07 — Agentic AI Solutions and Tool Integrations
07 — Agentic AI Solutions and Tool Integrations
Section titled “07 — Agentic AI Solutions and Tool Integrations”Part 2 Introduction
Section titled “Part 2 Introduction”- Introduction
Module Introduction
Section titled “Module Introduction”- Introduction
- Introduction to AI Agents
- AI Agent Benefits
- AI Agent Use Cases
- Integration with AWS Services
Strands Agents Sdk
Section titled “Strands Agents Sdk”- Introduction
- Strands Agent Framework
- Advantages and Considerations
- Strands Agent Architecture
- Use Cases for Strands Agents
- Example Workflow: Content Generation
Multi-agent Systems
Section titled “Multi-agent Systems”- Introduction
- Multi-Agent Patterns
- Orchestration Pattern Selection
- Advantages and Considerations
- Multi-Agent Use Cases
- Multi-Agent Architecture
Advanced Problem-solving Systems
Section titled “Advanced Problem-solving Systems”- Introduction
- Core principles of advanced problem-solving systems
- Agent Design Patterns
- AWS Step Functions for Agent Design Patterns
- Advantages and Considerations of AWS Step Functions for Advanced Problem-Solving
- Advanced Problem-Solving Use Cases
- Implementation Architecture with AWS Step Functions
Model Context Protocol For Agent-tool Interactions
Section titled “Model Context Protocol For Agent-tool Interactions”- Introduction
- Introduction to Model Context Protocol
- MCP Implementation Patterns
- Advantages and Considerations
- MCP Implementation Use Cases
- Example MCP Workflow
Benefits Of Implementing Model Extension Frameworks
Section titled “Benefits Of Implementing Model Extension Frameworks”- Introduction
- External Data and Context Access
- Dynamic Adaption Capabilities
- External Service Integration
- Personalization and User Adaptation
- Efficiency and Performance Benefits
- Security and Access Control
Model Extension Framework Workflows
Section titled “Model Extension Framework Workflows”- Introduction
- AWS Lambda for Stateless MCP Servers
- Amazon ECS for Persistent MCP Servers
- MCP Client Libraries and Access Patterns
- Best Practices
- Integration with AWS Services
Benefits Of Collaborative Ai Systems
Section titled “Benefits Of Collaborative Ai Systems”- Introduction
- Enhanced Model Accuracy and Relevance
- Enhanced User Trust and Engagement
- Adaptive Learning and Responsiveness
- Example Workflow: Ethical Decision-Making and Fairness
Collaborative Ai System Workflows
Section titled “Collaborative Ai System Workflows”- Introduction
- AWS Step Functions for Review and Approval Processes
- Amazon API Gateway for Feedback Collection
- Human Augmentation Patterns
- Best Practices
- Integration with AWS Services
- Workflow Example: Human Review Integration
Amazon Bedrock Agentcore
Section titled “Amazon Bedrock Agentcore”- Introduction
- Prototype-to-production chasm
- Advantages of Amazon Bedrock AgentCore
- Seven Core Primitives of AgentCore
- Use Cases for AgentCore
Workflow Example
Section titled “Workflow Example”- Introduction
- Workflow Example: Text Summarization Enhancement
Module Summary
Section titled “Module Summary”- Recap and next steps
- Resources