Techniki graficzne (Adobe Photoshop, Adobe Illustrator)培訓

Huawei Ascend is a family of AI processors designed for high-performance inference and training.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit.

By the end of this training, participants will be able to:

• Set up and configure the CANN development environment.
• Develop AI applications using MindSpore and CloudMatrix workflows.
• Optimize performance on Ascend NPUs using custom operators and tiling.
• Deploy models to edge or cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
• Guided exercises focused on model building, training, and deployment.

Course Customization Options

• To request a customized training for this course based on your infrastructure or datasets, please contact us to arrange.

CloudMatrix 是華為統一的 AI 開發和部署平台，旨在支持可擴展的生產級推理管道。

這項由講師指導的培訓（線上或線下）面向希望使用 CloudMatrix 平台（整合 CANN 和 MindSpore）部署和監控 AI 模型的初級到中級 AI 專業人士。

培訓結束後，參與者將能夠：

• 使用 CloudMatrix 進行模型封裝、部署和服務。
• 為 Ascend 芯片組轉換和優化模型。
• 為即時和批量推理任務設置管道。
• 在生產環境中監控部署並調整性能。

課程形式

• 互動式講座和討論。
• 使用 CloudMatrix 進行實際部署場景的實操。
• 專注於轉換、優化和擴展的指導練習。

課程定制選項

• 如需根據您的 AI 基礎設施或雲環境定制此課程，請聯繫我們安排。

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

By the end of this training, participants will be able to:

• Understand Biren GPU architecture and memory hierarchy.
• Set up the development environment and use Biren’s programming model.
• Translate and optimize CUDA-style code for Biren platforms.
• Apply performance tuning and debugging techniques.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Biren SDK in sample GPU workloads.
• Guided exercises focused on porting and performance tuning.

Course Customization Options

• To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.

Cambricon MLUs (Machine Learning Units) are specialized AI chips optimized for inference and training in edge and datacenter scenarios.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build and deploy AI models using the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

By the end of this training, participants will be able to:

• Set up and configure the BANGPy and Neuware development environments.
• Develop and optimize Python- and C++-based models for Cambricon MLUs.
• Deploy models to edge and data center devices running Neuware runtime.
• Integrate ML workflows with MLU-specific acceleration features.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of BANGPy and Neuware for development and deployment.
• Guided exercises focused on optimization, integration, and testing.

Course Customization Options

• To request a customized training for this course based on your Cambricon device model or use case, please contact us to arrange.

這種由講師指導的現場培訓 澳門（在線或遠端）面向希望安裝、配置、管理和排除 CUDA 環境故障的初級系統管理員和 IT 專業人員。

在培訓結束時，參與者將能夠：

• 瞭解 CUDA 的架構、元件和功能。
• 安裝和配置 CUDA 環境。
• 管理和優化 CUDA 資源。
• 調試和排查常見的 CUDA 問題。

這是一個由講師指導的，在澳門（線上或線下）進行的培訓，針對希望使用CUDA來構建在NVIDIA GPU上並行運行的Python應用程式的中級開發者。

在培訓結束時，參與者將能夠：

• 使用Numba編譯器來加速在NVIDIA GPU上運行的Python應用程式。
• 創建、編譯並啟動自定義的CUDA核心。
• 管理GPU的記憶體。
• 將基於CPU的應用程式轉換為GPU加速的應用程式。

Chinese GPU architectures such as Huawei Ascend, Biren, and Cambricon MLUs offer CUDA alternatives tailored for local AI and HPC markets.

This instructor-led, live training (online or onsite) is aimed at advanced-level GPU programmers and infrastructure specialists who wish to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

By the end of this training, participants will be able to:

• Evaluate compatibility of existing CUDA workloads with Chinese chip alternatives.
• Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
• Compare performance and identify optimization points across platforms.
• Address practical challenges in cross-architecture support and deployment.

Format of the Course

• Interactive lecture and discussion.
• Hands-on code translation and performance comparison labs.
• Guided exercises focused on multi-GPU adaptation strategies.

Course Customization Options

• To request a customized training for this course based on your platform or CUDA project, please contact us to arrange.

此講師指導的現場培訓<本地>（在線或現場）面向希望使用Maya創建3D動畫的Web設計人員。

在本次培訓結束時，參與者將能夠：

• 在Maya中創建逼真的模型和紋理。
• 為專案製作動畫並渲染以實現高品質播放。
• 類比自然效果，如水和煙霧。

WebGL（Web圖形庫）是一種JavaScript API，用於在不使用插件的情況下在Web瀏覽器中呈現3D圖形。

在這個以講師為主導的現場培訓中，參與者將學習如何使用3D圖形生成逼真的計算機圖像，同時逐步創建在瀏覽器中運行的動畫3D應用程序。

在培訓結束時，參與者將能夠：

• 了解並使用 WebGL 的各種功能，包括網格、變換、相機、材質、照明和動畫
• 使用WebGL為對象設置動畫
• 使用WebGL創建3D對象

聽眾

• 開發商

課程形式

• 部分講座，部分討論，練習和繁重的實踐練習

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each offering unique acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI infrastructure and performance engineers who wish to optimize model inference and training workflows across multiple Chinese AI chip platforms.

By the end of this training, participants will be able to:

• Benchmark models on Ascend, Biren, and Cambricon platforms.
• Identify system bottlenecks and memory/compute inefficiencies.
• Apply graph-level, kernel-level, and operator-level optimizations.
• Tune deployment pipelines to improve throughput and latency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of profiling and optimization tools on each platform.
• Guided exercises focused on practical tuning scenarios.

Course Customization Options

• To request a customized training for this course based on your performance environment or model type, please contact us to arrange.