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Duration 14 hours
Course Outline
Fundamentals of Edge AI and the Ascend 310
- Overview of Edge AI: key trends, limitations, and use cases
- Architecture of the Huawei Ascend 310 chip and its compatible toolchain
- Role of CANN in the edge AI deployment ecosystem
Model Preparation and Transformation
- Exporting trained models from TensorFlow, PyTorch, and MindSpore
- Utilizing ATC to convert models into OM format for Ascend devices
- Managing unsupported operators and applying lightweight conversion techniques
Creating Inference Pipelines with AscendCL
- Executing OM models on Ascend 310 using the AscendCL API
- Input/output preprocessing, memory management, and device control
- Deployment within embedded containers or lightweight runtime environments
Optimizing for Edge Limitations
- Minimizing model size and adjusting precision (FP16, INT8)
- Identifying performance bottlenecks using the CANN profiler
- Optimizing memory layout and data streaming for enhanced performance
Deployment via MindSpore Lite
- Leveraging the MindSpore Lite runtime for mobile and embedded targets
- Comparing MindSpore Lite with direct AscendCL pipelines
- Packaging inference models for device-specific deployment
Edge Deployment Scenarios and Case Studies
- Case study: Smart camera implementing object detection on Ascend 310
- Case study: Real-time classification within an IoT sensor hub
- Monitoring and updating models deployed at the edge
Conclusion and Future Steps
Requirements
- Practical experience with AI model development or deployment processes
- Foundational understanding of embedded systems, Linux, and Python
- Working knowledge of deep learning frameworks like TensorFlow or PyTorch
Target Audience
- IoT solution developers
- Embedded AI engineers
- Edge system integrators and AI deployment specialists
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 3200 € + VAT*
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