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Course Outline
Introduction to Edge AI in Industrial Automation
- Overview of Edge AI and its industrial applications
- Benefits and challenges of adopting Edge AI in industrial environments
- Case studies highlighting successful Edge AI applications in manufacturing
Setting Up the Edge AI Environment
- Installation and configuration of Edge AI tools
- Configuration of 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
- Development of AI models for equipment health monitoring
- Implementation of 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
- Implementation of vision-based quality control systems
- Hands-on exercises for quality control applications
Process Optimization with Edge AI
- Introduction to process optimization
- Utilization of AI for real-time process monitoring and control
- Implementation of AI-driven decision-making systems
- Hands-on exercises for process optimization
Deploying and Managing Edge AI Solutions
- Deployment of AI models on industrial edge devices
- Monitoring and maintenance of Edge AI systems
- Troubleshooting and optimization of 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
Requirements
- A solid understanding of AI and machine learning concepts
- Practical experience with industrial automation systems
- Fundamental programming skills (Python is recommended)
Target Audience
- Industrial engineers
- Manufacturing professionals
- AI developers
14 Hours
Testimonials (1)
That we can cover advance topic and work with real-life example
