Course Outline
Introduction to Edge AI in Industrial Contexts
- The significance of edge computing within manufacturing
- A comparative analysis with cloud-based AI
- Practical applications in vision, predictive maintenance, and control systems
Hardware Platforms and Device-Level Limitations
- Overview of prevalent edge hardware (Raspberry Pi, NVIDIA Jetson, Intel NUC)
- Considerations regarding processing power, memory, and energy consumption
- Selecting the optimal platform based on application requirements
Model Development and Optimization for Edge Environments
- Techniques for model compression, pruning, and quantization
- Utilizing TensorFlow Lite and ONNX for embedded deployment
- Striking a balance between accuracy and speed in resource-constrained settings
Computer Vision and Sensor Fusion at the Edge
- Edge-based visual inspection and monitoring solutions
- Aggregating data from various sensors (vibration, temperature, cameras)
- Real-time anomaly detection using Edge Impulse
Communication and Data Exchange
- Implementing MQTT for industrial messaging
- Integration with SCADA, OPC-UA, and PLC systems
- Ensuring security and resilience in edge network communications
Deployment and Field Validation
- Packaging and deploying models onto edge devices
- Performance monitoring and update management
- Case study: Real-time decision loops with local actuation
Scaling and Maintaining Edge AI Systems
- Strategies for managing edge devices at scale
- Remote updates and iterative model retraining cycles
- Lifecycle considerations for industrial-grade deployments
Summary and Future Directions
Requirements
- A solid grasp of embedded systems or IoT architectures
- Proficiency in Python or C/C++ programming
- Basic familiarity with machine learning model development
Target Audience
- Embedded software developers
- Industrial IoT engineering teams
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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Testimonials (2)
How to use and explore AI for daily works
Giovani Natalia - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics
That we can cover advance topic and work with real-life example
