Imagine AI models that process data faster, learn more efficiently, and integrate smoothly across the entire spectrum from the edge to the cloud. Huawei Ascend delivers exactly this capability.
Through our instructor-led programs, you will tap into the full power of Ascend AI processors. The curriculum guides engineers through practical, hands-on projects involving MindSpore, model compression, and chip-level optimization strategies.
Training is conducted via live online sessions using an interactive remote desktop platform, or through onsite live training in Bangkok. These sessions include labs designed around real-world production workloads.
Onsite training can take place at your own facilities in Bangkok or be arranged at a NobleProg corporate training center in Bangkok, creating an environment conducive to collaborative, team-based learning.
Often referred to as Ascend AI, Huawei Ascend 910, or Ascend Computing, this training empowers you to move beyond standard AI hardware and achieve performance tailored specifically for your needs.
NobleProg – Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This instructor-led training in Bangkok supports intermediate AI engineers in constructing and refining neural network models via the Huawei Ascend platform and CANN toolkit. Participants will learn to configure environments, develop applications using MindSpore, and deploy solutions to edge or cloud settings.
This instructor-led live session in Bangkok provides a deep dive into Huawei's AI infrastructure, covering the spectrum from the CANN SDK to the MindSpore framework. It empowers novice and mid-level professionals to grasp how these components function together on Ascend hardware to streamline lifecycle management and deployment.
This instructor-led training in Bangkok focuses on deploying and optimizing CV and NLP models using the CANN SDK for Ascend hardware. Participants will learn to convert models, integrate them into live pipelines, and improve inference performance for real-time detection and analysis.
This live, instructor-led training in Bangkok empowers advanced developers to build, deploy, and optimize custom AI operators. By mastering the integration of CANN TIK and Apache TVM, participants will achieve superior optimization and scheduling on Huawei Ascend hardware, driving real-world performance enhancements.
This guided training on Bangkok presents CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models utilizing CANN and MindSpore. Practical sessions address packaging, conversion, serving, and performance adjustments for real-time and batch processing.
This live, instructor-led session in Bangkok explores the key principles and practical skills required to deploy AI models on Ascend edge devices using the CANN toolkit, enabling participants to master compiling, optimizing, and managing workloads in resource-constrained settings.
This live session on Bangkok offers an introduction to the CANN toolkit for AI framework developers. Participants will learn to establish environments, transform models, and deploy applications on Ascend hardware utilizing MindSpore, TensorFlow, or PyTorch, covering the entire workflow from training to inference.
Enhance AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Bangkok. Master the skills to benchmark models, pinpoint bottlenecks, and apply graph, kernel, and operator-level optimizations. Additionally, learn to tune deployment pipelines to boost throughput and latency performance across these premier platforms.
Elevate neural network inference performance on Ascend AI processors with this advanced, instructor-led course in Bangkok. Delve into CANN's runtime architecture, utilizing the Graph Engine, TIK, and TVM for comprehensive profiling, custom operator creation, and resolving memory constraints.
Migrate CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Bangkok. 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 session Bangkok guides intermediate AI developers through the process of deploying models on Ascend processors using the CANN toolkit. The course covers converting frameworks like PyTorch and TensorFlow, optimizing performance, and troubleshooting issues to ensure efficient edge and cloud inference.
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