11 — Implement Application Integration Patterns and Development Tools

11 — Implement Application Integration Patterns and Development Tools

Module Introduction

• Introduction

Introduction To Application Integration Patterns And Development Tools

• Introduction
• AI model deployment patterns
• Infrastructure as code for AI deployments
• Multi-account architecture considerations
• Resources

Ai Enterprise System Enhancements Introduction

• Introduction
• Benefits of AI enterprise system enhancements
• Enterprise system enhancement opportunities
• Implementation strategy and considerations
• Enterprise AI implementation best practices

Crm Enhancements

• Introduction
• CRM enhancement configuration
• Customer interaction enhancement
• Data analysis and insights generation
• Content creation and automation
• CRM-specific implementation considerations

Document Processing Enhancements

• Introduction
• Step Functions workflow configuration
• Intelligent document extraction
• Content enhancement and transformation
• Workflow automation and orchestration
• Amazon Bedrock Data Automation
• Document processing implementation considerations

Knowledge Management Enhancements

• Introduction
• Amazon Q business configuration
• Intelligent knowledge retrieval
• Content enhancement and generation
• Amazon Bedrock Knowledge Bases
• Knowledge discovery and analytics
• Knowledge management implementation considerations

Automated Data Processing Enhancements

• Introduction
• Understanding Automated Data Processing
• Workflow Processing Transformations
• Processing Approaches: Standard and Custom Output
• Organizing Workflows with Projects
• Implementing a BDA API Workflow
• Data processing implementation considerations

Ai-assisted Development With Kiro

• Introduction
• About Kiro
• Code Generation and Development Workflows

Module Summary

• Recap and next steps
• Resources