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Duration 14 hours
Course Outline
Overview of Huawei’s AI Ecosystem
- Introduction to Ascend AI hardware: 310, 910, and 910B
- Key high-level elements: MindSpore, CANN, and AscendCL
- Market positioning and core architectural principles
CANN’s Function within Huawei’s AI Architecture
- Defining CANN: SDK objectives and internal layering
- ATC, TBE, and AscendCL: Processes for model compilation and execution
- How CANN enables inference optimization and deployment strategies
MindSpore: Architecture and Key Features
- Training and inference workflows within MindSpore
- Graph mode, PyNative, and hardware abstraction layers
- Connecting with Ascend NPUs through the CANN backend
Navigating the AI Lifecycle on Ascend: From Training to Production
- Building models in MindSpore or porting from alternative frameworks
- Model export and compilation via ATC
- Deploying on Ascend hardware using OM models and AscendCL
Benchmarking Against Competing AI Stacks
- MindSpore compared to PyTorch and TensorFlow: Strategic focus and market role
- Deployment processes on Ascend versus GPU-centric stacks
- Pros and cons for enterprise adoption
Enterprise Integration Contexts
- Applications in intelligent manufacturing, public sector AI, and telecommunications
- Considerations regarding scalability, regulatory compliance, and ecosystem fit
- Hybrid cloud/on-premises deployment strategies leveraging the Huawei stack
Recap and Path Forward
Requirements
- General knowledge of AI workflows or platform structures
- Foundational grasp of model training and deployment processes
- No previous practical experience with CANN or MindSpore is necessary
Target Audience
- AI platform analysts and infrastructure architects
- AI/ML DevOps specialists and pipeline integration experts
- Technology leaders and strategic decision-makers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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