Beneath the surface of high-performance AI lies CANN (Compute Architecture for Neural Networks) — the core software platform driving Huawei’s Ascend chips and the intelligence they host.
Our instructor-led training delves deep into the Compute Architecture for Neural Networks, examining how CANN connects algorithms to silicon via 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, these sessions provide actionable insights into achieving peak performance on Ascend processors.
Participate in live online training through an interactive remote desktop, or attend in-person workshops in Sofia — either at your site or a NobleProg training center — which include hands-on labs replicating production-level acceleration and deployment workflows.
Also referred to as Ascend CANN or Huawei CANN, this program prepares developers, engineers, and AI infrastructure teams to fully harness hardware-aware intelligence.
NobleProg – Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This instructor-led course in Sofia assists intermediate AI engineers in constructing and optimizing neural network models via the Huawei Ascend platform and CANN toolkit. Learners will set up environments, build applications using MindSpore, and manage deployment to edge or cloud settings.
This live, instructor-led training in Sofia delves into Huawei's AI stack, covering the spectrum from the CANN SDK to the MindSpore framework. It is designed to assist beginner and intermediate professionals in understanding how these components synergize on Ascend hardware to streamline lifecycle management and deployment.
This instructor-led training on Sofia focuses on deploying and optimizing CV and NLP models using the CANN SDK for Ascend hardware. Learners will master model conversion, integration into live pipelines, and enhancing inference performance for real-time detection and analysis.
This instructor-led live training in Sofia empowers advanced developers to build, deploy, and optimize custom AI operators. Learners will master the integration of CANN TIK and Apache TVM, enabling sophisticated optimization and scheduling on Huawei Ascend hardware for superior real-world performance.
This live, instructor-led training in Sofia delves into the core principles and practical fundamentals of deploying AI models on Ascend edge devices via the CANN toolkit, enabling participants to develop essential skills for compiling, optimizing, and managing resource-constrained environments.
This live training in Sofia introduces the CANN toolkit to AI framework developers. Learn to set up environments, convert models, and deploy applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, covering the full workflow from training to inference.
Maximize neural network inference efficiency on Ascend AI processors through this advanced, instructor-led training in Sofia. Delve into CANN's runtime architecture, utilizing the Graph Engine, TIK, and TVM for profiling, custom operator creation, and resolving memory bottlenecks.
This live training in Sofia assists intermediate AI developers in deploying models on Ascend processors through the CANN toolkit. You will learn to convert frameworks like PyTorch and TensorFlow, optimize performance, and troubleshoot issues to achieve efficient edge and cloud inference.
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