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
- Architecting rich workflows utilizing memory and tools
- Real-world applications in analytics, automation, and support
Utilizing AgentCore Memory
- Configuring session persistence settings
- Structuring multi-step, context-aware processes
- Practical lab: Creating a memory-enabled data analysis agent
Dynamic Computation via the Code Interpreter
- Reviewing supported operations and security boundaries
- Safely executing transformations and calculations
- Practical lab: Implementing real-time data transformations
Real-Time Engagement with the Browser Tool
- Integrating the browser tool into agent workflows
- Managing data retrieval and user interface interactions
- Practical lab: Developing an agent with web interaction features
Synergizing Memory, Code, and Browser Tools
- Connecting workflows across memory and tool interfaces
- Crafting multi-modal, interactive user experiences
- Practical lab: Building a customer support assistant
Testing and Observability
- Debugging interactive agent workflows
- Tracking and monitoring tool utilization
- Practical lab: Setting up observability dashboards for interactive agents
Enterprise Deployment Best Practices
- Striking a balance between interactivity, security, and governance
- Optimizing system performance and user satisfaction
- Reviewing enterprise adoption case studies
Conclusions and Future Directions
Requirements
- Proficiency in Python or JavaScript for prototyping
- Foundational understanding of LLM-driven application architecture
- Exposure to cloud-based data processing workflows
Target Audience
- Machine Learning Engineers
- Data Scientists
- Developers with a focus on User Experience
