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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
Requirements
- An understanding of AI and machine learning concepts
- Experience with industrial automation systems
- Basic programming skills (Python recommended)
Audience
- Industrial engineers
- Manufacturing professionals
- AI developers
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- 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 €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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