Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
-
Introduction to Edge AI for Government
- Defining Edge AI and its significance for government operations
- Benefits of deploying AI models at the edge in public sector applications
- Overview of the AI landscape for edge computing for government use cases
-
Convolutional Neural Networks (CNN) Architectures for Edge AI in Government
- Understanding the basics of CNNs and their applicability to Edge AI for government applications
- Design considerations for CNNs on edge devices in a government context
- Case studies: Efficient CNN models in action for government projects
-
Designing Compact Networks for Edge Deployment for Government
- Techniques for reducing model size without sacrificing accuracy in government applications
- Tools and frameworks for model optimization for government use
- Evaluating trade-offs between performance and complexity in government contexts
-
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 in a government setting
- Practical examples and success stories from government projects
-
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 government operations
- Impact on performance, accuracy, and model deployment for government applications
-
Federated Learning Concepts and Applications for Government
- Introduction to federated learning and its importance for privacy and efficiency in government
- Architectural and operational aspects of federated learning systems for government use
- Challenges and solutions in implementing federated learning at the edge for government operations
-
Implementing Edge AI Solutions for Government
- End-to-end workflow for deploying AI models on edge devices for government projects
- Tools and platforms supporting Edge AI development for government use
- Monitoring and managing Edge AI applications in production for government agencies
-
Case Studies and Project Work for Government
- Analyzing real-world Edge AI deployments across various government 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
- Knowledge of cloud computing and artificial intelligence for government applications
Audience
- Business Analysts
- Product Managers
- Developers
35 Hours
