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Duration 14 hours
Course Outline
Introduction to Huawei's AI Ecosystem
- Overview of Ascend AI hardware: 310, 910, and 910B
- Key components: MindSpore, CANN, and AscendCL
- Market positioning and architectural principles
CANN's Function within Huawei's AI Stack
- Defining CANN: SDK purpose and internal layers
- ATC, TBE, and AscendCL: Model compilation and execution
- CANN's role in inference optimization and deployment
MindSpore Overview and Architecture
- Training and inference workflows within MindSpore
- Graph mode, PyNative, and hardware abstraction
- Integration with Ascend NPU through the CANN backend
AI Lifecycle on Ascend: From Training to Deployment
- Model creation in MindSpore or conversion from other frameworks
- Exporting and compiling models via ATC
- Deploying on Ascend hardware using OM models and AscendCL
Comparison with Alternative AI Stacks
- MindSpore versus PyTorch and TensorFlow: Focus and positioning
- Deployment workflows on Ascend compared to GPU-based stacks
- Enterprise opportunities and constraints
Enterprise Integration Scenarios
- Applications in smart manufacturing, government AI, and telecommunications
- Considerations regarding scalability, compliance, and ecosystem
- Hybrid cloud/on-premise deployment leveraging the Huawei stack
Conclusion and Future Directions
Requirements
- Familiarity with AI workflows or platform architectures
- Foundational knowledge of model training and deployment
- No previous hands-on experience with CANN or MindSpore is necessary
Target Audience
- AI platform assessors and infrastructure architects
- AI/ML DevOps specialists and pipeline integrators
- 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 2600 € + VAT*
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