Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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