CANN Training in Delaware

Under the hood of high-performance AI lies CANN (Compute Architecture for Neural Networks) — the software foundation powering Huawei’s Ascend chips and the minds behind them.

These instructor-led courses peel back the layers of the Compute Architecture for Neural Networks, exploring how CANN bridges algorithms and silicon through graph optimization, kernel fusion, and hardware-aware scheduling.

Whether you’re building inference engines, tuning custom operators, or porting deep learning models to run at the edge, you’ll gain practical insight into maximizing performance on Ascend processors.

Train live online via an interactive remote desktop, or join onsite sessions in Delaware — either at your organization’s premises or a NobleProg training center — featuring labs that simulate production-grade acceleration and deployment pipelines.

Also known as Ascend CANN or Huawei CANN, this training equips developers, engineers, and AI infrastructure teams to get the most from hardware-aware intelligence.

NobleProg – Your Local Training Provider

NobleProg Training Place, City Wilmington, DE – Regus at Brandywine Building

1000 North West Street, Suite 1200, Wilmington, United States, 19801

The venue is located in the prominent Brandywine Building in downtown Wilmington, easily reachable by car via I‑95 or I‑395, with several public parking garages nearby. Visitors arriving from Baltimore/Washington International Airport (BWI), about 25 miles southwest, can expect a taxi or rideshare ride of approximately 30–35 minutes via I‑95 North. Public transit is also an option: Wilmington Train Station is within a 5–10 minute walk, and local DART First State buses stop along Market and King Streets just steps from the entrance.

NobleProg Training Place, City Dover, Delaware

101 W Loockerman St, Dover, United States, 19904

The venue at 101 W Loockerman Street is in downtown Dover, one block from Route 13, with convenient street and municipal parking. From Wilmington or Philadelphia, drive south via I‑95 to US‑13 and enter downtown; travel time is about 1 to 1½ hours. Public transit options include DART First State buses (routes 101 and 301) with stops near Loockerman Street, placing the venue a short walk away for attendees without a car.

Explore Our Courses

Developing AI Applications with Huawei Ascend and CANN

21 Hours

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

14 Hours

CANN SDK for Computer Vision and NLP Pipelines

14 Hours

Building Custom AI Operators with CANN TIK and TVM

14 Hours

CANN for Edge AI Deployment

14 Hours

Introduction to CANN for AI Framework Developers

7 Hours

Optimizing Neural Network Performance with CANN SDK

14 Hours

Deploying AI Models with CANN and Ascend AI Processors

14 Hours

Last Updated: 2025-07-23