AWS AI Services Ecosystem

Complete toolkit for building intelligent AI agents

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🧠 Foundation Models
  • Amazon Bedrock
  • Bedrock Agents
  • Bedrock AgentCore
  • Bedrock Knowledge Bases
  • Bedrock Guardrails
  • SageMaker JumpStart
🎯 AI Intelligence
  • Amazon Comprehend
  • Amazon Rekognition
  • Amazon Textract
  • Amazon Transcribe
  • Amazon Polly
  • Amazon Kendra
⚡ Development Tools
  • Amazon SageMaker
  • CodeWhisperer
  • Amazon Lex
  • AWS SDK
  • CloudFormation
  • AWS CDK
🏗️ Infrastructure
  • AWS Lambda
  • Amazon ECS
  • Amazon ECR
  • Amazon S3
  • Amazon RDS
  • Amazon OpenSearch
Typical AI Agent Implementation Flow
1
Foundation
Bedrock + Models
2
Intelligence
Comprehend + Kendra
3
Development
SageMaker + SDK
4
Deploy
Lambda + ECS
5
Monitor
CloudWatch + X-Ray
Common AI Agent Use Cases
📞 Customer Service Agent
Intelligent chatbot that handles customer inquiries, processes requests, and escalates complex issues to humans.
Services: Bedrock + Lex + Comprehend + Kendra
📊 Business Intelligence Agent
Analyzes business data, generates reports, and provides insights through natural language queries.
Services: Bedrock + SageMaker + QuickSight + S3
📝 Document Processing Agent
Extracts information from documents, summarizes content, and organizes data automatically.
Services: Textract + Comprehend + Bedrock + S3
🔍 Research Assistant Agent
Searches through knowledge bases, synthesizes information, and provides comprehensive research summaries.
Services: Kendra + Bedrock + OpenSearch + Lambda
💻 Code Review Agent
Reviews code for bugs, suggests improvements, and ensures compliance with coding standards.
Services: CodeWhisperer + Bedrock + CodeCommit
🎥 Content Moderation Agent
Automatically reviews and moderates user-generated content for inappropriate material.
Services: Rekognition + Comprehend + Guardrails
Service Categories
Foundation Models & Core AI
Specialized AI Services
Development & Integration
Infrastructure & Deployment