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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
- Using ATC to convert models to OM format for Ascend devices
- Handling unsupported ops and lightweight conversion strategies
Developing Inference Pipelines with AscendCL
- Using the AscendCL API to run OM models on Ascend 310
- Input/output preprocessing, memory handling, and device control
- Deploying within embedded containers or lightweight runtime environments
Optimization for Edge Constraints
- Reducing model size, precision tuning (FP16, INT8)
- Using the CANN profiler to identify bottlenecks
- Managing memory layout and data streaming for performance
Deploying with MindSpore Lite
- Using MindSpore Lite runtime for mobile and embedded targets
- Comparing MindSpore Lite with raw AscendCL pipeline
- Packaging inference models for device-specific deployment
Edge Deployment Scenarios and Case Studies
- Case study: smart camera with object detection model on 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
- Basic 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
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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