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Course Outline
Introduction to Edge AI and NVIDIA Jetson for Government
- Overview of edge AI applications for government operations
- Introduction to NVIDIA Jetson hardware for government use
- Components of the JetPack SDK and development environment for government projects
Setting Up the Development Environment for Government
- Installing the JetPack SDK and configuring the Jetson board for government applications
- Understanding TensorRT and model optimization techniques for government use cases
- Configuring the runtime environment to meet government standards
Optimizing AI Models for Edge Deployment in Government
- Model quantization and pruning techniques for efficient deployment in government settings
- Using TensorRT for model acceleration in government applications
- Converting models to ONNX format for interoperability in government systems
Deploying AI Models on Jetson Devices for Government Operations
- Running inference with TensorRT to support real-time decision-making for government
- Integrating AI models into real-time applications for government services
- Optimizing performance and reducing latency in government operations
Computer Vision and Deep Learning on Jetson for Government Applications
- Deploying image classification and object detection models to enhance security and efficiency for government
- Using AI for real-time video analytics to support public safety and infrastructure monitoring for government
- Implementing AI-powered robotics applications for government operations
Edge AI Security and Performance Optimization for Government
- Securing AI models on edge devices to protect sensitive government data
- Ensuring power efficiency and thermal management in government deployments
- Scaling AI applications on Jetson platforms to meet the needs of government agencies
Project Implementation and Real-World Use Cases for Government
- Building an AI-powered IoT solution for government infrastructure management
- Deploying AI in autonomous systems for government operations
- Case studies of AI on edge devices in government applications
Summary and Next Steps for Government
Requirements
- Experience with training and inference of artificial intelligence models
- Fundamental understanding of embedded systems
- Proficiency in Python programming
Audience for Government
- Artificial Intelligence Developers
- Embedded Systems Engineers
- Robotics Engineers
21 Hours
