AI-Powered Lean Six Sigma Black Belt Training
Upcoming AI-Powered Lean Six Sigma Black Belt Training Training Programs and Certification Cost
June
32 Hours E-Learning + 16 hours Instructor Led Online Training + 16 Hours Project Mentoring
(Sunday Only)
Project Mentoring Dates
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E-Learning + Project Mentoring
₹19,800
E-Learning + Project Mentoring + Certification
₹28,800
July
32 Hours E-Learning + 16 hours Instructor Led Online Training + 16 Hours Project Mentoring
(Sunday Only)
Project Mentoring Dates
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| 27 |
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E-Learning + Project Mentoring
₹19,800
E-Learning + Project Mentoring + Certification
₹28,800
Everything You Need to Know About the AI-Powered Lean Six Sigma Black Belt Training Program
AI-Powered Lean Six Sigma Black Belt Training
The Lean Six Sigma Black Belt certification signifies a professional’s expertise in process improvement, data-driven decision-making, and strategic project leadership. A Lean Six Sigma Black Belt acts as a catalyst for change, driving efficiency and quality across organizations. Lean Six Sigma Black Belts mentor Green Belts and aspiring Black Belts, and lead cross-functional teams to solve complex business problems.
Key Deliverables of a Lean Six Sigma Black Belt:
ü Six
sigma strategy and roll-out plan for the given process/area
ü Lead
& execute projects
ü Help
and guide Project Resources/ Help remove project-level barriers
ü Team
and project structuring
ü Six
Sigma Project Results
ü Train
and mentor Green Belts and less experienced Black Belts
What’s Included in the Lean Six Sigma Black Belt Training Program?
• 32+ Hours of Instructor-Led Online Training
• 32+ Hours of high-quality E-learning
• 16+ Hours of project Mentoring
• 50+ Minitab Practice Exercises
Why Choose Our Lean Six Sigma Black Belt Online Course?
Our AI-driven Lean Six Sigma Black Belt online course is designed to equip you with the advanced skills required to thrive in this leadership role. This comprehensive Lean Six Sigma Black Belt training program covers DMAIC methodology, statistical tools, project management, and AI-driven analytics to enhance problem-solving capabilities. The use of AI will significantly enhance your ability to execute complex Lean Six Sigma Black Belt projects and mentor Green Belts and aspiring Black Belts with ease.
By the end of the course, you’ll be confident in leading high-impact process improvement initiatives and mentoring teams with precision. The Lean Six Sigma Black Belt certification cost depends on your selected training package. It starts at ₹19,800 for self-paced e-learning along with Project Mentoring and goes up to ₹28,800 for the complete program, which includes e-learning, Project Mentoring, and Lean Six Sigma Black Belt Certification. These flexible options ensure you receive the right level of Lean Six Sigma Black Belt training to match your career goals and budget.
Duration
Certification
Objective
Our objective is to empower participants with the knowledge, methodology, and skills required to drive and mentor DMAIC Lean Six Sigma Black Belt projects in their respective industries.
Who Should Attend?
- Professionals with over four years of experience
- Any professional seeking to accelerate his/her corporate career
- Anyone who wants to consider Lean Six Sigma as a career option
- Certified Black Belts seeking to upgrade their practical skills
- Professionals seeking Lean Six Sigma knowledge rather than just certification
Project Assistance
Essentials
Trainers Profile
- Certified Master Black Belt & a passionate trainer
- Over 20 years in the field of Lean Six Sigma
- Executed/Mentored over 400 Lean Six Sigma projects with $40+ savings.
- Trained over 12,000 professionals across industries.
- Corporate Lean Six Sigma trainer for Fortune 50 Companies
Srinivas TV - Click to view full profile
Course Fee Includes
- 64 hours of project-enabled experiential learning
- Lifetime access to the student portal of the Lean6SigmaPro Page
- Minitab Training & over 80 hours of extensive practice
- Industry-specific Lean Six Sigma case studies
- Sample question papers with solutions
- Support in executing projects for two years
- Refresher training at no charges
- Exclusive invite to attend Black Belt project presentations
- Mentorship & assistance to accelerate your corporate career
- Pay just the differential amount when you take up Lean Six Sigma Master Black Belt training in the future
- 100% Placement assistance
Course Program
- 1.0 Introduction to Lean
- 2.0 What is Lean & Application of Lean
- 3.0 6S Before Lean(Simulation to Understand)
- 4.0 Types of Waste – (Videos &Simulation to Understand)
- 4.1 Different Types of Wastes
- 4.2 Causes of Waste
- 4.3 Remedies of Waste
- 5.0 Lean Principles Introduction
- 5.1 Identify Customers & Specify Value
- 5.2 Value Stream Mapping
- 5.3 Create Flow
- 5.4 Respond to Pull
- 5.5 Pursuit Perfection
- 6.0 Identify Customers & Specify Value
- 6.1 Customer – Internal & External
- 6.2 Value Added & Non-Value Added
- 7.0 Create Value Stream Mapping (VSM)
- 7.1 Terminologies (CT, FTY, RTY, CO, TPT, WIP, WIQ)
- 7.2 Process Efficiency
- 7.3 Customer Takt time
- 7.4 Create VSM
- 7.5 Process Efficiency
- 8.0 Create Value Stream Design (VSD)
- 9.0 Create Flow & Respond to Pull
- 9.1 Single Piece Flow
- 9.2 Single Minute of Exchange of Dies
- 9.3 Line Balancing
- 9.4 Kanban (Pull Production)
- 9.5 Heijunka (Production Levelling)
- 9.6 Just In Time
- 10.0 Additional Lean Tools
- 1.0 Introduction to Quality
- 2.0 Quality Leaders (Juran, Deming, Shewhart, Ishikawa)
- 3.0 Cost of Quality (COQ)
- 4.0 Cost of Poor Quality (COPQ)
- 5.0 Optimum Quality Levels
- 6.0 Kano Model (Practice to Understand)
- 7.0 Key Performance Measures
- 7.1 Key Performance Indicators
- 7.2 Customer Satisfaction
- 7.3 Product Differentiation
- 7.4 Leading & Lagging Indicators
- 7.5 Create a Line of Sight
- 8.0 Key Business Drivers & their Impact
- 8.1 Profit/Margin (Practice to Understand)
- 8.2 Market Share
- 8.3 Net Present Value (NPV)
- 8.4 Cost Benefit Analysis (CBA)
- 8.5 Hard & Soft Benefits (Practice to Understand)
- 8.6 Cost avoidance & Cost reduction (Practice to Understand)
- 9.0 Organisation Goals & Six Sigma
- 10.0 Balanced Score Card& Six Sigma
- 11.0 History & Evolution of Six Sigma
- 12.0 Continuous Improvement
- 13.0 Basics of Six Sigma (Simulation to Understand)
- 14.0 Six SigmaApplications
- 15.0 Types of Six Sigma Projects
- 15.1 DMAIC
- 15.2 DFSS (DMADV/IDOV)
- 16.0 Strategic Planning & Deployment
- 16.1 SWOT Analysis (Practice to Understand)
- 16.2 PEST
- 16.3 Business Contingency Planning
- 17.0 ProjectTeam Dynamics (Simulation to Understand)
- 17.1 Forming
- 17.2 Storming
- 17.3 Norming
- 17.4 Performing
- 1.0 Voice of Customer & Business(Simulation to Understand)
- 1.1 Collect Customer & Business Voices
- 1.2 Eliminate Vagueness & Ambiguity
- 1.3 VOC Clarity Table
- 2.0 Customer Requirements to Process Requirements
- 2.1 Critical to X (X-Quality, Cost, Safety or any other )
- 2.2 CTQ Drill Down
- 2.3 Quality Function Deployment (Practice to Understand)
- 3.0 Project Section & Prioritisation (Practice to Understand)
- 4.0 Process Owners & Stakeholder Analysis
- 5.0 Project Charter (Practice to Understand)
- 5.1 Business Case
- 5.2 Problem Statement
- 5.3 Project Goal Statement
- 5.4 Project Team
- 5.5 Project Timeline
- 5.6 Project Scope
- 5.7 Expected Benefits
- 6.0 Financial Evaluation & Business Case
- 7.0 Develop Project Metrics
- 8.0 SIPOC & Process Mapping (Simulation to Understand)
- 9.0 Project Tool Gate Review
- 1.0 Types of Data & Measurement Scale (Practice to Understand)
- 1.1 Continuous (Variable) Data
- 1.2 Discrete (Attribute) Data
- 1.3 Nominal Data
- 1.4 Ordinal Data
- 1.5 Interval Measurement
- 1.6 Ratio Measurement
- 2.0 Population & Sampling
- 2.1 Basics of Sampling
- 2.2 Calculate Sample size(Practice to Understand)
- 3.0 Type of Samples
- 3.1 Random Sample
- 3.2 Systematic Sample
- 3.3 Stratified Sample
- 4.0 Basics of Statistics
- 4.1 Central Tendency
- 4.2 Dispersion
- 4.3 Proportion
- 5.0 Introduction to Statistical Software (Minitab)
- 5.1 Minitab Practice
- 5.2 Descriptive Statistics
- 5.3 Inferential Statistics
- 6.0 Statistical Distributions (Practice to Understand)
- 6.1 Normal
- 6.2 Binominal
- 6.3 Poisson
- 6.4 Chi-Square
- 6.5 Student’s T
- 6.6 F distribution
- 6.7 Hypergeometric
- 6.8 Bivariate
- 6.9 Exponential
- 6.10 Lognormal
- 6.11 Weibull
- 7.0 Probability of Distributions (Practice to Understand)
- 7.1 Frequency Distribution
- 7.2 Cumulative Frequency Distribution
- 7.3 Inverse Cumulative Frequency Distribution
- 8.0 Central Limit Theorem (Simulation to Understand)
- 9.0 Measurement & Data Collection
- 9.1 What is Measurement
- 9.2 Operation Definition
- 10.0 Variations& Measurement System Analysis
- 10.1 Understanding Variations (Simulation to Understand)
- 10.2 Measurement System Analysis (MSA)
- 10.2.1 Discrimination
- 10.2.2 Accuracy
- 10.2.3 Precision
- 10.2.4 Stability
- 10.3 GRR for Continuous Data (Simulation to Understand)
- 10.4 Kappa Analysis
- 11.0 Control Charts & Stability (Simulation to Understand)
- 12.0 Baseline Process Performance (Practice to Understand)
- 12.1 Baseline Discrete Data (DPU, DPO, DPMO)
- 12.2 Baseline Continuous Data (Cp, Cpk, Pp, Ppk, Cpm)
- 12.3 Sigma Value (Short term & Long term)
- 12.4 Sigma Shift (Short term Vs. Long term)
- 13.0 Process Capability in Detail (Practice to Understand)
- 13.1 Natural Process Limits & Specification Limits
- 13.2 Design & Conducting Process Capability Studies
- 13.3 Specifications, Sampling Plan, Stability & Normality
- 13.4 Capability for Normal & Non-Normal Data
- 13.5 Process Performance (PPM, DPU, DPMO)
- 13.6 Transformations (Box-Cox & Johnson transformation)
- 1.0 Identify Potential Causes (Practice to Understand)
- 1.1 Brain Storming
- 1.2 Affinity Diagram
- 1.3 Cause & Effect Diagram
- 1.4 Five Why Analysis
- 2.0 Process Analysis
- 2.1 Value Stream Mapping (Recap from Lean)
- 3.0 Data Analysis
- 4.0 Graphical Analysis (Practice to Understand)
- 4.1 Pareto
- 4.2 Scatter Plot
- 4.3 Box Plot
- 4.4 Histogram
- 4.5 Time Series Plot
- 4.6 Run Chart
- 4.7 Normality (using Minitab)
- 4.8 Graphical Summary
- 5.0 NormalCurve & Normality Test(Practice to Understand)
- 6.0 Confidence Interval, Risk & P value
- 7.0 Hypothesis Testing -Null & Alternate
- 7.1 Significance of Confidence Level
- 7.2 Significance of Power
- 7.3 Statistical &Practical Significance
- 7.4 Sample Size for Hypothesis Tests
- 7.5 Point & Interval Estimates
- 7.6 Contingency Tables
- 8.0 Alpha & Beta Risks (Practice to Understand)
- 9.0 Hypothesis with Normal Data(Practice to Understand)
- 9.1 1 Sample T
- 9.2 2-Sample T
- 9.3 Paired T
- 9.4 One-Way Anova
- 9.5 Test of Variance
- 10.0 Hypothesis with Non-Normal Data(Practice to Understand)
- 10.1 1 Sample Sign
- 10.2 1 Sample Wilcoxon
- 10.3 Mann – Whitney
- 10.4 Kruskal- Wallis
- 10.5 Mood’s Median
- 11.0 Hypothesis with Discrete Data (Practice to Understand)
- 11.1 1 Proportion
- 11.2 2 Proportions
- 11.3 Chi-Square
- 12.0 Multi Vari Chart (Practice to Understand)
- 13.0 Correlation & its Terminologies (Practice to Understand)
- 14.0 Correlation &Causation (Practice to Understand)
- 15.0 Regression Analysis (Practice to Understand)
- 16.0 Linear & Non-Linear Regression (Practice to Understand)
- 17.0 Simple & Multi-Linear Regression (Practice to Understand)
- 18.0 Residual Analysis (Practice to Understand)
- 19.0 Design of Experiments (Practice to Understand)
- 19.1 Need for DOE
- 19.2 DOE Terminologies
- 20.0 DOE Designs
- 20.1 Full Factorial Experiments (Practice to Understand)
- 20.2 Fractional Factorial (Practice to Understand)
- 20.3 Balanced & Orthogonal Arrays
- 20.4 Taguchi’s Design
- 1.0 Generate & Evaluate Ideas (Simulations to Understand)
- 1.1 Brain Storming
- 1.2 SCAMPER
- 1.3 Benchmarking
- 1.4 Lean Solutions
- 1.5 TRIZ (Introduction)
- 2.0 Selecting Best Solution(Practice to Understand)
- 2.1 Multi-Voting
- 2.2 Pay-off Matrix
- 2.3 Force Field Analysis
- 3.0 Error Proofing
- 3.1 Prevention & Detection
- 3.2 Mistake Proofing &Examples
- 4.0 Assess Risk FMEA
- 5.0 Piloting & Implementation
- 6.0 Implementation
- 1.0 What is Process Control?
- 2.0 Different Types of Process Controls
- 3.0 Response Plan & Reaction Plan
- 4.0 Statistical Process Control (Practice to Understand)
- 4.1 Monitoring, Controlling of Process Performance
- 4.2 Identify & Select Critical Process Parameters
- 4.3 Subgrouping & Rational Subgrouping
- 4.4 SPC- Continuous Data (I-MR, Xbar R, X bar S)
- 4.5 SPC – Discrete Data (C, U, P, NP charts)
- 5.0 Analyse Control Charts
- 6.0 Control Plan
- 7.0 Project Closure
- 8.0 Celebration
- 1.0 Introduction to Artificial Intelligence
- 1.1 Overview of AI
- 1.1.1 Definition and types of AI (Narrow, General, and Super AI)
- 1.1.2 History and Evolution of AI
- 1.2 Key AI Technologies
- 1.2.1 Machine Learning
- 1.2.2 Deep Learning
- 1.2.3 Natural Language Processing
- 1.2.4 Computer Vision
- 2.0 Integrating AI with Lean Six Sigma
- 2.1 AI in Project Discovery & Definition
- 2.2 AI in Data Collection and Measurement
- 2.3 AI in Data Analysis and Insights
- 2.4 AI in Improvement and Optimization
- 2.5 AI in Identifying Control Mechanism
Course Program Comparision
|
Lean6SigmaPro
|
Tuv Sud
|
IASSC
|
ASQ
|
Exemplar Global
|
KPMG
|
|
|---|---|---|---|---|---|---|
| Introduction to Lean | ||||||
| What is Lean & Application of Lean | ||||||
| 5S Before Lean(Simulation to Understand) | ||||||
| Types of Waste–(Videos &Simulation to Understand) | ||||||
| Different Types of Wastes | ||||||
| Causes of Waste | ||||||
| Remedies of Waste |
Certification Procedure
Exemplar Global
-
Mandatory Training Hours:
72 Hours of LSSBB Training
-
Project:
1 Black Belt project
-
Pass Criteria:
- Successfully pass online/Paper & Pen based exam with 60% - Successfully pass project/viva evaluation with 60% - Combined exam + project/viva evaluation 70%
-
Lean6SigmaPro Support:
End to End support to appear for exam, project certification
-
Additional Fee:
NA
TÜV & SÜD
-
Mandatory Training Hours:
72 Hours of LSSBB Training
-
Project:
1 Black Belt project
-
Pass Criteria:
- Successfully pass online/Paper & Pen based exam with 70% - Successfully pass project evaluation with 70%
-
Lean6SigmaPro Support:
End to End support to appear for exam, project & Certification
-
Additional Fee:
NA
ASQ
-
Mandatory Training Hours:
Attend online/classroom training
-
Project:
1 Black Belt project
-
Pass Criteria:
Successfully pass online/Paper & Pen based exam
-
Lean6SigmaPro Support:
End to End support to appear for exam
-
Additional Fee:
As per ASQ exam fee (Approx. Rs.37000)
IASSC
-
Mandatory Training Hours:
Attend online/classroom training
-
Project:
NA
-
Pass Criteria:
Successfully pass online/Paper & Pen based exam with 70%
-
Lean6SigmaPro Support:
End to End support to appear for exam
-
Additional Fee:
As per IASSC exam fee (Approx. Rs.28000)
Certification Criteria
Exemplar Global
-
Pre-requisite:
Green Belt Certified + LSSBB Training Completion -
Examination (Computer):
100 questions -
Exam time (Computer):
3 hours -
Examination (Paper & Pencil):
100 questions -
Exam time (Paper & Pencil):
3 hours -
Recertification:
NA
TÜV & SÜD
-
Pre-requisite:
Green Belt Certified + LSSBB Training Completion -
Examination (Computer):
100 questions -
Exam time (Computer):
3 hours -
Examination (Paper & Pencil):
100 questions -
Exam time (Paper & Pencil):
3 hours -
Recertification:
NA
IASSC
-
Pre-requisite:
NA -
Examination (Computer):
150 questions (achieve min. 70%) -
Exam time (Computer):
4 hours -
Examination (Paper & Pencil):
150 questions (achieve min. 70%) -
Exam time (Paper & Pencil):
4 hours -
Recertification:
Every 3 years
ASQ
-
Pre-requisite:
3 years (full time paid role) in one or more areas of the green belt body of knowledge + one completed projects with signed affidavits (or) two completed projects with signed affidavits -
Examination (Computer):
165 questions (150 (scored) + 15 (unscored)) -
Exam time (Computer):
4hr 30 min -
Examination (Paper & Pencil):
150 questions -
Exam time (Paper & Pencil):
4 hours -
Recertification:
Every 3 years
Our Courses
- Quality Control
- Ai-Driven Failure Mode & Effect Analysis
- Lean Management
- Lean Six Sigma Yellow Belt Certification Online | AI-Powered
- Instructor Led Lean Six Sigma Green Belt Certification | AI-Powered
- AI-Powered Lean Six Sigma Black Belt Training
- Six Sigma Yellow Belt
- Six Sigma Green Belt
- Six Sigma Black Belt
- Integrated Lean Six Sigma Green Belt + Black Belt
- Integrated Six Sigma Green Belt + Black Belt
- Lean Six Sigma Consultant Program
- PMP - Project Management Professional
- Theory Of Constraints
- Statistical Process Control
- Minitab Mastery
- Lean Six Sigma Project Mentoring
- Lean Six Sigma Master Black Belt Certification | AI-powered
- 5S Methodology
- Eight Wastes of Lean (Service & Manufacturing)
- Eight Wastes of Lean (Manufacturing Industry)
- Value Stream Mapping (Service)
- Value Stream Mapping (Manufacturing & Service)
- Kanban and Supermarket
- Total Productive Maintenance
- Quality Function Deployment
- Process Mapping
- Cause & Effect Diagram
- Population and Sampling
- Graphical Analysis
- Hypothesis Testing
- Advanced Hypothesis Testing
- Measurement System Analysis
- Sampling Distributions
- Capability Analysis
- Design of Experiments
- Taguchi Designs
- AI-Driven Kaizen Training and Certification Program
Lean6SigmaPro: Lean Six Sigma Green Belt
Very carefully designed course to help you master the fundamentals of mighty Lean & Six Sigma and impart the skills required for you to apply the learnings at your respective workplace & able to drive Lean Six Sigma projects.
6 Reasons to choose Lean6SigmaPro
Help you make the optimal use of AI in LSS projects
Project - enabled learning & practice with indusrty data
Post - certification support, career guidance & assistance
Learn from the best consultants & LinkedIn top voices
Internationally recognized Certificates: TUV SUD or Exemplar Global
100% Certification guaranteed + Project Certificate
AI-Powered Lean Six Sigma Black Belt Training course Feedback from Participants
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Get in Touch with Us for Lean Six Sigma Training & Enquiries
Call us at +91 968 698 7766
Write to us at info@xergy.co.in
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Lean more >Lean Six Sigma Master Black Belt FAQs
Yes, if you aim for leadership roles in process improvement. A Six Sigma Black Belt certification builds on your Green Belt knowledge and enables you to lead complex projects, mentor teams, and deliver greater business impact.
A Green Belt focuses on executing improvement projects using the DMAIC methodology, typically part-time. A Black Belt leads high-impact projects full-time, using advanced tools like regression, hypothesis testing, design of experiments (DoE), and many more.
Black Belts can become Six Sigma consultants, process excellence managers, or continuous improvement leaders in industries like IT, manufacturing, healthcare, and banking.
While work experience is helpful, it’s not mandatory. If you have a strong grasp of Green Belt concepts and practical project exposure, you can confidently pursue the Lean Six Sigma Black Belt certification training. What matters most is your ability to apply advanced statistical tools like ANOVA, regression, DoE, and many other tools in real-world scenarios.
It’s recommended to complete Lean Six Sigma Green Belt certification first as it builds a strong foundation in DMAIC, making it easier to understand Black Belt’s advanced tools.
On average, it takes 8 to 10 weeks, depending on your learning pace and project involvement.
Certified Lean Six Sigma Black Belts earn 25–40% more on average than Certified Lean Six Sigma Green Belts, especially in leadership and project management roles.
Industries such as IT, manufacturing, healthcare, Ed-tech, banking, telecom, construction, and retail actively hire Green Belt certified professionals for roles in quality, process, operations, and many more.
It enhances problem-solving skills, boosts career prospects, improves process efficiency, supports data-driven decisions, and helps professionals stand out in quality and operations roles.
Top certifying bodies like TÜV SÜD, Exemplar Global, ASQ, IASSC, and KPMG offer globally recognized Lean Six Sigma Black Belt certifications. But, more than the certificate, applied knowledge, and hands-on project experience are key to success in Six Sigma.
Yes. Our Lean Six Sigma Green Belt online certification program includes self-paced modules, instructor-led sessions, and project mentoring—ideal for working professionals.