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Quality 4.0: Manufacturing Innovation with AI

Course Details

Duration: 3 Hours
Instructional Material
Video Lessons
Online Self Paced

Enhance your Strategic decision making around the use of key AI technologies.

By completing this course, you will learn:

Course Highlights:

Motivations to Pursue a Quality 4.0 Certification

About the Course

Ideal Candidates

Course Highlights:

Breakdown of Traditional Quality Control Methods:

Smart Manufacturing:

Evolution of Modern Quality Control:

The Technologies:

Manufacturing Big Data:

  1. How AI tools are applied to solve complex problems
  2. How to Drive innovation in manufacturing
  3. Understand the challenges posed by manufacturing big data
  4. Limitations of traditional quality control systems
  5. Advantages of learning quality control systems

-Manufacturing technicians, engineers, managers and directors
-Professionals interested in smart manufacturing
-Professionals interested in learning how machine learning can be applied to drive innovation.
Requirements: Manufacturing background. No programming or machine learning background is required.

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

Up to 50% Discount Available for Students.

  1. Technologies
  2. Building blocks
  3. Characteristics
  4. Research areas
  1. Trends
  2. Case study
  3. Limitations
  1. Definitions
  2. Objectives
  3. Areas of knowledge
  1. 10V’s
  2. Data sets for binary classification of quality

Introduction to
Project Selection

  1. Problem solving strategies and paradigms
  1. Artificial intelligence
  2. Cloud storage and computing
  3. Industrial internet of things and cyber physical systems

The Rise of Quality 4.0:

Introduction Quality 4.0: Manufacturing Innovation with AI

About the Course

Enhance your Strategic decision making around the use of key AI technologies. 

By completing this course, you will learn: 

  • How AI tools are applied to solve complex problems
  • How to Drive innovation in manufacturing
  • Understand the challenges posed by manufacturing big data
  • Limitations of traditional quality control systems
  • Advantages of learning quality control systems

Course Highlights:

  • Smart Manufacturing
    • Technologies
    • Building blocks
    • Characteristics
    • Research areas
  • Manufacturing big data
    • 10V’s
    • Data sets for binary classification of quality
  • Evolution of modern quality control
    • Problem solving strategies and paradigms
  • Breakdown of traditional quality control methods
    • Trends
    • Case study
    • Limitations
  • The rise of Quality 4.0
    • Definitions
    • Objectives
    • Areas of knowledge
  • The technologies
    • Artificial intelligence
    • Cloud storage and computing
    • Industrial internet of things and cyber physical systems

Ideal Candidates

-Manufacturing technicians, engineers, managers and directors

-Professionals interested in smart manufacturing

-Professionals interested in learning how machine learning can be applied to drive innovation. 

Requirements: Manufacturing background. No programming or machine learning background is required.

Course Details:

  • Duration: 3 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 $149.99

Certification Process $499.99

Up to 50% Discount Available for Students.