About Course:

The Six Sigma Green Belt & Generative AI course combines the power of Six Sigma methodologies with Artificial Intelligence to drive process efficiency and operational excellence. This advanced course is designed to help professionals understand how to reduce waste, improve quality, and streamline business processes using automated solutions. By integrating Six Sigma’s data-driven approach with AI’s ability to automate repetitive tasks, organizations can enhance productivity, reduce human error, and deliver consistent, high-quality outcomes.

This course provides a comprehensive overview of Six Sigma principles, including DMAIC (Define, Measure, Analyze, Improve, Control) frameworks, while offering hands-on experience in implementing RPA to automate routine business processes. Whether you are a quality management professional, a process analyst, or someone looking to boost operational efficiency, this course empowers you with the tools and techniques to lead process improvements while leveraging automation to maximize business outcomes.

Course Objective:

• 
  Learn the core concepts of Lean Six Sigma and AI and how they complement each other. Understand how to combine data-driven decision-making with intelligent automation for better outcomes.
  
  


• 
  Apply Lean Six Sigma strategies to reduce waste and improve process accuracy.
   Learn to design, deploy, and manage automated workflows across business operations.
  


•  Discover how Lean Six Sigma and RPA work together to minimize defects and human error. Improve process speed and accuracy by identifying areas suitable for automation.


• 
   Understand how to deliver long-term operational efficiency and continuous improvement.
  
  

Featured of Course:

What you'll Learn

Course Outline

Module 1: Six Sigma and Robotic Process Automation (RPA)

Module 2: Overview: Six Sigma and the Organization

Module 3: Define Phase

Module 4: Measure Phase

Module 5: Hash Functions

Module 6: Analyze Phase

Module 7: Improve Phase

Module 8: Control Phase

Module 9: Robotic Process Automation (An Overview)

Module 10: ARPA Insights: Benefits, Considerations, and Deployment Strategies

Module 11: Case Study

Module 12: Variables & Activities

Module 13: Projects

Module 14: Final Assessment