Imagine accelerating your AI models, enhancing their training efficiency, and achieving seamless deployment from the edge to the cloud. Huawei Ascend makes this vision a reality.
These instructor-led programs harness the full capabilities of Ascend AI processors, guiding engineers through practical projects involving MindSpore, model compression, and chip-level optimisation.
Training is available through live online sessions via an interactive remote desktop, or as on-site live workshops in Durban, featuring labs that focus on real-world production workloads.
On-site sessions can be conducted at your own facilities in Durban or at a NobleProg corporate training centre in Durban, fostering collaborative, team-based learning environments.
Also referred to as Ascend AI, Huawei Ascend 910, or Ascend Computing, this training enables you to move beyond generic AI hardware and leverage purpose-built performance.
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 instructor-led training in Durban introduces CloudMatrix for scalable AI inference. It covers deploying, optimising, and monitoring models using CANN and MindSpore. Hands-on exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.
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.
Optimise AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Durban. Gain the ability to benchmark models, pinpoint bottlenecks, and apply graph, kernel, and operator-level optimisations. Fine-tune deployment pipelines to boost throughput and latency performance across these leading platforms.
Optimise neural network inference performance on Ascend AI processors with this advanced, instructor-led training in Durban. Delve into CANN's runtime architecture, leveraging the Graph Engine, TIK, and TVM for profiling, custom operator development, and resolving memory bottlenecks.
Transition CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Durban. This live course supports advanced developers in code translation and performance tuning, featuring practical labs for migrating CUDA codebases to new SDKs.
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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