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
Introduction to Interactive AI Agents
- Overview of AgentCore's interactive capabilities
- Designing enriched workflows leveraging memory and tools
- Exploring use cases in analytics, automation, and support
Managing AgentCore Memory
- Configuring session persistence settings
- Architecting multi-step, context-aware workflows
- Hands-on lab: constructing a memory-enabled data analysis agent
Dynamic Computation via Code Interpreter
- Review of supported operations and security boundaries
- Safe execution of transformations and calculations
- Hands-on lab: implementing real-time data transformations
Real-Time Interaction Using the Browser Tool
- Configuring the browser tool for agent workflows
- Performing data retrieval and user interface interactions
- Hands-on lab: developing an agent with web interaction capabilities
Synthesizing Memory, Code, and Browser Tools
- Chaining workflows across memory and various tools
- Designing multi-modal, interactive workflows
- Hands-on lab: building a comprehensive customer support assistant
Testing and Observability
- Debugging complex interactive workflows
- Logging and monitoring tool usage patterns
- Hands-on lab: setting up observability dashboards for interactive agents
Best Practices for Enterprise Deployment
- Balancing interactivity with security and governance requirements
- Optimizing for both performance and user experience
- Reviewing enterprise adoption case studies
Summary and Future Steps
Requirements
- Proficiency in Python or JavaScript for prototyping purposes
- Comprehensive understanding of LLM-powered application design
- Working knowledge of cloud-based data workflows
Target Audience
- ML Engineers
- Data Scientists
- UX-Focused Developers
14 Hours
