Black Belt
Quality 4.0: Manufacturing Innovation with AI
About the Course
Upon completion of the course, you will gain advanced technical competences to solve more complex problems using the random forest and neural networks algorithms. You will learn how to develop a multiple classifier system to optimize prediction. You will learn how to develop a sustainable solution with the capacity to automatically learn new and transient sources of variation. Overall, you will gain skills to solve complex problems and drive innovation.
Notes: Four three-hour sessions, hands-on, limited to 8 participants
Course Highlights:
- Project Selection
- Feature Selection
- Model Selection
- Data PreProcessing Techniques
- Metalearning
- Non-linear Classifiers
– Random Forest
– XG Boost
Ideal Candidates
-Manufacturing 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: Green Belt, Basic understanding of probability, statistics, linear algebra. and programming.
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 $199.99
Certification Process $1,499.99
Up to 50% Discount Available for Students.