Beneath the surface of high-performance artificial intelligence lies CANN (Compute Architecture for Neural Networks) — the software backbone driving Huawei’s Ascend chips and the teams that leverage them.
These instructor-led programs dive deep into the Compute Architecture for Neural Networks, illustrating how CANN connects algorithms with silicon through graph optimization, kernel fusion, and hardware-aware scheduling.
Whether you are developing inference engines, refining custom operators, or migrating deep learning models for edge execution, you will acquire practical insights into optimizing performance on Ascend processors.
Participate in live online training via an interactive remote desktop, or attend onsite sessions in Durban — either at your facility or a NobleProg training centre — including labs that replicate production-grade acceleration and deployment workflows.
Recognised as Ascend CANN or Huawei CANN, this programme equips developers, engineers, and AI infrastructure teams to extract the maximum value from hardware-aware intelligence.
NobleProg – Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led course for Durban helps intermediate AI engineers construct and enhance neural network models via the Huawei Ascend platform and CANN toolkit. Attendees will learn to set up environments, create applications using MindSpore, and implement deployments in edge or cloud contexts.
This live, instructor-led training in Durban examines Huawei's AI ecosystem, ranging from the CANN SDK to the MindSpore framework. It is designed to assist beginner and intermediate professionals in comprehending how these components function together on Ascend hardware to streamline lifecycle management and deployment strategies.
This instructor-led training in Durban focuses on deploying and optimising CV and NLP models using the CANN SDK for Ascend hardware. Participants will learn to convert models, integrate them into live pipelines, and enhance inference performance for real-time detection and analysis.
This instructor-led live training in Durban empowers advanced developers with the proficiency required to build, deploy, and fine-tune custom AI operators. Participants will gain mastery over CANN TIK and Apache TVM integration, enabling advanced optimisation and scheduling on Huawei Ascend hardware to achieve real-world performance gains.
This live, instructor-led course in Durban delves into the foundational aspects and practical techniques for deploying AI models on Ascend edge devices via the CANN toolkit. It equips participants with the necessary skills to compile, optimise, and manage models within constrained computational environments.
This live training for Durban presents the CANN toolkit to AI framework developers. You will learn to establish environments, convert models, and deploy applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, covering the entire workflow from training to inference.
Maximize neural network inference performance on Ascend AI processors with this advanced, instructor-led training in Durban. Delve into CANN's runtime architecture, utilising the Graph Engine, TIK, and TVM to master profiling, custom operator development, and resolving memory bottlenecks.
This live training in Durban guides intermediate AI developers through deploying models on Ascend processors using the CANN toolkit. Learn to convert frameworks like PyTorch and TensorFlow, optimize performance, and debug issues for efficient edge and cloud inference scenarios.
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