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Course Outline
Introduction to Google AI Studio for Government
- Core Features and Capabilities
- Understanding Workflow Components
- Exploring the Google AI Model Ecosystem
Designing AI Workflows for Government
- Structuring End-to-End Workflows
- Choosing Components for Automation
- Managing Inputs, Outputs, and Parameters
Model Integration and API Usage for Government
- Connecting AI Studio with Google AI APIs
- Integrating Custom and Third-Party Models
- Building Reusable Components
Testing and Validation for Government
- Creating Test Scenarios
- Validating Workflow Reliability
- Debugging Model Interactions
Performance Optimization for Government
- Improving Response Speed and Efficiency
- Managing Resource Usage
- Scaling Workflows for Production
Security and Compliance for Government
- Access Control and User Management
- Data Protection Principles
- Ensuring Secure API Communication
Monitoring and Maintenance for Government
- Monitoring Workflow Performance
- Logging and Analytics
- Lifecycle Management for Deployed Workflows
Extending AI Studio Workflows for Government
- Integrating with External Tools
- Automating with Cloud Functions
- Enhancing Functionality Using Third-Party Services
Summary and Next Steps for Government
Requirements
- An understanding of artificial intelligence (AI) model development workflows for government applications.
- Experience with cloud-based tools or platforms used in the public sector.
- Familiarity with prompt engineering concepts to enhance AI functionalities for government services.
Audience
- AI operations teams within government agencies
- DevOps professionals working on public sector projects
- System administrators responsible for government IT infrastructure
14 Hours
