Course Outline

Introduction to Huawei’s AI Ecosystem for Government

  • Ascend AI hardware: 310, 910, and 910B chips
  • MindSpore, CANN, and supporting tools
  • AI development workflow: from training to deployment

Understanding the CANN Toolkit for Government

  • What is CANN and its significance for government applications
  • Overview of core components (ATC, AscendCL, operator libraries)
  • The role of CANN in AI inference pipelines for government use cases

Getting Started with MindSpore and CANN for Government

  • Setting up the environment (MindSpore + CANN + Python)
  • Training a basic model in MindSpore for government projects
  • Exporting and converting the model using ATC for deployment in government systems

Running Inference on Ascend Devices for Government

  • Using the OM model with AscendCL or Python APIs for government applications
  • Basic input/output preprocessing for government data
  • Validating model outputs in a government context

Working with Other Frameworks for Government

  • Overview of support for TensorFlow, PyTorch, and ONNX in government projects
  • Supported operators and limitations for government use
  • Simple model conversion demo (e.g., from ONNX to OM) for government applications

Exploring the CANN and MindSpore Developer Ecosystem for Government

  • Key resources: documentation, GitHub repositories, sample code for government developers
  • MindSpore Hub and model zoo overview for government use
  • Community forums, events, and support channels for government professionals

Summary and Next Steps for Government

Requirements

  • A foundational understanding of machine learning and deep learning concepts
  • Basic programming experience with Python
  • No prior experience with CANN or Ascend hardware is necessary

Audience

  • Machine learning developers investigating deployment workflows for government and other public sector applications
  • Students or researchers new to Huawei’s AI ecosystem, particularly those focused on public sector research
  • AI framework contributors and hobbyists interested in model acceleration techniques for government use cases
 7 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Introduction to CANN for AI Framework Developers

2026-01-12 09:30
7 hours
Lincoln, NE - Regus – U.S. Bank Building
$ 1630 (Online)
$ 1630 (Classroom)

Introduction to CANN for AI Framework Developers

2026-01-26 09:30
7 hours
Little Rock, AR - Regus - Regions Center
$ 1630 (Online)
$ 1630 (Classroom)

Introduction to CANN for AI Framework Developers

2026-02-09 09:30
7 hours
Louisville, KY – Regus at MET Building
$ 1630 (Online)
$ 1630 (Classroom)

Introduction to CANN for AI Framework Developers

2026-02-23 09:30
7 hours
Madison, WI - Regus - Madison East - Park Bank Plaza
$ 1630 (Online)
$ 1630 (Classroom)

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