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Course Outline
Introduction to AI in Manufacturing
- Current trends in smart manufacturing and Industry 4.0
- Overview of AI applications in operational contexts
- Essential performance metrics and KPIs
Data Acquisition and Preparation
- Manufacturing data sources (sensors, PLC, MES)
- Cleaning and structuring time-series data
- Preprocessing using Pandas and Jupyter
Descriptive and Diagnostic Analytics
- Data exploration and visualization techniques
- Correlation studies and root cause analysis
- Building custom dashboards with Power BI
Machine Learning for Process Optimization
- Supervised and unsupervised learning methodologies
- Clustering techniques for pattern identification
- Regression and classification methods for forecasting
AI for Predictive Maintenance and Quality Control
- Anomaly detection and predictive alert systems
- Developing failure prediction models
- Enhancing product quality via model-driven insights
Real-Time Analytics and Feedback Mechanisms
- Handling streaming data and real-time processing
- Integration with SCADA/MES systems
- Enabling automatic process adjustments through feedback loops
Case Study and Capstone Project
- Practical analysis of real-world datasets
- Designing and validating an optimization model
- Presenting a final AI-driven improvement strategy
Summary and Future Directions
Requirements
- Familiarity with manufacturing processes or operational management principles
- Practical experience in data analysis or Excel-based reporting
- Foundational knowledge of programming or scripting languages
Target Audience
- Process engineers
- Plant supervisors
- Lean Six Sigma specialists
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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