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Course Outline
Introduction to Interactive AI Agents for Government
- Overview of AgentCore's interactive capabilities
- Designing robust workflows with memory and tools
- Use cases across analytics, automation, and support for government operations
Working with AgentCore Memory
- Configuring session persistence for government applications
- Designing multi-step, context-aware workflows to enhance public sector processes
- Hands-on lab: building a memory-enabled data analysis agent for government use
Dynamic Computation with the Code Interpreter
- Supported operations and security constraints in government environments
- Executing transformations and calculations safely to ensure compliance and accuracy
- Hands-on lab: enabling real-time data transformations for government tasks
Real-Time Interaction with the Browser Tool
- Setting up the browser tool for agent workflows in government systems
- Data retrieval and user interface interactions to improve public service delivery
- Hands-on lab: building an agent with web interaction capabilities for government use
Combining Memory, Code, and Browser Tools
- Chaining workflows across memory and tools to streamline government operations
- Designing multi-modal, interactive workflows to enhance public sector efficiency
- Hands-on lab: building a customer support assistant for government services
Testing and Observability
- Debugging interactive workflows to ensure reliability in government applications
- Logging and monitoring tool usage to maintain transparency and accountability
- Hands-on lab: observability dashboards for interactive agents in government settings
Best Practices for Enterprise Deployment
- Balancing interactivity with security and governance in government agencies
- Optimizing for performance and user experience to meet public sector needs
- Enterprise adoption case studies from government organizations
Summary and Next Steps
Requirements
- Experience with Python or JavaScript for prototyping applications
- Understanding of large language model (LLM) powered application design
- Familiarity with cloud-based data workflows and governance practices
Audience for Government
- Machine learning engineers
- Data scientists
- User experience (UX) focused developers
14 Hours
