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Course Outline
Introduction to Interactive AI Agents
- Overview of AgentCore interactive capabilities
- Designing robust workflows using memory and tools
- Use cases in analytics, automation, and support
Utilizing AgentCore Memory
- Configuring session persistence
- Architecting multi-step, context-aware workflows
- Hands-on lab: creating a data analysis agent with memory capabilities
Dynamic Computation via Code Interpreter
- Supported operations and security limitations
- Safe execution of transformations and calculations
- Hands-on lab: implementing real-time data transformations
Real-Time Engagement with the Browser Tool
- Configuration of the browser tool for agent workflows
- Data retrieval and interaction with user interfaces
- Hands-on lab: developing an agent with web interaction features
Integrating Memory, Code, and Browser Tools
- Linking workflows across memory and tools
- Designing multi-modal, interactive workflows
- Hands-on lab: building a customer support assistant
Testing and Observability
- Debugging interactive workflows
- Logging and monitoring tool utilization
- Hands-on lab: observability dashboards for interactive agents
Best Practices for Enterprise Deployment
- Balancing interactivity with security and governance
- Optimizing for performance and user experience
- Enterprise adoption case studies
Conclusion and Next Steps
Requirements
- Experience in prototyping with Python or JavaScript
- Understanding of application design powered by LLMs
- Familiarity with cloud-based data workflows
Audience
- ML engineers
- Data scientists
- UX-focused developers
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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