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.
Duration 14 hours
Course Outline
Introduction to Interactive AI Agents
- Overview of AgentCore’s interactive capabilities
- Designing comprehensive workflows using memory and tools
- Applications across analytics, automation, and support domains
Working with AgentCore Memory
- Configuring session persistence
- Architecting multi-step, context-aware workflows
- Lab: Developing a memory-enabled data analysis agent
Dynamic Computation with the Code Interpreter
- Supported operations and security limitations
- Safely executing transformations and calculations
- Lab: Implementing real-time data transformations
Real-Time Interaction with the Browser Tool
- Setting up the browser tool within agent workflows
- Retrieving data and interacting with user interfaces
- Lab: Building an agent with web interaction capabilities
Combining Memory, Code, and Browser Tools
- Chaining workflows across memory and various tools
- Designing multi-modal, interactive experiences
- Lab: Creating a comprehensive customer support assistant
Testing and Observability
- Debugging interactive workflow processes
- Logging and monitoring tool utilization
- Lab: Implementing observability dashboards for interactive agents
Best Practices for Enterprise Deployment
- Balancing interactivity with security and governance requirements
- Optimizing for performance and user experience
- Reviewing enterprise adoption case studies
Summary and Next Steps
Requirements
- Proficiency in Python or JavaScript for prototyping
- Conceptual understanding of LLM-driven application architecture
- Experience with cloud-based data workflows
Target Audience
- ML engineers
- Data scientists
- UX-oriented developers
