Building Fully Managed AI Agents with AgentCore: From Concept to Production Training Course

Introduction to Managed AI Agents for Government

• What is AgentCore?
• Key features and services for government operations
• Use cases across various public sector domains

Designing Your First Agent for Government

• Conceptualizing agent roles and goals in the public sector
• Configuring managed agent settings for government applications
• Hands-on lab: building a simple agent for government use

Enhancing Agents with Memory and Tools for Government

• Adding persistence and context to support public sector tasks
• Integrating tools and APIs for enhanced government functionality
• Hands-on lab: extending agent capabilities for government operations

AgentCore Runtime and Gateway Basics for Government

• Runtime architecture overview for public sector deployment
• Gateway integration for government applications
• Hands-on lab: connecting an agent to a government application

Deploying Managed Agents for Government

• Deployment options in AgentCore for public sector use
• Scaling and operational considerations for government agencies
• Hands-on lab: deploying a fully managed agent for government operations

Monitoring and Observability for Government

• Metrics and dashboards in AgentCore for public sector monitoring
• Tracking performance and usage in government applications
• Hands-on lab: building a monitoring workflow for government use

Best Practices and Future Trends for Government

• Governance and compliance considerations for managed AI agents in the public sector
• Optimizing for usability and reliability in government applications
• Emerging directions in managed AI agents for government operations

Summary and Next Steps for Government