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 Overview0 Items• Smart factories
• IoT integration
• Data sources
• Industry case studies
• Hands-on: Sensor data exploration - Day 2: Predictive Maintenance0 Items• Failure modes
• Time-series modeling
• Anomaly detection
• Maintenance scheduling
• Hands-on: Predictive model - Day 3: Quality Control with AI0 Items• Image-based inspection
• Statistical quality analysis
• Computer vision systems
• Reducing false alarms
• Hands-on: Quality detection model - Day 4: Production Optimization0 Items• Process optimization
• Inventory forecasting
• Simulation techniques
• Constraint-based planning
• Hands-on: Production modeling - Day 5: Future of Smart Manufacturing0 Items• Human–machine collaboration
• Digital twins
• Autonomous production systems
• Safety and compliance
• Capstone industrial project
Instructor
Lessons:
