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Course Outline
Introduction to Google AI Studio for Government
- Overview of Google AI Studio and its capabilities for government use
- Setting up a secure workspace and exploring the user interface
- Understanding AI project workflows tailored for government operations
Data Preparation and Management for Government
- Importing and preprocessing datasets to meet government standards
- Utilizing data visualization tools for enhanced insights
- Ensuring high data quality for AI projects in the public sector
Model Training and Optimization for Government
- Leveraging AutoML for rapid model development aligned with government needs
- Custom model training using TensorFlow and PyTorch, ensuring compliance with public sector regulations
- Conducting hyperparameter tuning and performance optimization to meet government efficiency standards
Model Deployment and Scaling for Government
- Deploying models as REST APIs within secure government environments
- Integrating models with Google Cloud infrastructure to support government operations
- Scaling AI services to meet the demands of large-scale government projects
Leveraging Advanced Features for Government
- Implementing Explainable AI (XAI) practices to enhance transparency and accountability in government applications
- Utilizing Google AI APIs for vision, language, and other capabilities to support public sector initiatives
- Exploring pre-trained models and transfer learning to accelerate government projects
Monitoring and Troubleshooting for Government
- Monitoring deployed models to ensure consistent performance in government settings
- Analyzing model predictions and feedback to improve government services
- Troubleshooting common issues in AI workflows to maintain operational integrity
Real-World Applications for Government
- Case studies of AI solutions powered by Google AI Studio, tailored for government agencies
- Building a complete AI project from start to finish, aligned with government requirements
Summary and Next Steps for Government
Requirements
- A strong understanding of machine learning concepts and frameworks
- Experience with Python programming
- Familiarity with Google Cloud services is recommended for government applications
Audience
- Artificial intelligence developers
- Machine learning engineers
- Data scientists
21 Hours
