AI-Powered Statistical Process Control & Process Capability

Learn SPC and Cpk the way real engineers use them — now enhanced with AI prompts for faster analysis and better decisions.

Are you a quality engineer, supplier quality engineer, manufacturing engineer, or fresh graduate who wants to move beyond theory and learn how SPC and Process Capability are actually used in real factories?

Many engineers know the words: control chart, common cause, special cause, Cp, Cpk, process capability, and corrective action. But when the production line has variation, a supplier submits unstable data, or a customer asks for evidence of process control, many professionals still struggle to decide what the data really means and what action to take.

This course is designed to close that gap.

SPC, Cpk & AI for Manufacturing Quality teaches you how to use Statistical Process Control and Process Capability as practical decision-making tools for manufacturing quality improvement. You will learn how to identify critical process control points, construct and analyze SPC charts, interpret process variation, calculate and interpret Cp and Cpk, and recommend improvement actions based on real manufacturing scenarios.

This is not a theory-only course. It is built from more than 30 years of manufacturing quality and supplier quality experience, using practical examples, Excel templates, case studies, and structured thinking that you can apply immediately at work.

The upgraded version of this course now includes practical Generative AI applications. You will learn how to use AI prompts to identify SPC control points, analyze SPC charts, calculate process capability indices, interpret Cpk results, and recommend process improvement actions. AI is positioned as your additional quality engineering assistant — helping you analyze faster, think more clearly, and prepare structured reports more efficiently.

You will also experience an AI role play exercise that helps you practise real workplace decision-making in a manufacturing quality scenario.

By the end of this course, you will be able to move from firefighting and guessing to structured, data-driven quality control. You will understand not only how to calculate SPC and Cpk, but how to interpret the results and decide what action is needed.

This course is ideal for quality engineers, supplier quality engineers, manufacturing engineers, process engineers, production professionals, and fresh graduates who want practical, real-world quality engineering skills enhanced with AI.

If you want only textbook theory, this may not be the course for you. But if you want practical SPC, Process Capability, and AI-assisted quality decision-making that you can apply in real manufacturing work, this course is designed for you.