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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 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