Introduction
Artificial Intelligence is a key driver of Industry 4.0, enabling smart factories, predictive maintenance, automation, and advanced quality control. This course explores the integration of AI into industrial environments. Participants will analyze data from sensors, machines, and production lines to develop predictive and optimization models. By the end, learners will understand how AI enhances operational efficiency and reliability in modern manufacturing systems.
Course Objectives
- Understand AI applications in manufacturing
- Analyze industrial data and sensor streams
- Build predictive maintenance models
- Learn optimization and automation strategies
- Study Industry 4.0 technologies
Target Audience
- Industrial engineers
- Data scientists
- Manufacturing managers
- Automation specialists
- Students in industrial technology
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Industry 4.0 Overview• Smart factories
• IoT integration
• Data sources
• Industry case studies
• Hands-on: Sensor data exploration0 - Day 2: Predictive Maintenance• Failure modes
• Time-series modeling
• Anomaly detection
• Maintenance scheduling
• Hands-on: Predictive model0 - Day 3: Quality Control with AI• Image-based inspection
• Statistical quality analysis
• Computer vision systems
• Reducing false alarms
• Hands-on: Quality detection model0 - Day 4: Production Optimization• Process optimization
• Inventory forecasting
• Simulation techniques
• Constraint-based planning
• Hands-on: Production modeling0 - Day 5: Future of Smart Manufacturing• Human–machine collaboration
• Digital twins
• Autonomous production systems
• Safety and compliance
• Capstone industrial project0
Instructor
Lessons:
