Advanced Fine-Tuning & Prompt Management in Vertex AI Training Course

Introduction to Advanced Model Customization

• Overview of fine-tuning and prompt management in Vertex AI for government applications
• Use cases for model optimization in public sector operations
• Hands-on lab: setting up the Vertex AI workspace for government use

Supervised Fine-Tuning of Gemini Models

• Preparing training data for fine-tuning to enhance governmental tasks
• Running supervised fine-tuning pipelines for improved model performance in public sector applications
• Hands-on lab: fine-tuning a Gemini model for government-specific needs

Prompt Engineering and Version Management

• Designing effective prompts for generative AI to support government operations
• Version control and reproducibility in governmental projects
• Hands-on lab: creating and testing prompt versions for government use

Evaluation and Benchmarking

• Overview of evaluation libraries in Vertex AI for government models
• Automating testing and validation workflows to ensure reliability in public sector applications
• Hands-on lab: evaluating prompts and outputs for government use

Model Deployment and Monitoring

• Integrating optimized models into governmental applications to enhance service delivery
• Monitoring performance and detecting drift in public sector models
• Hands-on lab: deploying a fine-tuned model for government operations

Best Practices for Enterprise AI Optimization

• Scalability and cost management for government agencies
• Ethical considerations and bias mitigation in public sector AI applications
• Case study: improving AI applications in production for government use

Future Directions in Fine-Tuning and Prompt Management

• Emerging trends in LLM optimization for government applications
• Automated prompt adaptation and reinforcement learning to support public sector needs
• Strategic implications for enterprise adoption of AI in government agencies

Summary and Next Steps