Accelerate your quality and process improvement skills with the Certificate in Lean Six Sigma Green Belt with AI. Learn to apply Lean, Six Sigma, and AI-powered analytics to solve business problems with speed and precision.
This program is ideal for working professionals, engineers, quality executives, and managers who want to strengthen their process improvement capabilities. By combining Lean Six Sigma Green Belt practices with AI-enabled tools, the course equips learners to deliver faster insights, smarter decisions, and measurable performance improvements across industries.
The Certificate in Lean Six Sigma Green Belt with AI is a short-term professional program designed to build strong competencies in process improvement, quality management, and data-driven decision-making. The curriculum focuses on the DMAIC framework (Define, Measure, Analyse, Improve, Control) along with Lean tools for waste reduction and operational efficiency. Integration of Artificial Intelligence concepts enables learners to apply modern analytical techniques for quicker root-cause analysis, predictive insights, and performance monitoring. This certification prepares learners to contribute effectively to improvement initiatives across manufacturing, services, healthcare, logistics, and IT-enabled sectors, making it highly relevant in today’s AI-driven business environment. SCDL is ISO Certified, ensuring standardised academic and administrative processes.
Upon completing this Lean Six Sigma Green Belt with AI certification, learners will be able to:
Apply Lean and Six Sigma principles to identify and eliminate process inefficiencies.
Execute structured problem-solving using the DMAIC methodology.
Use basic statistical tools for data-based process analysis and improvement.
Leverage AI-enabled tools for enhanced process monitoring and decision-making.
Trainer Details:
Dr Amber Batwara
(PhD, Certified Master Black Belts )
Research Area - Operations, Quality, and Lean Management
Objectives of the Program:
Provide a strong foundation in Lean and Six Sigma principles.
Develop the ability to identify waste, variation, and process inefficiencies.
Enable structured problem-solving using the DMAIC methodology.
Build a working understanding of statistics and data-based analysis.
Introduce AI-enabled tools and techniques for process monitoring and improvement.
Prepare learners to contribute effectively to quality, productivity, and continuous improvement projects.
No. 1
Ranked Institute
High Industry
Acceptance
25 Years
of Legacy
Highlights
Highlights of the Course from Symbiosis
Short-term, focused 3-month professional certification
Comprehensive coverage of Quality Management Systems and ISO standards
Practical understanding of documentation, audits, and compliance processes
Industry-ready Excel formats, AI tools, and Power BI exposure are included as part of the curriculum
Ideal complement to Lean Six Sigma and operations management programs
35 Contact Hrs of Training
Comprehensive Training Manuals will be provided to learners.
Access to e-learning materials and recorded lectures will be provided through the SCDL learning platform.
Top-Ranked Online College for Six Sigma
25+ Years of Academic Legacy
Flexible Learning for Working Professionals
Global Student Base
Relevant, Updated Curriculum
Eligibility
10+2 (Recognized Board) / ITI / Diploma / Any Graduate
Working professionals seeking upskilling in quality and process improvement are encouraged to apply.
Note: Admission for this Diploma is open for the July 2026 Batch
Duration & Validity
Program Duration: 3 Months
Registration Period Validity: 6 Months
This flexibility makes it one of the most practical online Certificates in Lean Six Sigma Green Belt with AI in India.
Program Structure
10
Credit Points
Subjects
Lean Six Sigma Green Belt with AI
Case study
Career Opportunities
Process Improvement Executive
Quality Analyst
Operations Support Executive
Continuous Improvement Team Member
Junior Six Sigma Project Associate
Fees
Application Fees
The application form fee for all applicants is: ₹ 1200/-
Note: Application fee is non-refundable.
Note: Admission for this Diploma is open for the July 2026 Batch
Fees
One time full payment:
General: ₹ 15,000
Defence: ₹ 15,000
International: ₹ 30,000
SAARC: ₹ 26,000
Note
Program commencement is subject to sufficient enrollments for the program. Exam fees and project fee is not included in program fee. Pay Exam fees and project fee separately. Pay exam fee per paper per attempt. Exam fees or project fee is non-refundable and non-transferable. SCDL does not accept any type of fee in cash.
Mode of Payment
Online: Pay application form fee, program fee & all exam fees online. OR
Demand Draft: Pay program & all exam fees via Demand Draft (DD) drawn in favour of “The Director SCDL, Pune” payable at Pune.
(Note: SCDL does not accept any fee in cash.)
How to Apply
STEP 1
Purchase an Application Form
Click on Sign Up and first register on the SCDL Apply Online Portal
Login to purchase application form & fill it up
Application Forms are available online and offline
Pay course fee immediately after purchasing form and reserve your seat
STEP 2
Registration
Upload your passport size recent colour photograph, Govt. Photo Identity Proof, Academic Records, your signature & Work Exp. Certificates
Applicants applying under Defence Category have to produce: Proof of service certificate / discharge book / dependent certificate
STEP 3
Fee Payment
Submit your complete program fee immediately from your Apply Online login or your Student Login as per timelines specified and confirm your seat.
At Symbiosis Centre for Distance Learning, this program equips you with Lean Six Sigma Green Belt tools and AI-powered techniques to improve efficiency and reduce defects. We prepare you for roles in quality improvement, operations, and continuous improvement initiatives.
Certificate
The Certificate in Lean Six Sigma Green Belt with AI will be awarded to learners who:
Successfully complete all assessments
Pass the computer-based examination
Submit and pass the prescribed case study
Fulfill all academic and administrative requirements as per SCDL norms