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 Duration 14 hours

Course Outline

Introduction to Edge AI and the Ascend 310

  • Overview of Edge AI: emerging trends, constraints, and applications
  • Architecture of the Huawei Ascend 310 chip and its supported toolchain
  • The role of CANN within the edge AI deployment ecosystem

Model Preparation and Conversion

  • Exporting trained models from TensorFlow, PyTorch, and MindSpore
  • Utilizing ATC to convert models into OM format for Ascend devices
  • Addressing unsupported operations and applying lightweight conversion strategies

Developing Inference Pipelines with AscendCL

  • Executing OM models on Ascend 310 via the AscendCL API
  • Input/output preprocessing, memory management, and device control
  • Deployment within embedded containers or lightweight runtime environments

Optimization for Edge Constraints

  • Reducing model size and adjusting precision (FP16, INT8)
  • Identifying performance bottlenecks using the CANN profiler
  • Optimizing memory layout and data streaming for enhanced performance

Deploying with MindSpore Lite

  • Leveraging the MindSpore Lite runtime for mobile and embedded targets
  • Comparing MindSpore Lite against raw AscendCL pipelines
  • Packaging inference models for device-specific deployment

Edge Deployment Scenarios and Case Studies

  • Case study: Implementing an object detection model on a smart camera with Ascend 310
  • Case study: Real-time classification within an IoT sensor hub
  • Monitoring and updating models deployed at the edge

Summary and Next Steps

Requirements

  • Prior experience with AI model development or deployment workflows
  • Foundational understanding of embedded systems, Linux, and Python
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch

Intended 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.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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