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Course Outline
Introduction to Interactive AI Agents
- Overview of AgentCore's interactive capabilities.
- Designing rich workflows using memory and tools.
- Use cases spanning analytics, automation, and support.
Working with AgentCore Memory
- Configuring session persistence.
- Designing multi-step, context-aware workflows.
- Hands-on lab: building a memory-enabled data analysis agent.
Dynamic Computation with the Code Interpreter
- Supported operations and security constraints.
- Safely executing transformations and calculations.
- Hands-on lab: enabling real-time data transformations.
Real-Time Interaction with the Browser Tool
- Setting up the browser tool for agent workflows.
- Data retrieval and user interface interactions.
- Hands-on lab: building an agent with web interaction capabilities.
Combining Memory, Code, and Browser Tools
- Chaining 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 usage.
- 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.
Summary and Next Steps
Requirements
- Experience with Python or JavaScript for prototyping.
- Understanding of LLM-powered application design.
- 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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