Lean Six Sigma Green Belt Manufacturing Certification

Course Description

This program equips manufacturing professionals with the tools and methodologies of Lean and Six Sigma to drive measurable improvements in product quality, process efficiency, and operational performance. Designed for those working in production, quality, operations, or industrial engineering, the program blends statistical thinking with practical problem-solving to reduce waste and variability in manufacturing workflows.

This curriculum combines asynchronous online instruction with a real-world capstone project. Over the course of 10 weeks of guided learning and a 60-day improvement initiative, learners apply Green Belt-level tools to address manufacturing-specific challenges. Upon successful completion, participants earn a Lean Six Sigma Green Belt certification for the Ira A. Fulton Schools of Engineering at Arizona State University. 

What you will Learn

• Develop a project charter and identify critical-to-quality characteristics using Voice of the Customer.
• Map and assess manufacturing workflows to identify waste and inefficiencies
• Collect, analyze, and interpret manufacturing data to support decision-making.
• Use qualitative and quantitative tools to uncover root causes and define improvement actions.
• Implement process control strategies to sustain long-term manufacturing improvements.
• Align Lean Six Sigma strategies with business goals in a production environment. 

Skills you will Gain

• DMAIC methodology
• Process mapping and root cause analysis
• Statistical analysis for manufacturing data
• Implementation of control plans and standard work
• Leadership of cross-functional improvement projects

Target Audience

• Manufacturing Specialists: Production engineers, quality assurance staff, and line managers focused on product quality and efficiency
• Operations Analysts: Professionals working in lean operations, logistics, or continuous improvement
• Improvement Engineers: Engineers aiming to optimize systems, workflows, and production planning in manufacturing settings

No official prerequisites are required, but participants should have a basic understanding of statistics. 

You can select one of the dates to attend the training when you enroll in the course. 

July 8-November 29, 2026

August 5-December 27, 2026

September 2, 2026-January 24, 2027

November 4, 2026-March 28, 2027

December 2, 2026-April 25, 2027 

January 6-May 30, 2027

February 3-June 27, 2027

March 3-July 25, 2027

 April 7-August 22, 2027

May 5-September 26, 2027