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 Duration 7 hours

Course Outline

Introduction to the Huawei AI Ecosystem

  • Ascend AI hardware overview: including 310, 910, and 910B chips
  • An overview of MindSpore, CANN, and associated support tools
  • The AI development pipeline: from training stages to final deployment

Demystifying the CANN Toolkit

  • Defining CANN and explaining its significance in AI computing
  • A high-level view of core components, including ATC, AscendCL, and operator libraries
  • The specific role CANN plays within AI inference pipelines

Initial Setup with MindSpore and CANN

  • Configuring the development environment with MindSpore, CANN, and Python
  • Training a basic model using MindSpore
  • Exporting and converting the trained model via ATC

Executing Inference on Ascend Devices

  • Utilizing the OM model through AscendCL or Python APIs
  • Handling basic input and output preprocessing tasks
  • Methods for validating the accuracy of model outputs

Integrating Other Frameworks

  • An overview of CANN’s support for TensorFlow, PyTorch, and ONNX
  • Discussion on supported operators and known limitations
  • A practical demonstration of simple model conversion, such as from ONNX to OM

Navigating the CANN and MindSpore Developer Community

  • Essential resources: official documentation, GitHub repositories, and sample code libraries
  • An introduction to MindSpore Hub and the model zoo
  • Accessing community forums, industry events, and official support channels

Recap and Future Steps

Requirements

  • A foundational grasp of machine learning and deep learning principles
  • Prior programming experience using Python
  • No previous hands-on experience with CANN or Ascend hardware is necessary

Target Audience

  • Machine learning developers looking to explore various deployment workflows
  • Students or researchers who are new to the Huawei AI ecosystem
  • AI framework contributors and enthusiasts interested in enhancing model acceleration

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 1600 € + VAT*

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