Focusing on key AI technologies, such as machine learning and deep learning. These series of courses will help managers to develop a vision for Quality 4.0 and engineers to develop and implement intelligent quality systems. The course content is based on theory, empirical evidence, ad-hoc set of techniques, and the author’s experience studying complex manufacturing systems. We have made a conscious effort to keep the math and coding aspects at levels that are easily understandable for most engineers. Thus, it is possible to focus more on the practical aspects of selecting and solving engineering intractable problems through AI.
Through an engaging mix of introductions to key technologies, manufacturing insights, published case examples, and your own business-focused project, your learning journey will bring into sharp focus the reality of central Quality 4.0 today and how it can be harnessed to drive innovation.
The areas of knowledge are: programming, smart manufacturing, quality control, statistics, optimization, machine learning, and a 7-step novel problem solving strategy that guides the Quality 4.0 deployment.
The learning experience is divided into four sequential courses: (1) Introduction to manufacturing innovation with AI, (2) Quality 4.0: green belt; (3) Quality 4.0: black belt; and (4) Quality 4.0; master black belt.
Quality 4.0 Curriculum is Offered in a Variety of Ways That Best Suits the Needs of Individuals and Organizations! Online Self Paced, Onsite and Virtual Training Options are Available to Meet Your Needs.
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