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

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