Course Outline

Introduction to Interactive AI Agents for Government

  • Overview of AgentCore's Interactive Capabilities
  • Designing Robust Workflows with Memory and Tools
  • Use Cases in Analytics, Automation, and Support for Government

Working with AgentCore Memory for Government

  • Configuring Session Persistence for Government Applications
  • Designing Multi-Step, Context-Aware Workflows for Government
  • Hands-on Lab: Building a Memory-Enabled Data Analysis Agent for Government

Dynamic Computation with the Code Interpreter for Government

  • Supported Operations and Security Constraints for Government Use
  • Executing Transformations and Calculations Safely in Government Environments
  • Hands-on Lab: Enabling Real-Time Data Transformations for Government

Real-Time Interaction with the Browser Tool for Government

  • Setting Up the Browser Tool for Agent Workflows in Government
  • Data Retrieval and User Interface Interactions for Government Applications
  • Hands-on Lab: Building an Agent with Web Interaction Capabilities for Government

Combining Memory, Code, and Browser Tools for Government

  • Chaining Workflows Across Memory and Tools for Government
  • Designing Multi-Modal, Interactive Workflows for Government Use
  • Hands-on Lab: Building a Customer Support Assistant for Government

Testing and Observability for Government

  • Debugging Interactive Workflows in Government Systems
  • Logging and Monitoring Tool Usage for Government Operations
  • Hands-on Lab: Creating Observability Dashboards for Interactive Agents in Government

Best Practices for Enterprise Deployment of AI Agents for Government

  • Balancing Interactivity with Security and Governance for Government
  • Optimizing Performance and User Experience for Government Users
  • Enterprise Adoption Case Studies for Government Agencies

Summary and Next Steps for Government

Requirements

  • Proficiency with Python or JavaScript for prototyping applications for government use
  • Understanding of large language model (LLM) powered application design
  • Familiarity with cloud-based data workflows and governance practices

Audience

  • Machine learning engineers for government projects
  • Data scientists supporting public sector initiatives
  • User experience (UX) developers focused on government applications
 14 Hours

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