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 Duration 14 hours

Course Outline

Foundamentals of Edge AI and the Ascend 310

  • Edge AI landscape: prevailing trends, limitations, and use cases
  • Architecture of the Huawei Ascend 310 chip and its supported toolchain
  • The role of CANN within the edge AI deployment ecosystem

Model Readiness and Transformation

  • Exporting trained models from TensorFlow, PyTorch, and MindSpore
  • Utilizing ATC to translate models into OM format for Ascend hardware
  • Addressing unsupported operations and employing lightweight conversion tactics

Building Inference Pipelines via AscendCL

  • Executing OM models on Ascend 310 using the AscendCL API
  • Input/output preprocessing, memory management, and device control mechanisms
  • Integration within embedded containers or lightweight runtime settings

Optimizing for Edge Limitations

  • Minimizing model footprint and adjusting precision (FP16, INT8)
  • Employing the CANN profiler to pinpoint performance bottlenecks
  • Orchestrating memory layout and data streaming for enhanced throughput

Deployment with MindSpore Lite

  • Leveraging the MindSpore Lite runtime for mobile and embedded platforms
  • Evaluating MindSpore Lite against raw AscendCL pipelines
  • Packaging inference models for device-specific implementation

Real-World Edge Deployment Scenarios and Case Analyses

  • Case analysis: Smart camera featuring an object detection model on Ascend 310
  • Case analysis: Real-time classification within an IoT sensor hub
  • Supervising and updating models deployed at the edge

Recap and Future Directions

Requirements

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

Target Audience

  • IoT solution developers
  • Embedded AI engineers
  • Edge system integrators and AI deployment specialists

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

That we can cover advance topic and work with real-life example

Ruben Khachaturyan - iris-GmbH infrared & intelligent sensors
Course - Advanced Edge AI Techniques

Upcoming Courses

CANN for Edge AI Deployment

2026-11-25 09:30
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CANN for Edge AI Deployment

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CANN for Edge AI Deployment

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CANN for Edge AI Deployment

2027-01-06 09:30
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Strasbourg, Kibitzenau Station
2550 EUR (Online)
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CANN for Edge AI Deployment

2027-01-20 09:30
14 hours
Orléans, Central Station
2550 EUR (Online)
2950 EUR (Classroom)

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