Course Outline

Introduction to CANN and Ascend AI Processors

  • What is CANN? Role in Huawei’s AI compute stack
  • Overview of Ascend processor architecture (310, 910, etc.)
  • Supported AI frameworks and toolchain overview

Model Conversion and Compilation

  • Using the ATC tool for model conversion (TensorFlow, PyTorch, ONNX)
  • Creating and validating OM model files
  • Handling unsupported operators and common conversion issues

Deploying with MindSpore and Other Frameworks

  • Deploying models with MindSpore Lite
  • Integrating OM models with Python APIs or C++ SDKs
  • Working with Ascend Model Manager

Performance Optimization and Profiling

  • Understanding AI Core, memory, and tiling optimizations
  • Profiling model execution with CANN tools
  • Best practices for improving inference speed and resource usage

Error Handling and Debugging

  • Common deployment errors and their resolution
  • Reading logs and using the error diagnosis tool
  • Unit testing and functional validation of deployed models

Edge and Cloud Deployment Scenarios

  • Deploying to Ascend 310 for edge applications
  • Integration with cloud-based APIs and microservices
  • Real-world case studies in computer vision and NLP

Summary and Next Steps

Requirements

  • Experience with Python-based deep learning frameworks such as TensorFlow or PyTorch
  • Understanding of neural network architectures and model training workflows
  • Basic familiarity with Linux CLI and scripting

Audience

  • AI engineers working with model deployment
  • Machine learning practitioners targeting hardware acceleration
  • Deep learning developers building inference solutions
 14 Hours

Delivery Options

Private Group Training

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  • 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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