Atlanta, GA – Regus at Colony Squar

1201 Peachtree Street NE, Suite 200, Atlanta, United States, 30361

The venue is centrally located in Midtown Atlanta within the prominent Colony Square complex at 1201 Peachtree Street NE, easily accessed by car via I‑75/85 or GA‑400, with several parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), around 15 miles south, a taxi or rideshare typically takes 20–30 minutes north along I‑75/85 N. Public transit users can take MARTA Rail to the Arts Center or Midtown stations (0.3–0.5 miles away) and walk easily, and numerous MARTA bus routes along Peachtree Street stop directly outside the entrance.

Atlanta, GA – The Proscenium

1170 Peachtree Street NE, Atlanta, United States, 30309

The venue is located in the heart of Midtown Atlanta in the Proscenium high–rise at 1170 Peachtree Street NE, easily accessible by car via I‑75/85 and GA‑400 with several parking garages nearby. Visitors arriving from Hartsfield–Jackson Atlanta International Airport (ATL), about 15 miles south, can expect a taxi or rideshare ride taking 20–30 minutes via I‑75/85 North. Public transit is seamless with MARTA Rail service; the Arts Center and Midtown stations are within walking distance (approximately 0.3–0.4 miles), and multiple MARTA bus routes also serve Peachtree Street.

Atlanta, GA – Regus at One Hartsfield

100 Hartsfield Centre Parkway, Suite 500, Atlanta, United States, 30354

The venue is located in the One Hartsfield Center office building, adjacent to Hartsfield–Jackson Atlanta International Airport, easily reached by car via I‑75/I‑85 or GA‑138, with abundant on-site parking. Visitors arriving from ATL airport can walk or take a shuttle to the building, or opt for a quick 2–3‑minute taxi or rideshare ride. Public transit users can board MARTA from the Airport Station and ride one stop to College Park Station, then catch a connecting shuttle or enjoy a brief walk of about half a mile.

Atlanta, GA – Regus at Peachtree

260 Peachtree Street NW, Suite 2200, Atlanta, United States, 30303

The venue is situated in the iconic Coastal States Building at 260 Peachtree Street in downtown Atlanta, accessible by car via I‑75/85 or I‑20 with convenient parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), about 12 miles south, a taxi or rideshare along I‑75/85 North takes approximately 15–20 minutes. For public transit, MARTA rail users can disembark at Five Points Station and walk 0.5 miles northeast, or exit at Peachtree Center Station and walk two blocks north—both routes offering easy access.

Subcategories (1)

Category for CANN

CANN

Explore Our Courses

Developing AI Applications with Huawei Ascend and CANN

 21 Hours

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.
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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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AI Inference and Deployment with CloudMatrix

 21 Hours

CloudMatrix is Huawei’s unified AI development and deployment platform designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform with CANN and MindSpore integration.

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

  • Use CloudMatrix for model packaging, deployment, and serving.
  • Convert and optimize models for Ascend chipsets.
  • Set up pipelines for real-time and batch inference tasks.
  • Monitor deployments and tune performance in production settings.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of CloudMatrix with real deployment scenarios.
  • Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

  • To request a customized training for this course based on your AI infrastructure or cloud environment, 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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Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

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.
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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.
Read more...

Migrating CUDA Applications to Chinese GPU Architectures

 21 Hours

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.
Read more...

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.
Read more...

Last Updated:

Upcoming Courses

CANN for Edge AI Deployment

2025-08-18 9:30 am
14 hours
Atlanta, GA – Regus at Peachtree
$ 2703 (Online)
$ 2703 (Classroom)

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

2025-09-01 9:30 am
14 hours
Atlanta, GA – Regus at Colony Squar
$ 2703 (Online)
$ 2703 (Classroom)

Deploying AI Models with CANN and Ascend AI Processors

2025-09-15 9:30 am
14 hours
Atlanta, GA – The Proscenium
$ 2703 (Online)
$ 2703 (Classroom)

Optimizing Neural Network Performance with CANN SDK

2025-09-29 9:30 am
14 hours
Atlanta, GA – Regus at One Hartsfield
$ 2703 (Online)
$ 2703 (Classroom)

AI Inference and Deployment with CloudMatrix

2025-10-13 9:30 am
21 hours
Atlanta, GA – Regus at Peachtree
$ 4054 (Online)
$ 4054 (Classroom)

AI Inference and Deployment with CloudMatrix

2025-10-27 9:30 am
21 hours
Atlanta, GA – Regus at Colony Squar
$ 4054 (Online)
$ 4054 (Classroom)

Other regions in the US

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These courses are also available in other countries

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