improvement Leader
  • Business Excellence Manager
  • Quality Assurance Specialist
  • Lean Six Sigma Consultant
  • Compliance and Risk Manager

Project or Program Manager
These roles are found across industries such as IT, healthcare, manufacturing, finance, and services, where operational efficiency is a top priority.

Not at all. Nvidya offers session recordings for all live classes. Learners can revisit any missed session at their convenience, ensuring they stay aligned with the course progress. This flexible approach allows professionals to balance training with their work and personal commitments without missing critical content.

Learners consistently value the structured curriculum, hands-on learning approach, and the real-world relevance of Nvidya’s Lean Six Sigma programs. Many participants highlight the blend of theory and practice as a key strength, enabling them to apply concepts directly in their jobs. The flexibility of learning options also makes it suitable for working professionals who want to upskill while managing their careers.

Yes. Alongside Lean Six Sigma Black Belt, Nvidya provides a variety of Quality Management programs tailored to different career levels. These include:

  • Lean Six Sigma Green Belt
  • Lean Six Sigma Master Black Belt (advanced level)
  • Lean Management Fundamentals
  • Introduction to Six Sigma
  • Specialized workshops on tools like Minitab and quality frameworks

These programs are designed to support professionals in building expertise across the spectrum of process improvement and operational excellence.