Course Outline

Introduction to AI in Manufacturing

  • Trends in smart manufacturing and Industry 4.0
  • Overview of AI use cases in operations
  • Key performance metrics and KPIs

Data Collection and Preparation

  • Sources of manufacturing data (sensors, PLC, MES)
  • Cleaning and formatting time-series data
  • Using Pandas and Jupyter for preprocessing

Descriptive and Diagnostic Analytics

  • Data exploration and visualization
  • Correlation analysis and root cause identification
  • Custom dashboards with Power BI

Machine Learning for Process Optimization

  • Supervised and unsupervised learning
  • Clustering for pattern discovery
  • Regression and classification for prediction

AI for Predictive Maintenance and Quality

  • Anomaly detection and predictive alerts
  • Failure prediction models
  • Improving product quality through model insights

Real-Time Analytics and Feedback Loops

  • Streaming data and real-time processing
  • Integrating with SCADA/MES systems
  • Feedback for automatic process adjustments

Case Study and Capstone Project

  • Hands-on analysis of real-world data sets
  • Designing and validating an optimization model
  • Final presentation of AI-driven improvement plan

Summary and Next Steps

Requirements

  • An understanding of manufacturing processes or operations management
  • Experience with data analysis or Excel-based reporting
  • Basic familiarity with programming or scripting

Audience

  • Process engineers
  • Plant supervisors
  • Lean Six Sigma professionals
 21 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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