AI in Manufacturing Industry Training in Copenhagen, Denmark

This training introduces participants to the foundational concepts of Artificial Intelligence and its transformative role in Industry 4.0. It covers key technologies, tools, and real-world applications relevant to smart manufacturing, such as predictive maintenance, quality control, and computer vision. The course blends conceptual understanding with practical insights through case studies and tool demonstrations.

Foundations of AI and Industry 4.0

1. Introduction to Artificial Intelligence
• AI, ML, Deep Learning: Definitions and Differences
• Supervised, Unsupervised, and Reinforcement Learning
2. The Role of AI in Industry 4.0
• Smart Manufacturing & Industry 4.0 overview
• Cyber-Physical Systems, IoT, and digital transformation case studies
3. Enabling Technologies
• Sensors, Edge Computing, Cloud Platforms
• Digital Twins, Data Acquisition
• Industrial Data Lakes & Pipelines
4. Tools & Platforms Overview
• Popular AI platforms (e.g., TensorFlow, Azure AI, AWS)
• Intro to No-Code/Low-Code AI tools for manufacturing
AI Applications in Manufacturing

1. Predictive Maintenance
• Sensor data analytics for equipment health
• Time Series Forecasting, Anomaly Detection
• Workflow tools and implementation strategies
2. Quality Control and Computer Vision
• Image classification and defect detection on production lines
• Camera-based systems for quality assurance
• Case examples and tools used
3. Wrap-up and Roadmap
• Recap and open discussion
• Roadmap for AI implementation in operations
• Resources and next steps