- 具有AI模型訓練和推理的經驗
- 對嵌入式系統的基本知識
- 熟悉Python編程
觀眾
- AI開發人員
- 嵌入式工程師
- Robotics工程師
NVIDIA Jetson是一個強大的平台，用於在邊緣設備上部署AI模型，實現高效率的實時處理。
這個由講師主導的現場培訓（在線或現場）旨在對希望優化和部署AI模型以用於邊緣應用的中級AI開發人員、嵌入式工程師和機器人工程師進行NVIDIA Jetson平台的培訓。
培訓結束時，參與者將能夠：
- 了解邊緣AI和NVIDIA Jetson硬件的基本原理。
- 優化AI模型以便在邊緣設備上部署。
- 使用TensorRT加速深度學習推理。
- 使用JetPack SDK和ONNX Runtime部署AI模型。
課程格式
- 互動講座和討論。
- 大量練習和實踐。
- 在實驗室環境中進行動手實施。
課程定制選項
- 要請求定制此課程的培訓，請聯繫我們進行安排。
- 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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