AI Powered Lean Six Sigma Green Belt Online Certification & Training
AI Powered Lean Six Sigma Green Belt
August
24 Hours E-Learning + 16 hours Instructor Led Online Training + 16 Hours Project Mentoring
(Saturday Only)
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E-Learning
₹4,800
E-Learning + Certificate
₹9,800
E-Learning + Project Mentoring + Certification
₹14,800
August
24 Hours E-Learning + 16 hours Instructor Led Online Training + 16 Hours Project Mentoring
(Sunday Only)
Project Mentoring Dates
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E-Learning
₹4,800
E-Learning + Certificate
₹9,800
E-Learning + Project Mentoring + Certification
₹14,800
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 Green Belt
A Lean Six Sigma Green Belt leads projects and mentors Yellow Belt projects. They spend about 20% of their time on continuous improvement initiatives, need to be proficient in using statistical software, and can advance to become Lean Six Sigma Black Belts and Master Black Belts.
The AI-powered Lean Six Sigma Green Belt program offers 24 hours of E-learning, 16 hours of instructor-led online training, and 16 hours of weekend project mentoring. This flexible structure allows you to balance your commitments while mastering the material and maximizing the use of AI tools.
Duration
Certification
Objective
Who Should Attend?
- Professionals with 0-20 years of experience
- Graduates/postgraduates from any discipline
- Any professionals seeking to accelerate his/her corporate career
- Anyone who wants to consider Lean Six Sigma as their career option
- Certified Green Belts seeking to equip themselves to drive projects
- Professionals seeking Lean Six Sigma knowledge rather than just certification
Project Assistance
We offer free assistance from an expert from your field for twelve months.
Essentials
Trainers Profile
- Certified Master Black Belt & die hard fan of Lean Six Sigma
- Over 20 years in the field of Lean Six Sigma
- Full-time consultant & passionate trainer
- Executed/Mentored over 300 Lean Six Sigma projects with $30+ Saving
- Trained over 10,000 professionals across industries
- Corporate Lean Six Sigma trainer for fortune 50 companies
Srinivas TV - Click to view full profile
Course Fee Includes
- Over 56 hours of project-enabled experiential training
- 1 Year access to E-Learning training material
- Minitab training & over 30 hours of extensive practice
- One Lean Six Sigma Green Belt knowledge book
- 80+ LSS templates to help you drive projects with ease
- Over 50+ Exercises to help you gain clarity in concepts
- 200+ real-life data points to ensure you become that expert
- Industry-specific Lean Six Sigma case studies
- Sample question papers with solutions to pass exam with ease
- Community support in executing Lean Six Sigma projects for two years
- Refresher training at no charges
- Exclusive invite to attend Green Belt project presentations
- Pay just the differential amount when you take up Lean Six Sigma Black Belt training in 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 (Simulation to Understand)
- 7.0 Create Value Stream Mapping (VSM)(Simulation to Understand)
- 7.1 Terminologies (CT, FTY, RTY, CO, TPT, WIP, WIQ)
- 7.2 Process Efficiency
- 7.3 Customer Takt time
- 7.4 Create VSM (Simulation to Understand)
- 7.5 Process Efficiency
- 8.0 Create Value Stream Design (VSD) (Simulation to Understand)
- 9.0 Create Flow & Respond to Pull (Simulation to Understand)
- 9.1 Single Piece Flow (Simulation to Understand)
- 9.2 Single Minute of Exchange of Dies (Simulation to Understand)
- 9.3 Line Balancing (Simulation to Understand)
- 9.4 Kanban (Pull Production) (Simulation to Understand)
- 9.5 Heijunka (Production Levelling) (Simulation to Understand)
- 9.6 Just In Time (Simulation to Understand)
- 10.0 Additional Lean Tools
- 10.1 Spaghetti Diagram
- 10.2 Circle Diagram
- 10.3 Total Productive Maintenance
- 10.4 Andon & Visual Management
- 10.5 Visual Factory
- 10.6 Gemba
- 10.7 Hoshin Kanri (Policy Deployment)
- 10.8 PDCA (Plan Do Check Act)
- 10.9 Poka-Yoke (Mistake Proofing) (Simulation to Understand)
- 10.10 Root Cause Analysis
- 10.11 Standardized Work(Simulation to Understand)
- 10.12 Theory of Constraints (Introduction)
- 1.0 Introduction to Quality
- 2.0 Quality Leaders (Juran, Deming, Shewhart, Ishikawa) (Videos to Understand)
- 3.0 Cost of Quality (COQ)
- 4.0 Cost of Poor Quality (COPQ) (Videos to Understand)
- 5.0 Optimum Quality Levels
- 6.0 Failure Mode & Effect Analysis (FMEA)
- 6.1 Create Process FMEA (Videos to Understand)
- 6.2 Create Design FMEA
- 7.0 Key Business Drivers & their Impact
- 7.1 Profit/Margin (Practice to Understand)
- 7.2 Market Share
- 7.3 Customer Satisfaction
- 7.4 Product Differentiation
- 7.5 Cost Benefit Analysis (CBA)
- 7.6 Hard & Soft Benefits (Practice to Understand)
- 7.7 Cost avoidance & Cost reduction (Practice to Understand)
- 8.0 Organisation Goals & Six Sigma
- 9.0 Six Sigma & Balanced Score card
- 10.0 History & Evolution of Six Sigma
- 11.0 Continuous Improvement
- 12.0 Basics of Six Sigma (Simulation to Understand)
- 13.0 Six SigmaApplications
- 14.0 Types of Six Sigma Projects
- 14.1 DMAIC
- 14.2 DFSS / DMADV / IDOV
- 15.0 Change Management (Simulation & Videos to Understand)
- 1.0 Voice of Customer & Business(Simulation to Understand)
- 1 Collect Customer & Business Voices
- 2 Eliminate Vagueness Ambiguity
- 3 VOC Clarity Table
- 2.0 Kano Model (Practice to Understand)
- 3.0 Benchmarking
- 3.1 Competitive
- 3.2 Collaborative
- 3.3 Best Practices
- 4.0 Customer Requirements to Process Requirements
- 4.1 Critical to X (X-Quality, Cost, Safety or any other)
- 4.2 CTQ Drill Down
- 4.3 Quality Function Deployment
- 5.0 Project Section & Prioritisation (Practice to Understand)
- 6.0 Process Owners & Stakeholder Analysis
- 7.0 Project Charter (Practice to Understand)
- 7.1 Business Case
- 7.2 Problem Statement
- 7.3 Project Goal Statement
- 7.4 Project Team
- 7.5 Project Timeline
- 7.6 Project Scope
- 7.7 Expected Benefits
- 7.8 Project Communication
- 8 Financial Evaluation & Business Case
- 9.0 Develop Project Metrics
- 10.0 Project Short &Long Terms Gain (Practice to Understand)
- 11.0 Project Risk Analysis
- 12.0 Process Owners & Stakeholders
- 13.0 Project Roles & Responsibilities
- 14.0 Project Team Dynamics
- 14.1 Forming
- 14.2 Storming
- 14.3 Norming
- 14.4 Performing
- 14.5 Adjourning
- 14.6 Group Thinking
- 14.7 Team Communication & Tools
- 15.0 Project Charter
- 16.0 Project Management & Analytical Tools
- 16.1 Gantt Charts
- 16.2 Interrelationship Diagram
- 16.3 Process Decision Diagrams
- 16.4 Matrix Diagrams
- 16.5 Critical Path Method (CPM) (Simulation to Understand)
- 16.6 Project Evaluation & Review Technique
- 16.7 RACI model
- 16.8 Activity Network Diagram
- 16.9 Tree Diagram
- 16.10 Matrix Diagram
- 16.11 Project Documentation
- 17.0 Project Scope
- 18.0 SIPOC & Process Mapping (Simulation to Understand)
- 1.0 Process Analysis & Documentation
- 1 Process Flow Charts
- 2 Work Instructions &Gap Analysis
- 2.0 Types of Data & Measurement Scale (Simulation to Understand)
- 2.1 Continuous (Variable) Data
- 2.2 Discrete (Attribute) Data
- 2.3 Nominal Data
- 2.4 Ordinal Data
- 2.5 Interval Measurement
- 2.6 Ratio Measurement
- 3.0 Population & Sampling
- 3.1 Basics of Sampling
- 3.2 Sample Size
- 4.0 Type of Samples (Simulation to Understand)
- 4.1 Random Sample
- 4.2 Systematic Sample
- 4.3 Stratified Sample
- 5.0 Basics of Statistics (Simulation to Understand)v
- 5.1 Central Tendency
- 5.2 Dispersion
- 5.3 Proportion
- 6.0 Introduction to Statistical Software (Minitab)
- 6.1 Minitab Practice
- 6.2 Descriptive Statistics
- 6.3 Inferential statistics
- 7.0 Statistical Distributions (Practice to Understand)
- 7.1 Normal
- 7.2 Binominal
- 7.3 Poisson
- 7.4 Chi-Square
- 7.5 Student’s T
- 7.6 F distribution
- 8.0 Basics of Probability (Practice to Understand)
- 8.1 Permutations & Combinations
- 8.2 Frequency Distribution
- 8.3 Cumulative Frequency Distribution
- 8.4 Inverse Cumulative Frequency Distribution
- 9.0 Central Limit Theorem (Simulation to Understand)
- 10.0 Measurement & Data Collection
- 10.1 What is Measurement
- 10.2 Operation Definition
- 10.3 Data Collection Plan (Simulations to Understand)
- 11.0 Graphical Analysis (Practice to Understand)
- 11 Pareto
- 12 Scatter Plot
- 13 Box Plot
- 14 Histogram
- 15 Stem &Leaf Plots
- 16 Time Series Plot
- 17 Run Chart
- 18 Normality (using Minitab)
- 19 Graphical Summary
- 12.0 Variation & Measurement System Analysis
- 12.1 Understanding Variations (Simulation to Understand)
- 12.2 Measurement System Analysis (MSA)
- 12.2.1 Discrimination
- 12.2.2 Accuracy
- 12.2.3 Precision
- 12.2.4 Stability
- 12.3 GRR for Continuous Data (Simulation to Understand)
- 12.4 GRR for discrete Data (Simulation to Understand)
- 12.5 Control Charts & Stability (Simulation to Understand)
- 13.0 Baseline Process Performance (Practice to Understand)
- 11 Baseline Discrete Data (DPU, DPO,DPMO)
- 12 Baseline Continuous Data (Cp, Cpk, Pp, Ppk, Cpm)
- 13 Sigma Value (Short term & Long term)
- 14 Sigma Shifts (Short term Vs Long term)
- 14.0 Process Capability in Detail (Practice to Understand)
- 14.1 Natural Process Limits & Specification Limits
- 14.2 Design & Conducting Process Capability Studies
- 14.3 Specifications, Sampling Plan, Stability & Normality
- 14.4 Capability for Normal Data
- 1.0 Identify Potential Causes (Practice to Understand)
- 1 BrainStorming
- 2 Affinity Diagram
- 3 Cause & Effect Diagram
- 4 Five Whys?
- 2.0 Process Analysis
- 2.1 Value Stream Mapping (Recap from Lean)
- 3.0 Data Analysis
- 4.0 Normal Curve & Normality Test(Practice to Understand)
- 5.0 Confidence Interval, Risk, P value
- 6.0 Hypothesis Testing -Null & Alternate
- 7.0 Alpha & Beta Risks (Practice to Understand)
- 8.0 Hypothesis with Normal Data(Practice to Understand)
- 8.1 1 Sample T
- 8.2 2-Sample T
- 8.3 Paired T
- 8.4 One-Way Anova
- 8.5 Test of Variance
- 9.0 Hypothesis with Non- Normal Data(Practice to Understand)
- 9.1 1 Sample Sign
- 9.2 1 Sample Wilcoxon
- 10.0 Hypothesis with Discrete Data (Practice to Understand)
- 10.1 1 Proportion
- 10.2 2Proportions
- 10.3 Chi-Square
- 11.0 Multi Vari chart (Practice to Understand)
- 12.0 Correlation & its Terminologies
- 13.0 Correlation & Causation
- 14.0 Linear Regression Analysis (Practice to Understand)
- 15.0 Design of Experiments
- 15.1 Need for DOE
- 15.2 Factors, Levels, Response, Treatment
- 15.3 Blocks, Randomisation, Effects & Replication
- 15.4 DOE Plots: Main Effect & Interaction Plots
- 15.5 Full Factorial Experiment (Practice to Understand)
- 1.0 Generate & Evaluate Ideas (Simulations to Understand)
- 1 Brain Storming
- 2 SCAMPER
- 3 Benchmarking
- 4 Lean Solutions
- 5 TRIZ (Introduction)
- 2.0 Selecting Best Solution (Practice to Understand)
- 2.1 Multi-Voting
- 2.2 Pay-off Matrix
- 2.3 Criteria Matrix
- 3.0 Error Proofing
- 3.1 Prevention & Detection
- 3.2 Mistake Proofing &Examples
- 4.0 Assess Risk Failure Mode and Effect Analysis (FMEA)
- 4.1 Process FMEA
- 4.2 Design FMEA
- 5.0 Piloting & Implementation
- 5.1 Pilot Solutions
- 5.2 Pilot Location
- 5.3 Pilot Success Criteria
- 6.0 Implementation
- 6.1 Plan for Implementation
- 6.2 Stakeholder Analysis
- 6.3 Communication Plan
- 6.4 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, X bar R, X bar S)
- 4.5 SPC–Discrete Data (C, U, P, NP charts)
- 5.0 Control Plan
- 6.0 Visual Control
- 7.0 Sustain Improvements
- 7.1 Lesson Learnt
- 7.2 Documentation
- 7.3 Trainings
- 7.4 Ongoing Evaluation
- 8.0 Benefit Computation
- 9.0 Project Closure
- 10.0 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
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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:
Attend online training
-
Pass Criteria:
Successfully pass online/Paper & Pen based exam with 70%
-
Lean6SigmaPro Support:
End to End support to appear for exam & Certification
-
Additional Fee:
NA
TÜV & SÜD
-
Mandatory Training Hours:
Attend online/classroom training
-
Pass Criteria:
Successfully pass online/Paper & Pen based exam with 70%
-
Lean6SigmaPro Support:
End to End support to appear for exam & Certification
-
Additional Fee:
NA
ASQ
-
Mandatory Training Hours:
Attend online/classroom training
-
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.30000)
IASSC
-
Mandatory Training Hours:
Attend online/classroom training
-
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.21000)
Certification Criteria
Exemplar Global
-
Pre-requisite:
Graduate + LSSGB Training -
Examination (Computer):
50 questions -
Exam time (Computer):
75 mins -
Examination (Paper & Pencil):
50 questions -
Exam time (Paper & Pencil):
75 min -
Recertification:
NA
TÜV & SÜD
-
Pre-requisite:
Graduate + LSSGB Training -
Examination (Computer):
50 questions -
Exam time (Computer):
75 mins -
Examination (Paper & Pencil):
50 questions -
Exam time (Paper & Pencil):
75 min -
Recertification:
NA
IASSC
-
Pre-requisite:
Graduate + LSSGB Training -
Examination (Computer):
100 questions (achieve min. 70% -
Exam time (Computer):
3 hours -
Examination (Paper & Pencil):
100 questions (achieve min. 70%) -
Exam time (Paper & Pencil):
3 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 -
Examination (Computer):
110 questions (100 (scored) + 10 (unscored)) -
Exam time (Computer):
4hr 30 min -
Examination (Paper & Pencil):
100 questions -
Exam time (Paper & Pencil):
4 hours -
Recertification:
Every 3 years
Please contact us via below from for more info
Our Courses
- Quality Control
- Failure Mode & Effect Analysis
- Lean Management
- Lean Six Sigma Yellow Belt
- AI Powered Lean Six Sigma Green Belt
- AI Powered Lean Six Sigma Black Belt
- 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
- 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
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.