Imagine a scenario where your AI models execute faster, train with greater intelligence, and deploy smoothly across both edge and cloud environments. Huawei Ascend makes this reality achievable.
These instructor-led programs reveal the full capabilities of Ascend AI processors, steering engineers through practical exercises involving MindSpore, model compression, and chip-level optimization.
Training is conducted via interactive online live sessions using a remote desktop, or as in-person live training in Gaia, featuring laboratories that tackle real-world production workloads.
In-person sessions can be hosted at your facilities in Gaia or organized at a NobleProg corporate training centre in Gaia, supporting a collaborative, team-oriented learning environment.
Also referred to as Ascend AI, Huawei Ascend 910, or Ascend Computing, this training enables you to surpass generic AI hardware and achieve purpose-built performance.
NobleProg – Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This instructor-led programme on Gaia guides intermediate AI engineers in constructing and optimising neural network models using the Huawei Ascend platform and CANN toolkit. Learners will configure their environments, develop applications with MindSpore, and execute deployments to edge or cloud settings.
This live, instructor-led training on Gaia delves into Huawei's AI stack, covering the spectrum from the CANN SDK to the MindSpore framework. It supports both beginners and intermediate professionals in understanding how these elements integrate on Ascend hardware for lifecycle management and deployment.
This instructor-led session in Gaia focuses on deploying and optimizing CV and NLP models via the CANN SDK on Ascend hardware. Participants will gain the skills to convert models, integrate them into live pipelines, and boost inference performance for real-time detection and analysis.
This live, instructor-led training in Gaia provides advanced developers with the essential skills to construct, deploy, and optimize custom AI operators. Participants will gain mastery over the integration of CANN TIK and Apache TVM, enabling sophisticated optimization and scheduling on Huawei Ascend hardware to achieve real-world performance gains.
This instructor-led training in Gaia provides an introduction to CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models leveraging CANN and MindSpore. Hands-on exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.
This instructor-led live course in Gaia explores the fundamental principles and practical skills required to deploy AI models on Ascend edge devices using the CANN toolkit, enabling participants to master compilation, optimization, and management within constrained environments.
This live training in Gaia introduces the CANN toolkit for AI framework developers. Participants will learn to configure environments, convert models, and deploy applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, covering the complete workflow from training to inference.
Master the optimization of AI workloads on Ascend, Biren, and Cambricon through this practical training in Gaia. You will learn to benchmark models, uncover performance bottlenecks, and apply graph, kernel, and operator-level optimizations. Additionally, you will tune deployment pipelines to boost throughput and minimize latency across these leading platforms.
Elevate neural network inference performance on Ascend AI processors through this advanced, instructor-led training in Gaia. Delve into the CANN runtime architecture, utilising the Graph Engine, TIK, and TVM for profiling, custom operator creation, and resolving memory bottlenecks.
Migrate CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Gaia. This instructor-led course guides advanced programmers through code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.
This live training in Gaia provides intermediate AI developers with the skills to deploy models on Ascend processors using the CANN toolkit. The course covers converting frameworks such as PyTorch and TensorFlow, optimising performance, and troubleshooting issues to ensure efficient edge and cloud inference.
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