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

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 3200 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

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Upcoming Courses

CANN for Edge AI Deployment

2026-02-19 09:30
14 hours
Bilbao

CANN for Edge AI Deployment

2026-03-05 09:30
14 hours
Madrid - Chamartín Business Area

CANN for Edge AI Deployment

2026-03-19 09:30
14 hours
Malaga City Center

CANN for Edge AI Deployment

2026-04-02 09:30
14 hours
Barcelona City

CANN for Edge AI Deployment

2026-04-16 09:30
14 hours
Valencian Community

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Edge AI
Edge AI
CANN
CANN