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Control and decision making of AI for Manufacturing

By Philips Consumer Lifestyle

Type of course:

Digital learning, Path

Language:

EN

Duration:

1 hour, 15 minutes

Workload:

6 hours

Proficiency:

Advanced

Target:

Professionals, Students

This Learning Path delves deep into the realm of AI-driven manufacturing, covering key topics such as explainable defect detection, recipe recommendation for wood-based panels, configuration of requirements management tools, and Product Lifecycle Management (PLM) based on Natural Language Processing (NLP) and Machine Learning (ML) processing of specification documents. Additionally, you’ll explore cutting-edge techniques for AI-driven control of counting machines and model-based control of dynamic adaptive production processes. Whether you’re a seasoned manufacturing professional or just starting your journey in this field, this Learning Path will empower you to make informed decisions, optimize processes, and drive innovation through AI.


Learning outcomes

  1. The learner will be able to gain additional insights from the predictions generated by a model, enhancing decision-making capabilities.
  2. The learner will be able to formulate and model decision-making problems in a structured and formal manner, enabling effective problem-solving.
  3. The learner will be able to implement a systematic approach to control cyber-physical systems, demonstrating proficiency in managing complex manufacturing processes.
LessonControl and Decision making quiz of AI for Manufacturing

Topics

Digital Transformation, Artificial Intelligence (AI)

Provided by

Content created in 2023
+223 enrolled
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Course Includes

  • 1 Quiz
  • 1 Certificate of achievement

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