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Course Outline
Introduction to TensorFlow Lite for Government
- Overview of TensorFlow Lite and its architectural components
- Comparison with TensorFlow and other edge AI frameworks for government use
- Benefits and challenges of using TensorFlow Lite for Edge AI in public sector applications
- Case studies of TensorFlow Lite in Edge AI applications relevant to government operations
Setting Up the TensorFlow Lite Environment for Government
- Installing TensorFlow Lite and its dependencies for government systems
- Configuring the development environment to meet government standards
- Introduction to TensorFlow Lite tools and libraries suitable for government projects
- Hands-on exercises for setting up the TensorFlow Lite environment in a government context
Developing AI Models with TensorFlow Lite for Government
- Designing and training AI models for edge deployment in government applications
- Converting TensorFlow models to TensorFlow Lite format for use in government systems
- Optimizing models for performance and efficiency in government operations
- Hands-on exercises for model development and conversion tailored to government needs
Deploying TensorFlow Lite Models for Government
- Deploying models on various edge devices used by government agencies (e.g., smartphones, microcontrollers)
- Running inferences on edge devices to support government operations
- Troubleshooting deployment issues in a government setting
- Hands-on exercises for model deployment in government applications
Tools and Techniques for Model Optimization for Government
- Quantization and its benefits for government AI models
- Pruning and model compression techniques suitable for government use
- Utilizing TensorFlow Lite's optimization tools in a government context
- Hands-on exercises for optimizing models for government applications
Building Practical Edge AI Applications for Government
- Developing real-world Edge AI applications using TensorFlow Lite for government projects
- Integrating TensorFlow Lite models with other systems and applications used by government agencies
- Case studies of successful Edge AI projects in the public sector
- Hands-on project for building a practical Edge AI application for government use
Summary and Next Steps for Government
Requirements
- An understanding of artificial intelligence and machine learning concepts for government applications.
- Experience with TensorFlow for developing and deploying models.
- Basic programming skills, with Python being the recommended language.
Audience
- Developers working on government projects.
- Data scientists supporting public sector initiatives.
- AI practitioners focused on government solutions.
14 Hours