Ly Thai To

Level 5, 41A Ly Thai To Street, Hanoi, Vietnam

The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.

Toong IPH

3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam

Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.

UPGEN KEANGNAM

Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam

Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.

Explore Our Courses

Phát triển Ứng dụng AI với Huawei Ascend và CANN

21 Hours

Huawei Ascend là một dòng chip AI được thiết kế cho việc suy luận và đào tạo với hiệu suất cao.

Khóa học này do giảng viên hướng dẫn (trực tuyến hoặc tại chỗ) dành cho các kỹ sư AI trung cấp và nhà khoa học dữ liệu muốn phát triển và tối ưu hóa mô hình mạng nơ-ron sử dụng nền tảng Ascend của Huawei và công cụ CANN.

Tại cuối khóa học này, người tham gia sẽ có thể:

  • Cài đặt và cấu hình môi trường phát triển CANN.
  • Phát triển ứng dụng AI bằng MindSpore và quy trình CloudMatrix.
  • Tối ưu hóa hiệu suất trên Ascend NPU sử dụng các toán tử tùy chỉnh và tiling.
  • Cài đặt mô hình vào môi trường biên hoặc đám mây.

Định dạng của khóa học

  • Buổi giảng dạy tương tác và thảo luận.
  • Sử dụng thực tế Huawei Ascend và công cụ CANN trong các ứng dụng mẫu.
  • Luyện tập có hướng dẫn tập trung vào việc xây dựng, đào tạo và triển khai mô hình.

Tùy chọn Tùy chỉnh Khóa học

  • Để yêu cầu một khóa học tùy chỉnh dựa trên cơ sở hạ tầng hoặc dữ liệu của bạn, vui lòng liên hệ với chúng tôi để sắp xếp.
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Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

 14 Hours

Huawei’s AI stack — from the low-level CANN SDK to the high-level MindSpore framework — offers a tightly integrated AI development and deployment environment optimized for Ascend hardware.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to understand how the CANN and MindSpore components work together to support AI lifecycle management and infrastructure decisions.

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

  • Understand the layered architecture of Huawei’s AI compute stack.
  • Identify how CANN supports model optimization and hardware-level deployment.
  • Evaluate the MindSpore framework and toolchain in relation to industry alternatives.
  • Position Huawei's AI stack within enterprise or cloud/on-prem environments.

Format of the Course

  • Interactive lecture and discussion.
  • Live system demos and case-based walkthroughs.
  • Optional guided labs on model flow from MindSpore to CANN.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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CANN SDK for Computer Vision and NLP Pipelines

 14 Hours

The CANN SDK (Compute Architecture for Neural Networks) provides powerful deployment and optimization tools for real-time AI applications in computer vision and NLP, especially on Huawei Ascend hardware.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI practitioners who wish to build, deploy, and optimize vision and language models using the CANN SDK for production use cases.

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

  • Deploy and optimize CV and NLP models using CANN and AscendCL.
  • Use CANN tools to convert models and integrate them into live pipelines.
  • Optimize inference performance for tasks like detection, classification, and sentiment analysis.
  • Build real-time CV/NLP pipelines for edge or cloud-based deployment scenarios.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on lab with model deployment and performance profiling.
  • Live pipeline design using real CV and NLP use cases.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Building Custom AI Operators with CANN TIK and TVM

 14 Hours

CANN TIK (Tensor Instruction Kernel) and Apache TVM enable advanced optimization and customization of AI model operators for Huawei Ascend hardware.

This instructor-led, live training (online or onsite) is aimed at advanced-level system developers who wish to build, deploy, and tune custom operators for AI models using CANN’s TIK programming model and TVM compiler integration.

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

  • Write and test custom AI operators using the TIK DSL for Ascend processors.
  • Integrate custom ops into the CANN runtime and execution graph.
  • Use TVM for operator scheduling, auto-tuning, and benchmarking.
  • Debug and optimize instruction-level performance for custom computation patterns.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on coding of operators using TIK and TVM pipelines.
  • Testing and tuning on Ascend hardware or simulators.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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CANN for Edge AI Deployment

 14 Hours

Huawei's Ascend CANN toolkit enables powerful AI inference on edge devices such as the Ascend 310. CANN provides essential tools for compiling, optimizing, and deploying models where compute and memory are constrained.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers and integrators who wish to deploy and optimize models on Ascend edge devices using the CANN toolchain.

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

  • Prepare and convert AI models for Ascend 310 using CANN tools.
  • Build lightweight inference pipelines using MindSpore Lite and AscendCL.
  • Optimize model performance for limited compute and memory environments.
  • Deploy and monitor AI applications in real-world edge use cases.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on lab work with edge-specific models and scenarios.
  • Live deployment examples on virtual or physical edge hardware.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Introduction to CANN for AI Framework Developers

 7 Hours

CANN (Compute Architecture for Neural Networks) is Huawei’s AI computing toolkit used to compile, optimize, and deploy AI models on Ascend AI processors.

This instructor-led, live training (online or onsite) is aimed at beginner-level AI developers who wish to understand how CANN fits into the model lifecycle from training to deployment, and how it works with frameworks like MindSpore, TensorFlow, and PyTorch.

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

  • Understand the purpose and architecture of the CANN toolkit.
  • Set up a development environment with CANN and MindSpore.
  • Convert and deploy a simple AI model to Ascend hardware.
  • Gain foundational knowledge for future CANN optimization or integration projects.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs with simple model deployment.
  • Step-by-step walkthrough of the CANN toolchain and integration points.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Optimizing Neural Network Performance with CANN SDK

 14 Hours

CANN SDK (Compute Architecture for Neural Networks) is Huawei’s AI compute foundation that allows developers to fine-tune and optimize the performance of deployed neural networks on Ascend AI processors.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI developers and system engineers who wish to optimize inference performance using CANN’s advanced toolset, including the Graph Engine, TIK, and custom operator development.

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

  • Understand CANN's runtime architecture and performance lifecycle.
  • Use profiling tools and Graph Engine for performance analysis and optimization.
  • Create and optimize custom operators using TIK and TVM.
  • Resolve memory bottlenecks and improve model throughput.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs with real-time profiling and operator tuning.
  • Optimization exercises using edge-case deployment examples.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Deploying AI Models with CANN and Ascend AI Processors

 14 Hours

CANN (Compute Architecture for Neural Networks) is Huawei’s AI compute stack for deploying and optimizing AI models on Ascend AI processors.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers and engineers who wish to deploy trained AI models efficiently to Huawei Ascend hardware using the CANN toolkit and tools such as MindSpore, TensorFlow, or PyTorch.

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

  • Understand the CANN architecture and its role in the AI deployment pipeline.
  • Convert and adapt models from popular frameworks to Ascend-compatible formats.
  • Use tools like ATC, OM model conversion, and MindSpore for edge and cloud inference.
  • Diagnose deployment issues and optimize performance on Ascend hardware.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on lab work using CANN tools and Ascend simulators or devices.
  • Practical deployment scenarios based on real-world AI models.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Last Updated:

Provisional Upcoming Courses (Require 5+ participants)

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

2025-08-25 09:30
14 hours
Toong IPH
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Introduction to CANN for AI Framework Developers

2025-09-08 09:30
7 hours
UPGEN KEANGNAM
101,620,118 VND (Online)
101,620,118 VND (Classroom)

Phát triển Ứng dụng AI với Huawei Ascend và CANN

2025-09-22 09:30
21 hours
Ly Thai To
304,860,354 VND (Online)
304,871,304 VND (Classroom)

Phát triển Ứng dụng AI với Huawei Ascend và CANN

2025-10-06 09:30
21 hours
Toong IPH
304,860,354 VND (Online)
304,860,354 VND (Classroom)

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

2025-10-20 09:30
14 hours
UPGEN KEANGNAM
203,240,236 VND (Online)
203,240,236 VND (Classroom)

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These courses are also available in other countries

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