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Duration 14 hours
Course Outline
Overview of Interactive Artificial Intelligence Agents
- Summary of AgentCore interactive functionality
- Architecting advanced processes utilizing persistent memory and integrated tools
- Applications in data analytics, process automation, and operational support
Management of AgentCore Memory Systems
- Establishing session persistence parameters
- Formulating multi-step workflows with contextual awareness
- Practical exercise: developing a memory-integrated data analysis agent
Dynamic Processing via Secure Code Interpretation
- Defined operational parameters and security protocols
- Secure execution of data transformations and computational tasks
- Practical exercise: implementing real-time data transformation capabilities
Immediate Engagement via Browser Utility
- Initialization of browser tools within agent frameworks
- Data acquisition and interface-based interactions
- Practical exercise: constructing an agent with web interface interaction capabilities
Integration of Memory, Code, and Browser Utilities
- Sequential workflow chaining across memory and tool modules
- Architecting multimodal, interactive operational processes
- Practical exercise: building a customer support assistance system
Validation and System Observability
- Diagnostic procedures for interactive workflows
- System logging and monitoring of tool utilization
- Practical exercise: establishing observability dashboards for interactive agents
Optimal Practices for Enterprise Implementation
- Alignment of interactive capabilities with security and governance standards
- Optimization for operational performance and user experience
- Enterprise adoption case analyses
Conclusion and Subsequent Action Items
Requirements
- Proficiency in Python or JavaScript for prototype development
- Comprehension of LLM-driven application architecture
- Knowledge of cloud-based data processing workflows
Target Audience
- Machine Learning Engineers
- Data Scientists
- User Experience-focused Developers