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
- The learner will be able to gain additional insights from the predictions generated by a model, enhancing decision-making capabilities.
- The learner will be able to formulate and model decision-making problems in a structured and formal manner, enabling effective problem-solving.
- The learner will be able to implement a systematic approach to control cyber-physical systems, demonstrating proficiency in managing complex manufacturing processes.
LessonConfiguration of requirement management tool & PLM based on NLP + ML processing of specification documents
Course Content
LessonAI-driven control of counting machines
Course Content
LessonModel based control of dynamic adaptive production
Course Content
LessonControl and Decision making quiz of AI for Manufacturing
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI)