Quality 4.0: Manufacturing Innovation with AI

About the Course

Master fundamental technical competences in machine learning, enabling you to develop a quality control learning system using the support vector machine algorithm. 

By completing this course, you will learn how to:

• Address the challenges posed by manufacturing big data
• Identify features containing the quality pattern and how this information is used for process redesign
• Identify which problems can be solved using AI and how to evaluate their likelihood of success

Course Highlights:

• Binary classification of quality
  • Machine learning theory
  • Pattern analyses
• Learning quality systems
  • Definition
  • Applications
  • Advantages over traditional statistical quality control
• Evolved problem solving strategy
  • Identify
  • Observe
  • Data
  • Learn
  • Redesign
• Python installation
• Public data sets access
• Linear classification
  • Support vector machine
• Project Selection Advise

Ideal Candidates

-Manufacturing technicians, engineers, managers and directors

-Professionals interested in smart manufacturing

-Professionals interested in learning how to apply machine learning and it’s applications to drive innovation.

PreRequisite: Yellow Belt, Basic understanding of statistics, probability, linear algebra. (No programming experience is required)

Course Details:

• Duration: 9 Hours
• Online Self Paced
• Video Lessons
• Instructional Material

Want to get Certified?  In order to receive a certificate for this course you must work with an assigned mentor on a project.

*Online Course $299.99

*Certification Process $999.99

Up to 50% Discount Available for Students.

*Courses are structured in a progression and you must start at the Yellow Belt level and progress to Green, Black and Master Black Belts. In that order, No exceptions!