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Course Outline

Introduction to the Huawei Ascend Platform

  • Examination of Ascend architecture and its ecosystem
  • Overview of MindSpore and CANN functionalities
  • Analysis of use cases and industry significance

Configuring the Development Environment

  • Installation procedures for the CANN toolkit and MindSpore
  • Utilizing ModelArts and CloudMatrix for orchestrating projects
  • Validating the setup with example models

Model Development using MindSpore

  • Defining models and executing training within MindSpore
  • Managing data pipelines and formatting datasets
  • Converting models to Ascend-compatible formats

Optimizing Performance on Ascend

  • Implementing operator fusion and custom kernels
  • Strategies for tiling and AI Core scheduling
  • Utilizing benchmarking and profiling utilities

Deployment Methodologies

  • Weighing the tradeoffs between edge and cloud deployment
  • Employing the MindX SDK for deployment tasks
  • Integration processes with CloudMatrix workflows

Debugging and Monitoring Protocols

  • Leveraging Profiler and AiD for system tracing
  • Resolving runtime failures and errors
  • Tracking resource consumption and throughput metrics

Case Studies and Laboratory Integration

  • End-to-end pipeline development using MindSpore
  • Laboratory exercise: Constructing, optimizing, and deploying a model on Ascend
  • Comparative performance analysis against alternative platforms

Conclusions and Future Directions

Requirements

  • Basic comprehension of neural networks and AI processes
  • Proficiency in Python coding
  • Knowledge of model training and deployment workflows

Intended Participants

  • AI engineers
  • Data scientists operating within the Huawei AI ecosystem
  • ML developers utilizing Ascend and MindSpore
 21 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny

Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers

Upcoming Courses

Developing AI Applications with Huawei Ascend and CANN

2026-10-09 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

Developing AI Applications with Huawei Ascend and CANN

2026-10-23 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

Developing AI Applications with Huawei Ascend and CANN

2026-11-06 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

Developing AI Applications with Huawei Ascend and CANN

2026-11-20 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

Developing AI Applications with Huawei Ascend and CANN

2026-12-04 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

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