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Course Outline
Introduction to Edge AI and Ascend 310.
- Overview of Edge AI: trends, constraints, and applications.
- Huawei Ascend 310 chip architecture and supported toolchain.
- Positioning CANN within the edge AI deployment stack.
Model Preparation and Conversion.
- Exporting trained models from TensorFlow, PyTorch, and MindSpore.
- Utilising ATC to convert models to OM format for Ascend devices.
- Handling unsupported operations and employing lightweight conversion strategies.
Developing Inference Pipelines with AscendCL.
- Using the AscendCL API to execute OM models on the Ascend 310.
- Input/output preprocessing, memory handling, and device control.
- Deployment within embedded containers or lightweight runtime environments.
Optimisation for Edge Constraints.
- Reducing model size and tuning precision (FP16, INT8).
- Using the CANN profiler to identify bottlenecks.
- Managing memory layout and data streaming for improved performance.
Deploying with MindSpore Lite.
- Using the MindSpore Lite runtime for mobile and embedded targets.
- Comparing MindSpore Lite with a raw AscendCL pipeline.
- Packaging inference models for device-specific deployment.
Edge Deployment Scenarios and Case Studies.
- Case study: smart camera with an object detection model on the Ascend 310.
- Case study: real-time classification in an IoT sensor hub.
- Monitoring and updating deployed models at the edge.
Summary and Next Steps.
Requirements
- Experience with AI model development or deployment workflows.
- Fundamental knowledge of embedded systems, Linux, and Python.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Audience
- IoT solution developers.
- Embedded AI engineers.
- Edge system integrators and AI deployment specialists.
14 Hours
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 2600 € + VAT*
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