Course Outline

Introduction to Edge AI in Industrial Automation

  • Overview of Edge AI and its applications in industry
  • Benefits and challenges of using Edge AI in industrial settings
  • Case studies of successful Edge AI applications in manufacturing

Setting Up the Edge AI Environment

  • Installing and configuring Edge AI tools
  • Setting up industrial sensors and data collection systems
  • Introduction to relevant Edge AI frameworks and libraries
  • Hands-on exercises for environment setup

Predictive Maintenance with Edge AI

  • Introduction to predictive maintenance
  • Developing AI models for equipment health monitoring
  • Implementing real-time fault detection and prediction
  • Hands-on exercises for predictive maintenance

Quality Control Using Edge AI

  • Overview of quality control in manufacturing
  • AI techniques for defect detection and classification
  • Implementing vision-based quality control systems
  • Hands-on exercises for quality control applications

Process Optimization with Edge AI

  • Introduction to process optimization
  • Using AI for real-time process monitoring and control
  • Implementing AI-driven decision-making systems
  • Hands-on exercises for process optimization

Deploying and Managing Edge AI Solutions

  • Deploying AI models on industrial edge devices
  • Monitoring and maintaining Edge AI systems
  • Troubleshooting and optimizing deployed models
  • Hands-on exercises for deployment and management

Tools and Frameworks for Industrial Edge AI

  • Overview of tools and frameworks (e.g., TensorFlow Lite, OpenVINO)
  • Using TensorFlow Lite for industrial AI applications
  • Hands-on exercises with optimization tools

Real-World Applications and Case Studies

  • Review of successful industrial Edge AI projects
  • Discussion of industry-specific use cases
  • Hands-on project for building and optimizing a real-world industrial AI application

Summary and Next Steps


  • An understanding of AI and machine learning concepts
  • Experience with industrial automation systems
  • Basic programming skills (Python recommended)


  • Industrial engineers
  • Manufacturing professionals
  • AI developers
 14 Hours

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Price per participant

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