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Course Outline
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Introduction to Edge AI for Government
- Defining Edge AI and its significance in the public sector
- Benefits of deploying AI models at the edge for government operations
- Overview of the AI landscape for edge computing, tailored to governmental needs
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Convolutional Neural Networks (CNN) Architectures for Edge AI in Government
- Understanding the basics of CNNs and their applicability to Edge AI in government settings
- Design considerations for CNNs on edge devices used by government agencies
- Case studies: Efficient CNN models in action within governmental frameworks
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Designing Compact Networks for Edge Deployment in Government
- Techniques for reducing model size without compromising accuracy, suitable for government use
- Tools and frameworks for optimizing models for government applications
- Evaluating trade-offs between performance and complexity in governmental contexts
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Techniques in Knowledge Distillation for Edge AI in Government
- Principles of knowledge distillation and its benefits for government operations
- Implementing knowledge distillation for edge models used by governmental entities
- Practical examples and success stories from government projects
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Deep Compression Methods for Edge AI Models in Government
- Overview of model compression techniques (pruning, quantization) for government use
- Application of compression methods to edge AI scenarios in governmental settings
- Impact on performance, accuracy, and model deployment in government agencies
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Federated Learning Concepts and Applications for Government
- Introduction to federated learning and its importance for privacy and efficiency in government operations
- Architectural and operational aspects of federated learning systems designed for government use
- Challenges and solutions in implementing federated learning at the edge for governmental applications
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Implementing Edge AI Solutions for Government
- End-to-end workflow for deploying AI models on edge devices in government agencies
- Tools and platforms supporting Edge AI development for governmental projects
- Monitoring and managing Edge AI applications in production within government environments
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Case Studies and Project Work for Government
- Analyzing real-world Edge AI deployments across various governmental sectors
- Group project: Design and implement an Edge AI solution for a government agency
- Presentation and critique of project outcomes in a government context
Requirements
- Familiarity with cloud computing and artificial intelligence for government
Audience
- Business Analysts
- Product Managers
- Developers
35 Hours
