- 具有AI模型训练和推理的经验
- 对嵌入式系统的基本知识
- 熟悉Python编程
观众
- AI开发人员
- 嵌入式工程师
- Robotics工程师
NVIDIA Jetson是一个强大的平台，用于在边缘设备上部署AI模型，实现高效率的实时处理。
这个由讲师主导的现场培训（在线或现场）旨在对希望优化和部署AI模型以用于边缘应用的中级AI开发人员、嵌入式工程师和机器人工程师进行NVIDIA Jetson平台的培训。
培训结束时，参与者将能够：
- 了解边缘AI和NVIDIA Jetson硬件的基本原理。
- 优化AI模型以便在边缘设备上部署。
- 使用TensorRT加速深度学习推理。
- 使用JetPack SDK和ONNX Runtime部署AI模型。
课程格式
- 互动讲座和讨论。
- 大量练习和实践。
- 在实验室环境中进行动手实施。
课程定制选项
- 要请求定制此课程的培训，请联系我们进行安排。
- 边缘AI应用概述
- NVIDIA Jetson硬件介绍
- JetPack SDK组件和开发环境
设置开发环境
- 安装JetPack SDK并设置Jetson板
- 了解TensorRT和模型优化
- 配置运行时环境
针对边缘部署优化AI模型
- 模型量化和修剪技术
- 使用TensorRT进行模型加速
- 将模型转换为ONNX格式
在Jetson设备上部署AI模型
- 使用TensorRT进行推断
- 将AI模型与实时应用程序集成
- 优化性能和降低延迟
Computer Vision和Deep Learning在Jetson上
- 部署图像分类和目标检测模型
- 使用AI进行实时视频分析
- 实施AI驱动的机器人应用程序
Edge AI的安全性和性能优化
- 确保边缘设备上的AI模型
- 功率效率和热管理
- 在Jetson平台上扩展AI应用程序
项目实施和现实世界Use Case的案例
- 构建AI驱动的物联网解决方案
- 在自主系统中部署AI
- 边缘设备上AI的案例研究
总结和结论
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