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Course Outline

Overview of Interactive AI Agents

  • Comprehensive review of AgentCore interactive features
  • Architecting complex workflows utilizing memory systems and tool integration
  • Application scenarios spanning data analytics, process automation, and customer support for government operations

Leveraging AgentCore Memory Capabilities

  • Configuring session persistence mechanisms
  • Designing multi-step workflows with contextual awareness
  • Practical exercise: developing a data analysis agent with persistent memory

Dynamic Computation via Code Interpreter

  • Overview of supported operations and associated security constraints
  • Safely executing data transformations and calculations
  • Practical exercise: implementing real-time data transformation capabilities

Real-Time Interaction Using the Browser Tool

  • Configuration of the browser tool within agent workflows
  • Data retrieval strategies and user interface integration
  • Practical exercise: constructing an agent with web interaction functionality

Integrating Memory, Code, and Browser Tools

  • Orchestrating workflows that chain memory and tool usage
  • Designing multi-modal interactive processes
  • Practical exercise: developing a customer support assistant for government use cases

Testing and Observability Frameworks

  • Debugging techniques for interactive workflows
  • Logging protocols and monitoring of tool utilization
  • Practical exercise: implementing observability dashboards for interactive agents

Best Practices for Enterprise Deployment

  • Balancing interactivity with security controls and governance requirements
  • Optimizing system performance and user experience
  • Case studies on enterprise adoption within government agencies

Summary and Next Steps

Requirements

  • Proficiency in Python or JavaScript for rapid development and prototyping
  • Knowledge of architectural principles for applications leveraging large language models
  • Experience managing data pipelines within cloud computing environments

Target Audience

  • Machine learning engineers
  • Data scientists
  • Developers specializing in user experience design
 14 Hours

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