AWS AI Services Guide

1. Pre‑trained AI Services (API‑driven)

Easily integrate AI capabilities into your app with minimal ML knowledge:

• Amazon Rekognition – image/video analysis (faces, objects, text, unsafe content) :contentReference[oaicite:1]{index=1}
• Amazon Transcribe – speech-to-text (real-time or batch) :contentReference[oaicite:2]{index=2}
• Amazon Polly – natural text-to-speech in 41+ languages :contentReference[oaicite:3]{index=3}
• Amazon Comprehend – NLP: sentiment, entities, key phrases :contentReference[oaicite:4]{index=4}
• Amazon Translate – neural machine translation :contentReference[oaicite:5]{index=5}
• Amazon Textract – extract typed/handwritten text and form data :contentReference[oaicite:6]{index=6}
• Amazon Lex – build voice/text chatbots :contentReference[oaicite:7]{index=7}

2. Machine Learning Platform: Amazon SageMaker

A complete ML lifecycle toolset:

• SageMaker Studio & JumpStart – low-code notebooks, model templates
• Training & Hosting – custom and open-source model deployment
• Model Monitor – detect data/model drift
• Partner AI Apps – deploy third-party solutions

3. Generative AI & Foundation Models

Build LLM-powered and generative AI applications:

• Amazon Bedrock – access and customize foundation models (Titan, Anthropic, Nova, etc.) :contentReference[oaicite:8]{index=8}
• Amazon Q – business-focused chat assistant (code help, document QA) :contentReference[oaicite:9]{index=9}
• Amazon Nova Sonic – speech-to-speech generation/transcription in real-time, with expressive tone adaptation :contentReference[oaicite:10]{index=10}

4. Specialized ML Services & Infrastructure

• Amazon Personalize – recommendations
• Amazon Forecast – time-series forecasting
• Amazon Kendra – enterprise search
• Amazon A2I – human review workflows
• Data tools: AWS Glue, Kinesis, OpenSearch

🔧 Choosing the Right Service

1. Need simple AI via API? → Pre-trained services (Rekognition, Polly…)
2. Custom models? → SageMaker
3. Generative/chat apps? → Bedrock, Q, Nova Sonic
4. Production readiness? → Use A2I, Monitor, Glue, Kinesis

📐 Sample Architectures

Smart Document Processing

• Use S3 + Glue to ingest docs
• Extract info with Textract & analyze via Comprehend
• Flagged results get human review via A2I

Intelligent Contact Center

• Call audio → Transcribe → feed to Bedrock/Nova Sonic
• Summarize and respond via Lex bot

🛡️ Security, Cost & Responsible AI

• Enterprise-grade security: IAM, VPC, encryption
• AWS AI Service Cards improve transparency on bias, fairness
• Epic inference hardware (Inferentia2, Trainium2) cuts costs :contentReference[oaicite:11]{index=11}

🚀 Getting Started

1. Define your AI need
2. Explore relevant AWS docs/projects
3. Prototype using free tiers & code samples
4. Scale with SageMaker (custom) or Bedrock/Q/Nova Sonic (generative)
5. Add monitoring, human-in-the-loop & guardrails