Under the hood of high-performance AI lies CANN (Compute Architecture for Neural Networks) — the software foundation powering Huawei’s Ascend chips and the minds behind them.
These instructor-led courses peel back the layers of the Compute Architecture for Neural Networks, exploring how CANN bridges algorithms and silicon through graph optimization, kernel fusion, and hardware-aware scheduling.
Whether you’re building inference engines, tuning custom operators, or porting deep learning models to run at the edge, you’ll gain practical insight into maximizing performance on Ascend processors.
Train live online via an interactive remote desktop, or join onsite sessions in Nepal — either at your organization’s premises or a NobleProg training center — featuring labs that simulate production-grade acceleration and deployment pipelines.
Also known as Ascend CANN or Huawei CANN, this training equips developers, engineers, and AI infrastructure teams to get the most from hardware-aware intelligence.
NobleProg – Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Huawei Ascend comprises a suite of AI processors engineered for high-performance inference and training workloads.
This instructor-led live training, available in online or onsite formats, targets intermediate AI engineers and data scientists seeking to develop and optimise neural network models leveraging Huawei’s Ascend platform alongside the CANN toolkit.
Upon completion of this training, participants will be equipped to:
Establish and configure the CANN development environment.
Construct AI applications utilizing MindSpore and CloudMatrix workflows.
Enhance performance on Ascend NPUs through custom operators and tiling techniques.
Deploy models across edge or cloud infrastructure.
Course Format
Interactive lectures coupled with group discussions.
Practical application of Huawei Ascend and the CANN toolkit within sample projects.
Guided exercises centred on model construction, training, and deployment.
Customisation Options
For tailored training aligned with your specific infrastructure or datasets, please reach out to us to arrange a bespoke session.
Huawei's AI stack, spanning from the low-level CANN SDK to the high-level MindSpore framework, provides a closely integrated environment for developing and deploying AI solutions, specifically optimized for Ascend hardware.
This instructor-led, live training (available online or onsite) is designed for technical professionals at beginner to intermediate levels who wish to comprehend how the CANN and MindSpore components collaborate to facilitate AI lifecycle management and inform infrastructure decisions.
Upon completion of this training, participants will be equipped to:
Grasp the layered architecture of Huawei's AI compute stack.
Recognise how CANN aids in model optimization and hardware-level deployment.
Assess the MindSpore framework and its toolchain in comparison to industry alternatives.
Place Huawei's AI stack within the context of enterprise or cloud/on-premises environments.
Course Format
Interactive lectures and discussions.
Live system demonstrations and case-based walkthroughs.
Optional guided labs covering the model flow from MindSpore to CANN.
Course Customization Options
For those seeking a customized training version of this course, please reach out to us to make arrangements.
The CANN SDK (Compute Architecture for Neural Networks) delivers robust deployment and optimization capabilities for real-time AI applications in computer vision and NLP, particularly on Huawei Ascend hardware.
This instructor-led, live training (available online or onsite) targets intermediate-level AI professionals seeking to build, deploy, and optimize vision and language models using the CANN SDK for production-grade solutions.
Upon completion of this training, participants will be equipped to:
Deploy and optimize CV and NLP models leveraging CANN and AscendCL.
Utilize CANN utilities to convert models and seamlessly integrate them into active pipelines.
Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment environments.
Course Format
Interactive lectures combined with practical demonstrations.
Hands-on labs focusing on model deployment and performance profiling.
Live pipeline design exercises utilizing real-world CV and NLP use cases.
Customization Options
To request a customized training session for this course, please contact us to make arrangements.
CANN TIK (Tensor Instruction Kernel) and Apache TVM facilitate advanced optimization and customization of AI model operators for Huawei Ascend hardware.
This instructor-led live training, available both online and onsite, is designed for advanced-level system developers looking to build, deploy, and tune custom operators for AI models by leveraging CANN’s TIK programming model and TVM compiler integration.
Upon completion of this training, participants will be capable of:
Writing and testing custom AI operators utilizing the TIK DSL for Ascend processors.
Integrating custom operations into the CANN runtime and execution graph.
Employing TVM for operator scheduling, auto-tuning, and benchmarking.
Debugging and optimizing instruction-level performance for custom computational patterns.
Course Format
Interactive lectures and demonstrations.
Practical coding exercises for operators using TIK and TVM pipelines.
Testing and tuning on Ascend hardware or simulators.
Course Customization Options
For inquiries regarding customized training for this course, please get in touch with us to arrange it.
The Huawei Ascend CANN toolkit facilitates robust AI inference on edge devices like the Ascend 310. It offers critical tools for compiling, optimizing, and deploying models in environments with limited compute and memory resources.
This instructor-led live training, available online or onsite, is designed for intermediate-level AI developers and integrators looking to deploy and optimize models on Ascend edge devices using the CANN toolchain.
Upon completing this training, participants will be equipped to:
Prepare and convert AI models for the Ascend 310 using CANN tools.
Construct lightweight inference pipelines leveraging MindSpore Lite and AscendCL.
Enhance model performance in environments with restricted compute and memory.
Deploy and monitor AI applications in practical, real-world edge scenarios.
Format of the Course
Interactive lectures and demonstrations.
Practical lab sessions focusing on edge-specific models and scenarios.
Live deployment examples on virtual or physical edge hardware.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
CANN (Compute Architecture for Neural Networks) serves as Huawei’s AI computing toolkit designed to compile, optimize, and deploy AI models on Ascend AI processors.
This instructor-led live training, available either online or onsite, targets beginner-level AI developers keen on understanding CANN's role within the model lifecycle—from training to deployment—and its interaction with frameworks such as MindSpore, TensorFlow, and PyTorch.
Upon completing this training, participants will be able to:
Grasp the purpose and architecture of the CANN toolkit.
Configure a development environment integrating CANN and MindSpore.
Convert and deploy a basic AI model onto Ascend hardware.
Build foundational knowledge for future CANN optimization or integration initiatives.
Course Format
Interactive lectures and discussions.
Practical hands-on labs focused on simple model deployment.
Step-by-step walkthroughs of the CANN toolchain and integration points.
Course Customization Options
To arrange customized training for this course, please get in touch with us.
The CANN SDK (Compute Architecture for Neural Networks) serves as Huawei’s foundational AI compute framework, empowering developers to fine-tune and maximise the performance of neural networks deployed on Ascend AI processors.
This instructor-led training session, available both online and onsite, is designed for advanced-level AI developers and system engineers who aim to enhance inference performance by leveraging CANN’s sophisticated toolset. Key components include the Graph Engine, TIK, and custom operator development.
Upon completing this training, participants will be equipped to:
Gain a comprehensive understanding of CANN’s runtime architecture and performance lifecycle.
Utilise profiling tools and the Graph Engine for thorough performance analysis and optimisation.
Develop and optimise custom operators using TIK and TVM.
Address memory bottlenecks and significantly improve model throughput.
Course Format
Engaging interactive lectures and discussions.
Practical hands-on labs featuring real-time profiling and operator tuning.
CANN (Compute Architecture for Neural Networks) serves as Huawei's AI compute stack, designed for deploying and optimizing AI models on Ascend AI processors.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level AI developers and engineers who aim to efficiently deploy trained AI models onto Huawei Ascend hardware using the CANN toolkit along with tools such as MindSpore, TensorFlow, or PyTorch.
Upon completing this training, participants will be able to:
Gain insight into the CANN architecture and its significance within the AI deployment pipeline.
Convert and adapt models from widely-used frameworks into formats compatible with Ascend.
Utilize tools like ATC, OM model conversion, and MindSpore for inference tasks in both edge and cloud environments.
Troubleshoot deployment challenges and optimize performance on Ascend hardware.
Course Format
Interactive lectures accompanied by live demonstrations.
Practical lab exercises employing CANN tools along with Ascend simulators or physical devices.
Real-world deployment scenarios based on actual AI models.
Customization Options
For a customized version of this training, please contact us to make arrangements.
Online Ascend CANN training in Nepal, CANN training courses in Nepal, Weekend Ascend CANN courses in Nepal, Evening CANN training in Nepal, CANN instructor-led in Nepal, CANN instructor-led in Nepal, Huawei CANN on-site in Nepal, Huawei CANN classes in Nepal, Weekend Ascend CANN training in Nepal, Ascend CANN boot camp in Nepal, Ascend CANN trainer in Nepal, Huawei CANN coaching in Nepal, Online CANN training in Nepal, Ascend CANN private courses in Nepal, Evening CANN courses in Nepal, Ascend CANN instructor in Nepal, CANN one on one training in Nepal
